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Research Methodology – Types, Examples and writing Guide

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Research Methodology

Definition:

Research Methodology refers to the systematic and scientific approach used to conduct research, investigate problems, and gather data and information for a specific purpose. It involves the techniques and procedures used to identify, collect , analyze , and interpret data to answer research questions or solve research problems . Moreover, They are philosophical and theoretical frameworks that guide the research process.

Structure of Research Methodology

Research methodology formats can vary depending on the specific requirements of the research project, but the following is a basic example of a structure for a research methodology section:

I. Introduction

• Provide an overview of the research problem and the need for a research methodology section
• Outline the main research questions and objectives

II. Research Design

• Explain the research design chosen and why it is appropriate for the research question(s) and objectives
• Discuss any alternative research designs considered and why they were not chosen
• Describe the research setting and participants (if applicable)

III. Data Collection Methods

• Describe the methods used to collect data (e.g., surveys, interviews, observations)
• Explain how the data collection methods were chosen and why they are appropriate for the research question(s) and objectives
• Detail any procedures or instruments used for data collection

IV. Data Analysis Methods

• Describe the methods used to analyze the data (e.g., statistical analysis, content analysis )
• Explain how the data analysis methods were chosen and why they are appropriate for the research question(s) and objectives
• Detail any procedures or software used for data analysis

V. Ethical Considerations

• Discuss any ethical issues that may arise from the research and how they were addressed
• Explain how informed consent was obtained (if applicable)
• Detail any measures taken to ensure confidentiality and anonymity

VI. Limitations

• Identify any potential limitations of the research methodology and how they may impact the results and conclusions

VII. Conclusion

• Summarize the key aspects of the research methodology section
• Explain how the research methodology addresses the research question(s) and objectives

Research Methodology Types

Types of Research Methodology are as follows:

Quantitative Research Methodology

This is a research methodology that involves the collection and analysis of numerical data using statistical methods. This type of research is often used to study cause-and-effect relationships and to make predictions.

Qualitative Research Methodology

This is a research methodology that involves the collection and analysis of non-numerical data such as words, images, and observations. This type of research is often used to explore complex phenomena, to gain an in-depth understanding of a particular topic, and to generate hypotheses.

Mixed-Methods Research Methodology

This is a research methodology that combines elements of both quantitative and qualitative research. This approach can be particularly useful for studies that aim to explore complex phenomena and to provide a more comprehensive understanding of a particular topic.

Case Study Research Methodology

This is a research methodology that involves in-depth examination of a single case or a small number of cases. Case studies are often used in psychology, sociology, and anthropology to gain a detailed understanding of a particular individual or group.

Action Research Methodology

This is a research methodology that involves a collaborative process between researchers and practitioners to identify and solve real-world problems. Action research is often used in education, healthcare, and social work.

Experimental Research Methodology

This is a research methodology that involves the manipulation of one or more independent variables to observe their effects on a dependent variable. Experimental research is often used to study cause-and-effect relationships and to make predictions.

Survey Research Methodology

This is a research methodology that involves the collection of data from a sample of individuals using questionnaires or interviews. Survey research is often used to study attitudes, opinions, and behaviors.

Grounded Theory Research Methodology

This is a research methodology that involves the development of theories based on the data collected during the research process. Grounded theory is often used in sociology and anthropology to generate theories about social phenomena.

Research Methodology Example

An Example of Research Methodology could be the following:

Research Methodology for Investigating the Effectiveness of Cognitive Behavioral Therapy in Reducing Symptoms of Depression in Adults

Introduction:

The aim of this research is to investigate the effectiveness of cognitive-behavioral therapy (CBT) in reducing symptoms of depression in adults. To achieve this objective, a randomized controlled trial (RCT) will be conducted using a mixed-methods approach.

Research Design:

The study will follow a pre-test and post-test design with two groups: an experimental group receiving CBT and a control group receiving no intervention. The study will also include a qualitative component, in which semi-structured interviews will be conducted with a subset of participants to explore their experiences of receiving CBT.

Participants:

Participants will be recruited from community mental health clinics in the local area. The sample will consist of 100 adults aged 18-65 years old who meet the diagnostic criteria for major depressive disorder. Participants will be randomly assigned to either the experimental group or the control group.

Intervention :

The experimental group will receive 12 weekly sessions of CBT, each lasting 60 minutes. The intervention will be delivered by licensed mental health professionals who have been trained in CBT. The control group will receive no intervention during the study period.

Data Collection:

Quantitative data will be collected through the use of standardized measures such as the Beck Depression Inventory-II (BDI-II) and the Generalized Anxiety Disorder-7 (GAD-7). Data will be collected at baseline, immediately after the intervention, and at a 3-month follow-up. Qualitative data will be collected through semi-structured interviews with a subset of participants from the experimental group. The interviews will be conducted at the end of the intervention period, and will explore participants’ experiences of receiving CBT.

Data Analysis:

Quantitative data will be analyzed using descriptive statistics, t-tests, and mixed-model analyses of variance (ANOVA) to assess the effectiveness of the intervention. Qualitative data will be analyzed using thematic analysis to identify common themes and patterns in participants’ experiences of receiving CBT.

Ethical Considerations:

This study will comply with ethical guidelines for research involving human subjects. Participants will provide informed consent before participating in the study, and their privacy and confidentiality will be protected throughout the study. Any adverse events or reactions will be reported and managed appropriately.

Data Management:

All data collected will be kept confidential and stored securely using password-protected databases. Identifying information will be removed from qualitative data transcripts to ensure participants’ anonymity.

Limitations:

One potential limitation of this study is that it only focuses on one type of psychotherapy, CBT, and may not generalize to other types of therapy or interventions. Another limitation is that the study will only include participants from community mental health clinics, which may not be representative of the general population.

Conclusion:

This research aims to investigate the effectiveness of CBT in reducing symptoms of depression in adults. By using a randomized controlled trial and a mixed-methods approach, the study will provide valuable insights into the mechanisms underlying the relationship between CBT and depression. The results of this study will have important implications for the development of effective treatments for depression in clinical settings.

How to Write Research Methodology

Writing a research methodology involves explaining the methods and techniques you used to conduct research, collect data, and analyze results. It’s an essential section of any research paper or thesis, as it helps readers understand the validity and reliability of your findings. Here are the steps to write a research methodology:

• Start by explaining your research question: Begin the methodology section by restating your research question and explaining why it’s important. This helps readers understand the purpose of your research and the rationale behind your methods.
• Describe your research design: Explain the overall approach you used to conduct research. This could be a qualitative or quantitative research design, experimental or non-experimental, case study or survey, etc. Discuss the advantages and limitations of the chosen design.
• Discuss your sample: Describe the participants or subjects you included in your study. Include details such as their demographics, sampling method, sample size, and any exclusion criteria used.
• Describe your data collection methods : Explain how you collected data from your participants. This could include surveys, interviews, observations, questionnaires, or experiments. Include details on how you obtained informed consent, how you administered the tools, and how you minimized the risk of bias.
• Explain your data analysis techniques: Describe the methods you used to analyze the data you collected. This could include statistical analysis, content analysis, thematic analysis, or discourse analysis. Explain how you dealt with missing data, outliers, and any other issues that arose during the analysis.
• Discuss the validity and reliability of your research : Explain how you ensured the validity and reliability of your study. This could include measures such as triangulation, member checking, peer review, or inter-coder reliability.
• Acknowledge any limitations of your research: Discuss any limitations of your study, including any potential threats to validity or generalizability. This helps readers understand the scope of your findings and how they might apply to other contexts.
• Provide a summary: End the methodology section by summarizing the methods and techniques you used to conduct your research. This provides a clear overview of your research methodology and helps readers understand the process you followed to arrive at your findings.

When to Write Research Methodology

Research methodology is typically written after the research proposal has been approved and before the actual research is conducted. It should be written prior to data collection and analysis, as it provides a clear roadmap for the research project.

The research methodology is an important section of any research paper or thesis, as it describes the methods and procedures that will be used to conduct the research. It should include details about the research design, data collection methods, data analysis techniques, and any ethical considerations.

The methodology should be written in a clear and concise manner, and it should be based on established research practices and standards. It is important to provide enough detail so that the reader can understand how the research was conducted and evaluate the validity of the results.

Applications of Research Methodology

Here are some of the applications of research methodology:

• To identify the research problem: Research methodology is used to identify the research problem, which is the first step in conducting any research.
• To design the research: Research methodology helps in designing the research by selecting the appropriate research method, research design, and sampling technique.
• To collect data: Research methodology provides a systematic approach to collect data from primary and secondary sources.
• To analyze data: Research methodology helps in analyzing the collected data using various statistical and non-statistical techniques.
• To test hypotheses: Research methodology provides a framework for testing hypotheses and drawing conclusions based on the analysis of data.
• To generalize findings: Research methodology helps in generalizing the findings of the research to the target population.
• To develop theories : Research methodology is used to develop new theories and modify existing theories based on the findings of the research.
• To evaluate programs and policies : Research methodology is used to evaluate the effectiveness of programs and policies by collecting data and analyzing it.
• To improve decision-making: Research methodology helps in making informed decisions by providing reliable and valid data.

Purpose of Research Methodology

Research methodology serves several important purposes, including:

• To guide the research process: Research methodology provides a systematic framework for conducting research. It helps researchers to plan their research, define their research questions, and select appropriate methods and techniques for collecting and analyzing data.
• To ensure research quality: Research methodology helps researchers to ensure that their research is rigorous, reliable, and valid. It provides guidelines for minimizing bias and error in data collection and analysis, and for ensuring that research findings are accurate and trustworthy.
• To replicate research: Research methodology provides a clear and detailed account of the research process, making it possible for other researchers to replicate the study and verify its findings.
• To advance knowledge: Research methodology enables researchers to generate new knowledge and to contribute to the body of knowledge in their field. It provides a means for testing hypotheses, exploring new ideas, and discovering new insights.
• To inform decision-making: Research methodology provides evidence-based information that can inform policy and decision-making in a variety of fields, including medicine, public health, education, and business.

Advantages of Research Methodology

Research methodology has several advantages that make it a valuable tool for conducting research in various fields. Here are some of the key advantages of research methodology:

• Systematic and structured approach : Research methodology provides a systematic and structured approach to conducting research, which ensures that the research is conducted in a rigorous and comprehensive manner.
• Objectivity : Research methodology aims to ensure objectivity in the research process, which means that the research findings are based on evidence and not influenced by personal bias or subjective opinions.
• Replicability : Research methodology ensures that research can be replicated by other researchers, which is essential for validating research findings and ensuring their accuracy.
• Reliability : Research methodology aims to ensure that the research findings are reliable, which means that they are consistent and can be depended upon.
• Validity : Research methodology ensures that the research findings are valid, which means that they accurately reflect the research question or hypothesis being tested.
• Efficiency : Research methodology provides a structured and efficient way of conducting research, which helps to save time and resources.
• Flexibility : Research methodology allows researchers to choose the most appropriate research methods and techniques based on the research question, data availability, and other relevant factors.
• Scope for innovation: Research methodology provides scope for innovation and creativity in designing research studies and developing new research techniques.

Research Methodology Vs Research Methods

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Muhammad Hassan

Researcher, Academic Writer, Web developer

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How to Write a Methodology: A Step-by-Step Guide

A methodology is an essential part of any research project. It serves as a blueprint for your study, providing guidance on the methods you'll use to collect and analyze data. In this article, we'll take you through the process of writing a methodology for your research project, step by step.

Understanding the Importance of a Methodology

Before we dive into the details of how to write a methodology, it's important to understand why it's so crucial to have one in the first place. A good methodology can help you:

• Ensure that your research is conducted in a systematic and structured manner
• Provide a clear and comprehensive overview of your research methods
• Help you identify potential problems and limitations ahead of time
• Establish trust and credibility with your readers by demonstrating the rigor of your research process

Having a well-defined methodology can be the difference between a successful research project and one that falls short. By following a methodology, you can ensure that your research is conducted in a consistent and reliable manner, which will lead to more accurate and trustworthy results.

Defining the Purpose of Your Research

The first step in writing a methodology is to clearly define the purpose of your research. This will help you determine the most appropriate research methods to use. Ask yourself:

• What is the main goal of my research?
• What questions am I trying to answer?
• What hypotheses am I testing?

Answering these questions will give you a clear understanding of what you hope to achieve with your research, and will guide you in selecting the most appropriate research methods and techniques.

It's important to note that the purpose of your research should be well-defined and specific. A vague or overly broad research question can make it difficult to select appropriate research methods, and can lead to inconclusive or irrelevant results.

You should also consider the context of your research, such as the academic discipline you're working in, the research problem you're addressing, and the target audience for your research. Understanding these factors will help you tailor your methodology to the specific needs of your research project.

Establishing the Scope of Your Study

Once you've defined the purpose of your research, the next step is to establish the scope of your study. This involves defining the parameters of your research, such as:

• The geographic or temporal boundaries of your study
• The population or sample you'll be studying
• The variables you'll be measuring or analyzing

Defining the scope of your study is important because it helps you focus your research efforts and ensures that you collect data that is relevant to your research question. It also helps you avoid collecting unnecessary data, which can be time-consuming and costly.

When establishing the scope of your study, it's important to consider any potential limitations or biases that may affect your research results. For example, if you're conducting a survey, you may need to consider factors such as response rates and non-response bias. If you're conducting an experiment, you may need to consider factors such as sample size and randomization.

By considering these factors ahead of time, you can design a methodology that is well-suited to your research question and that will generate reliable and trustworthy results.

Choosing the Right Research Design

The research design you choose will depend on your research question and the type of data you're collecting. There are three main types of research designs:

Quantitative Research Design

Quantitative research involves collecting numerical data and analyzing it using statistical methods. This type of research design is often used in the natural and social sciences, where the goal is to test hypotheses and establish cause-and-effect relationships.

Qualitative Research Design

Qualitative research involves collecting non-numerical data and analyzing it using thematic analysis or other qualitative methods. This type of research design is often used in the humanities and social sciences, where the goal is to explore complex phenomena and gain a deeper understanding of human experiences.

Mixed-Methods Research Design

Mixed-methods research involves combining quantitative and qualitative research methods within a single study. This type of research design is often used in interdisciplinary research projects, where multiple perspectives and methodologies are needed to address complex research questions.

Selecting Your Research Methods

Once you've chosen a research design, you'll need to select the specific methods you'll use to collect and analyze your data. There are two main types of data collection methods:

Primary Data Collection Methods

Primary data collection methods involve collecting new data directly from research participants. This can be done through surveys, interviews, focus groups, experiments, or observation.

Secondary Data Collection Methods

Secondary data collection methods involve using existing data sources, such as government statistics, academic journals, or archival materials. This can be a cost-effective way to gather data, but it may not provide the exact data you need for your research question.

When selecting your research methods, it's important to consider the strengths and limitations of each method, as well as the ethical considerations involved in conducting research with human participants.

Evaluating the Suitability of Your Methods

Before you finalize your methodology, you'll need to evaluate the suitability of your methods. Consider:

• Whether your methods are appropriate for addressing your research questions
• Whether your sample size is sufficient for your research design
• Whether your methods are ethical and respectful of research participants
• Whether your methods are feasible given your research timeline and available resources

Developing a Sampling Strategy

Sampling is an important part of any research study, as it determines the group of people or objects you'll be studying. There are two main types of sampling techniques:

Probability Sampling Techniques

Probability sampling techniques involve selecting a sample from a larger population using random selection methods. This ensures that every member of the population has an equal chance of being selected for the study.

Non-Probability Sampling Techniques

Non-probability sampling techniques involve selecting a sample from a larger population using non-random selection methods, such as convenience sampling or purposive sampling. This can be a useful approach in situations where probability sampling is not feasible or appropriate.

Determining Sample Size

Sample size refers to the number of people or objects you'll be studying in your research. The appropriate sample size will depend on the nature of your research question, the type of data you're collecting, and the statistical power you need to detect significant effects. There are various statistical methods for determining sample size, such as power analysis or sample size calculation.

ChatGPT Prompt for Writing a Methodology

Chatgpt prompt.

Please compose a detailed and comprehensive explanation of the methods and procedures that you utilized in your research or project, including the specific steps you took to collect and analyze data, as well as any tools or instruments you employed. This should provide a clear and replicable framework for others to follow in order to replicate your results.

[ADD ADDITIONAL CONTEXT. CAN USE BULLET POINTS.]

Writing a methodology for your research project can be a daunting task, but by breaking it down into these step-by-step stages, you can ensure that your methodology is clear, comprehensive, and methodologically rigorous. Remember to consider the purpose and scope of your research, choose the appropriate research design and methods, and evaluate the suitability of your methods before finalizing your methodology. By doing so, you'll be well on your way to conducting a successful and credible research study.

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How To Write The Methodology Chapter

The what, why & how explained simply (with examples).

By: Jenna Crossley (PhD) | Reviewed By: Dr. Eunice Rautenbach | September 2021 (Updated April 2023)

So, you’ve pinned down your research topic and undertaken a review of the literature – now it’s time to write up the methodology section of your dissertation, thesis or research paper . But what exactly is the methodology chapter all about – and how do you go about writing one? In this post, we’ll unpack the topic, step by step .

Overview: The Methodology Chapter

• The purpose  of the methodology chapter
• Why you need to craft this chapter (really) well
• How to write and structure the chapter
• Methodology chapter example
• Essential takeaways

What (exactly) is the methodology chapter?

The methodology chapter is where you outline the philosophical underpinnings of your research and outline the specific methodological choices you’ve made. The point of the methodology chapter is to tell the reader exactly how you designed your study and, just as importantly, why you did it this way.

Importantly, this chapter should comprehensively describe and justify all the methodological choices you made in your study. For example, the approach you took to your research (i.e., qualitative, quantitative or mixed), who  you collected data from (i.e., your sampling strategy), how you collected your data and, of course, how you analysed it. If that sounds a little intimidating, don’t worry – we’ll explain all these methodological choices in this post .

Why is the methodology chapter important?

The methodology chapter plays two important roles in your dissertation or thesis:

Firstly, it demonstrates your understanding of research theory, which is what earns you marks. A flawed research design or methodology would mean flawed results. So, this chapter is vital as it allows you to show the marker that you know what you’re doing and that your results are credible .

Secondly, the methodology chapter is what helps to make your study replicable. In other words, it allows other researchers to undertake your study using the same methodological approach, and compare their findings to yours. This is very important within academic research, as each study builds on previous studies.

The methodology chapter is also important in that it allows you to identify and discuss any methodological issues or problems you encountered (i.e., research limitations ), and to explain how you mitigated the impacts of these. Every research project has its limitations , so it’s important to acknowledge these openly and highlight your study’s value despite its limitations . Doing so demonstrates your understanding of research design, which will earn you marks. We’ll discuss limitations in a bit more detail later in this post, so stay tuned!

Need a helping hand?

How to write up the methodology chapter

First off, it’s worth noting that the exact structure and contents of the methodology chapter will vary depending on the field of research (e.g., humanities, chemistry or engineering) as well as the university . So, be sure to always check the guidelines provided by your institution for clarity and, if possible, review past dissertations from your university. Here we’re going to discuss a generic structure for a methodology chapter typically found in the sciences.

Before you start writing, it’s always a good idea to draw up a rough outline to guide your writing. Don’t just start writing without knowing what you’ll discuss where. If you do, you’ll likely end up with a disjointed, ill-flowing narrative . You’ll then waste a lot of time rewriting in an attempt to try to stitch all the pieces together. Do yourself a favour and start with the end in mind .

Section 1 – Introduction

As with all chapters in your dissertation or thesis, the methodology chapter should have a brief introduction. In this section, you should remind your readers what the focus of your study is, especially the research aims . As we’ve discussed many times on the blog, your methodology needs to align with your research aims, objectives and research questions. Therefore, it’s useful to frontload this component to remind the reader (and yourself!) what you’re trying to achieve.

In this section, you can also briefly mention how you’ll structure the chapter. This will help orient the reader and provide a bit of a roadmap so that they know what to expect. You don’t need a lot of detail here – just a brief outline will do.

Section 2 – The Methodology

The next section of your chapter is where you’ll present the actual methodology. In this section, you need to detail and justify the key methodological choices you’ve made in a logical, intuitive fashion. Importantly, this is the heart of your methodology chapter, so you need to get specific – don’t hold back on the details here. This is not one of those “less is more” situations.

Let’s take a look at the most common components you’ll likely need to cover. 

Methodological Choice #1 – Research Philosophy

Research philosophy refers to the underlying beliefs (i.e., the worldview) regarding how data about a phenomenon should be gathered , analysed and used . The research philosophy will serve as the core of your study and underpin all of the other research design choices, so it’s critically important that you understand which philosophy you’ll adopt and why you made that choice. If you’re not clear on this, take the time to get clarity before you make any further methodological choices.

While several research philosophies exist, two commonly adopted ones are positivism and interpretivism . These two sit roughly on opposite sides of the research philosophy spectrum.

Positivism states that the researcher can observe reality objectively and that there is only one reality, which exists independently of the observer. As a consequence, it is quite commonly the underlying research philosophy in quantitative studies and is oftentimes the assumed philosophy in the physical sciences.

Contrasted with this, interpretivism , which is often the underlying research philosophy in qualitative studies, assumes that the researcher performs a role in observing the world around them and that reality is unique to each observer . In other words, reality is observed subjectively .

These are just two philosophies (there are many more), but they demonstrate significantly different approaches to research and have a significant impact on all the methodological choices. Therefore, it’s vital that you clearly outline and justify your research philosophy at the beginning of your methodology chapter, as it sets the scene for everything that follows.

Methodological Choice #2 – Research Type

The next thing you would typically discuss in your methodology section is the research type. The starting point for this is to indicate whether the research you conducted is inductive or deductive .

Inductive research takes a bottom-up approach , where the researcher begins with specific observations or data and then draws general conclusions or theories from those observations. Therefore these studies tend to be exploratory in terms of approach.

Conversely , d eductive research takes a top-down approach , where the researcher starts with a theory or hypothesis and then tests it using specific observations or data. Therefore these studies tend to be confirmatory in approach.

Related to this, you’ll need to indicate whether your study adopts a qualitative, quantitative or mixed  approach. As we’ve mentioned, there’s a strong link between this choice and your research philosophy, so make sure that your choices are tightly aligned . When you write this section up, remember to clearly justify your choices, as they form the foundation of your study.

Methodological Choice #3 – Research Strategy

Next, you’ll need to discuss your research strategy (also referred to as a research design ). This methodological choice refers to the broader strategy in terms of how you’ll conduct your research, based on the aims of your study.

Several research strategies exist, including experimental , case studies , ethnography , grounded theory, action research , and phenomenology . Let’s take a look at two of these, experimental and ethnographic, to see how they contrast.

Experimental research makes use of the scientific method , where one group is the control group (in which no variables are manipulated ) and another is the experimental group (in which a specific variable is manipulated). This type of research is undertaken under strict conditions in a controlled, artificial environment (e.g., a laboratory). By having firm control over the environment, experimental research typically allows the researcher to establish causation between variables. Therefore, it can be a good choice if you have research aims that involve identifying causal relationships.

Ethnographic research , on the other hand, involves observing and capturing the experiences and perceptions of participants in their natural environment (for example, at home or in the office). In other words, in an uncontrolled environment.  Naturally, this means that this research strategy would be far less suitable if your research aims involve identifying causation, but it would be very valuable if you’re looking to explore and examine a group culture, for example.

As you can see, the right research strategy will depend largely on your research aims and research questions – in other words, what you’re trying to figure out. Therefore, as with every other methodological choice, it’s essential to justify why you chose the research strategy you did.

Methodological Choice #4 – Time Horizon

The next thing you’ll need to detail in your methodology chapter is the time horizon. There are two options here: cross-sectional and longitudinal . In other words, whether the data for your study were all collected at one point in time (cross-sectional) or at multiple points in time (longitudinal).

The choice you make here depends again on your research aims, objectives and research questions. If, for example, you aim to assess how a specific group of people’s perspectives regarding a topic change over time , you’d likely adopt a longitudinal time horizon.

Another important factor to consider is simply whether you have the time necessary to adopt a longitudinal approach (which could involve collecting data over multiple months or even years). Oftentimes, the time pressures of your degree program will force your hand into adopting a cross-sectional time horizon, so keep this in mind.

Methodological Choice #5 – Sampling Strategy

Next, you’ll need to discuss your sampling strategy . There are two main categories of sampling, probability and non-probability sampling.

Probability sampling involves a random (and therefore representative) selection of participants from a population, whereas non-probability sampling entails selecting participants in a non-random  (and therefore non-representative) manner. For example, selecting participants based on ease of access (this is called a convenience sample).

The right sampling approach depends largely on what you’re trying to achieve in your study. Specifically, whether you trying to develop findings that are generalisable to a population or not. Practicalities and resource constraints also play a large role here, as it can oftentimes be challenging to gain access to a truly random sample. In the video below, we explore some of the most common sampling strategies.

Methodological Choice #6 – Data Collection Method

Next up, you’ll need to explain how you’ll go about collecting the necessary data for your study. Your data collection method (or methods) will depend on the type of data that you plan to collect – in other words, qualitative or quantitative data.

Typically, quantitative research relies on surveys , data generated by lab equipment, analytics software or existing datasets. Qualitative research, on the other hand, often makes use of collection methods such as interviews , focus groups , participant observations, and ethnography.

So, as you can see, there is a tight link between this section and the design choices you outlined in earlier sections. Strong alignment between these sections, as well as your research aims and questions is therefore very important.

Methodological Choice #7 – Data Analysis Methods/Techniques

The final major methodological choice that you need to address is that of analysis techniques . In other words, how you’ll go about analysing your date once you’ve collected it. Here it’s important to be very specific about your analysis methods and/or techniques – don’t leave any room for interpretation. Also, as with all choices in this chapter, you need to justify each choice you make.

What exactly you discuss here will depend largely on the type of study you’re conducting (i.e., qualitative, quantitative, or mixed methods). For qualitative studies, common analysis methods include content analysis , thematic analysis and discourse analysis . In the video below, we explain each of these in plain language.

For quantitative studies, you’ll almost always make use of descriptive statistics , and in many cases, you’ll also use inferential statistical techniques (e.g., correlation and regression analysis). In the video below, we unpack some of the core concepts involved in descriptive and inferential statistics.

In this section of your methodology chapter, it’s also important to discuss how you prepared your data for analysis, and what software you used (if any). For example, quantitative data will often require some initial preparation such as removing duplicates or incomplete responses . Similarly, qualitative data will often require transcription and perhaps even translation. As always, remember to state both what you did and why you did it.

Section 3 – The Methodological Limitations

With the key methodological choices outlined and justified, the next step is to discuss the limitations of your design. No research methodology is perfect – there will always be trade-offs between the “ideal” methodology and what’s practical and viable, given your constraints. Therefore, this section of your methodology chapter is where you’ll discuss the trade-offs you had to make, and why these were justified given the context.

Methodological limitations can vary greatly from study to study, ranging from common issues such as time and budget constraints to issues of sample or selection bias . For example, you may find that you didn’t manage to draw in enough respondents to achieve the desired sample size (and therefore, statistically significant results), or your sample may be skewed heavily towards a certain demographic, thereby negatively impacting representativeness .

In this section, it’s important to be critical of the shortcomings of your study. There’s no use trying to hide them (your marker will be aware of them regardless). By being critical, you’ll demonstrate to your marker that you have a strong understanding of research theory, so don’t be shy here. At the same time, don’t beat your study to death . State the limitations, why these were justified, how you mitigated their impacts to the best degree possible, and how your study still provides value despite these limitations .

Section 4 – Concluding Summary

Finally, it’s time to wrap up the methodology chapter with a brief concluding summary. In this section, you’ll want to concisely summarise what you’ve presented in the chapter. Here, it can be a good idea to use a figure to summarise the key decisions, especially if your university recommends using a specific model (for example, Saunders’ Research Onion ).

Importantly, this section needs to be brief – a paragraph or two maximum (it’s a summary, after all). Also, make sure that when you write up your concluding summary, you include only what you’ve already discussed in your chapter; don’t add any new information.

Methodology Chapter Example

In the video below, we walk you through an example of a high-quality research methodology chapter from a dissertation. We also unpack our free methodology chapter template so that you can see how best to structure your chapter.

Wrapping Up

And there you have it – the methodology chapter in a nutshell. As we’ve mentioned, the exact contents and structure of this chapter can vary between universities , so be sure to check in with your institution before you start writing. If possible, try to find dissertations or theses from former students of your specific degree program – this will give you a strong indication of the expectations and norms when it comes to the methodology chapter (and all the other chapters!).

Also, remember the golden rule of the methodology chapter – justify every choice ! Make sure that you clearly explain the “why” for every “what”, and reference credible methodology textbooks or academic sources to back up your justifications.

If you need a helping hand with your research methodology (or any other component of your research), be sure to check out our private coaching service , where we hold your hand through every step of the research journey. Until next time, good luck!

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This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

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• Knowledge Base
• Dissertation
• What Is a Research Methodology? | Steps & Tips

What Is a Research Methodology? | Steps & Tips

Published on August 25, 2022 by Shona McCombes and Tegan George. Revised on November 20, 2023.

Your research methodology discusses and explains the data collection and analysis methods you used in your research. A key part of your thesis, dissertation , or research paper , the methodology chapter explains what you did and how you did it, allowing readers to evaluate the reliability and validity of your research and your dissertation topic .

It should include:

• The type of research you conducted
• How you collected and analyzed your data
• Any tools or materials you used in the research
• How you mitigated or avoided research biases
• Why you chose these methods
• Your methodology section should generally be written in the past tense .
• Academic style guides in your field may provide detailed guidelines on what to include for different types of studies.
• Your citation style might provide guidelines for your methodology section (e.g., an APA Style methods section ).

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Table of contents

How to write a research methodology, why is a methods section important, step 1: explain your methodological approach, step 2: describe your data collection methods, step 3: describe your analysis method, step 4: evaluate and justify the methodological choices you made, tips for writing a strong methodology chapter, other interesting articles, frequently asked questions about methodology.

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Your methods section is your opportunity to share how you conducted your research and why you chose the methods you chose. It’s also the place to show that your research was rigorously conducted and can be replicated .

It gives your research legitimacy and situates it within your field, and also gives your readers a place to refer to if they have any questions or critiques in other sections.

You can start by introducing your overall approach to your research. You have two options here.

Option 1: Start with your “what”

What research problem or question did you investigate?

• Aim to describe the characteristics of something?
• Explore an under-researched topic?
• Establish a causal relationship?

And what type of data did you need to achieve this aim?

• Quantitative data , qualitative data , or a mix of both?
• Primary data collected yourself, or secondary data collected by someone else?
• Experimental data gathered by controlling and manipulating variables, or descriptive data gathered via observations?

Option 2: Start with your “why”

Depending on your discipline, you can also start with a discussion of the rationale and assumptions underpinning your methodology. In other words, why did you choose these methods for your study?

• Why is this the best way to answer your research question?
• Is this a standard methodology in your field, or does it require justification?
• Were there any ethical considerations involved in your choices?
• What are the criteria for validity and reliability in this type of research ? How did you prevent bias from affecting your data?

Once you have introduced your reader to your methodological approach, you should share full details about your data collection methods .

Quantitative methods

In order to be considered generalizable, you should describe quantitative research methods in enough detail for another researcher to replicate your study.

Here, explain how you operationalized your concepts and measured your variables. Discuss your sampling method or inclusion and exclusion criteria , as well as any tools, procedures, and materials you used to gather your data.

Surveys Describe where, when, and how the survey was conducted.

• How did you design the questionnaire?
• What form did your questions take (e.g., multiple choice, Likert scale )?
• Were your surveys conducted in-person or virtually?
• What sampling method did you use to select participants?
• What was your sample size and response rate?

Experiments Share full details of the tools, techniques, and procedures you used to conduct your experiment.

• How did you design the experiment ?
• How did you recruit participants?
• How did you manipulate and measure the variables ?
• What tools did you use?

Existing data Explain how you gathered and selected the material (such as datasets or archival data) that you used in your analysis.

• Where did you source the material?
• How was the data originally produced?
• What criteria did you use to select material (e.g., date range)?

The survey consisted of 5 multiple-choice questions and 10 questions measured on a 7-point Likert scale.

The goal was to collect survey responses from 350 customers visiting the fitness apparel company’s brick-and-mortar location in Boston on July 4–8, 2022, between 11:00 and 15:00.

Here, a customer was defined as a person who had purchased a product from the company on the day they took the survey. Participants were given 5 minutes to fill in the survey anonymously. In total, 408 customers responded, but not all surveys were fully completed. Due to this, 371 survey results were included in the analysis.

• Information bias
• Omitted variable bias
• Regression to the mean
• Survivorship bias
• Undercoverage bias
• Sampling bias

Qualitative methods

In qualitative research , methods are often more flexible and subjective. For this reason, it’s crucial to robustly explain the methodology choices you made.

Be sure to discuss the criteria you used to select your data, the context in which your research was conducted, and the role you played in collecting your data (e.g., were you an active participant, or a passive observer?)

Interviews or focus groups Describe where, when, and how the interviews were conducted.

• How did you find and select participants?
• How many participants took part?
• What form did the interviews take ( structured , semi-structured , or unstructured )?
• How long were the interviews?
• How were they recorded?

Participant observation Describe where, when, and how you conducted the observation or ethnography .

• What group or community did you observe? How long did you spend there?
• How did you gain access to this group? What role did you play in the community?
• How long did you spend conducting the research? Where was it located?
• How did you record your data (e.g., audiovisual recordings, note-taking)?

Existing data Explain how you selected case study materials for your analysis.

• What type of materials did you analyze?
• How did you select them?

In order to gain better insight into possibilities for future improvement of the fitness store’s product range, semi-structured interviews were conducted with 8 returning customers.

Here, a returning customer was defined as someone who usually bought products at least twice a week from the store.

Surveys were used to select participants. Interviews were conducted in a small office next to the cash register and lasted approximately 20 minutes each. Answers were recorded by note-taking, and seven interviews were also filmed with consent. One interviewee preferred not to be filmed.

• The Hawthorne effect
• Observer bias
• The placebo effect
• Response bias and Nonresponse bias
• The Pygmalion effect
• Recall bias
• Social desirability bias
• Self-selection bias

Mixed methods

Mixed methods research combines quantitative and qualitative approaches. If a standalone quantitative or qualitative study is insufficient to answer your research question, mixed methods may be a good fit for you.

Mixed methods are less common than standalone analyses, largely because they require a great deal of effort to pull off successfully. If you choose to pursue mixed methods, it’s especially important to robustly justify your methods.

Next, you should indicate how you processed and analyzed your data. Avoid going into too much detail: you should not start introducing or discussing any of your results at this stage.

In quantitative research , your analysis will be based on numbers. In your methods section, you can include:

• How you prepared the data before analyzing it (e.g., checking for missing data , removing outliers , transforming variables)
• Which software you used (e.g., SPSS, Stata or R)
• Which statistical tests you used (e.g., two-tailed t test , simple linear regression )

In qualitative research, your analysis will be based on language, images, and observations (often involving some form of textual analysis ).

Specific methods might include:

• Content analysis : Categorizing and discussing the meaning of words, phrases and sentences
• Thematic analysis : Coding and closely examining the data to identify broad themes and patterns
• Discourse analysis : Studying communication and meaning in relation to their social context

Mixed methods combine the above two research methods, integrating both qualitative and quantitative approaches into one coherent analytical process.

Above all, your methodology section should clearly make the case for why you chose the methods you did. This is especially true if you did not take the most standard approach to your topic. In this case, discuss why other methods were not suitable for your objectives, and show how this approach contributes new knowledge or understanding.

In any case, it should be overwhelmingly clear to your reader that you set yourself up for success in terms of your methodology’s design. Show how your methods should lead to results that are valid and reliable, while leaving the analysis of the meaning, importance, and relevance of your results for your discussion section .

• Quantitative: Lab-based experiments cannot always accurately simulate real-life situations and behaviors, but they are effective for testing causal relationships between variables .
• Qualitative: Unstructured interviews usually produce results that cannot be generalized beyond the sample group , but they provide a more in-depth understanding of participants’ perceptions, motivations, and emotions.
• Mixed methods: Despite issues systematically comparing differing types of data, a solely quantitative study would not sufficiently incorporate the lived experience of each participant, while a solely qualitative study would be insufficiently generalizable.

Remember that your aim is not just to describe your methods, but to show how and why you applied them. Again, it’s critical to demonstrate that your research was rigorously conducted and can be replicated.

1. Focus on your objectives and research questions

The methodology section should clearly show why your methods suit your objectives and convince the reader that you chose the best possible approach to answering your problem statement and research questions .

2. Cite relevant sources

Your methodology can be strengthened by referencing existing research in your field. This can help you to:

• Show that you followed established practice for your type of research
• Discuss how you decided on your approach by evaluating existing research
• Present a novel methodological approach to address a gap in the literature

3. Write for your audience

Consider how much information you need to give, and avoid getting too lengthy. If you are using methods that are standard for your discipline, you probably don’t need to give a lot of background or justification.

Regardless, your methodology should be a clear, well-structured text that makes an argument for your approach, not just a list of technical details and procedures.

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

• Normal distribution
• Measures of central tendency
• Chi square tests
• Confidence interval
• Quartiles & Quantiles

Methodology

• Cluster sampling
• Stratified sampling
• Thematic analysis
• Cohort study
• Peer review
• Ethnography

Research bias

• Implicit bias
• Cognitive bias
• Conformity bias
• Hawthorne effect
• Availability heuristic
• Attrition bias

Methodology refers to the overarching strategy and rationale of your research project . It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.

Methods are the specific tools and procedures you use to collect and analyze data (for example, experiments, surveys , and statistical tests ).

In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section .

In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.

In a scientific paper, the methodology always comes after the introduction and before the results , discussion and conclusion . The same basic structure also applies to a thesis, dissertation , or research proposal .

Depending on the length and type of document, you might also include a literature review or theoretical framework before the methodology.

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.

Reliability and validity are both about how well a method measures something:

• Reliability refers to the  consistency of a measure (whether the results can be reproduced under the same conditions).
• Validity   refers to the  accuracy of a measure (whether the results really do represent what they are supposed to measure).

If you are doing experimental research, you also have to consider the internal and external validity of your experiment.

A sample is a subset of individuals from a larger population . Sampling means selecting the group that you will actually collect data from in your research. For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

In statistics, sampling allows you to test a hypothesis about the characteristics of a population.

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• Project management |
• Project management methodologies: 12 po ...

Project management methodologies: 12 popular frameworks

Project management is an ever-evolving field that requires a number of approaches to be successful. Learning the most popular project management methodologies can help you become an industry expert. 

In order to be the best possible project manager , learn about each of these 12 frameworks to find the one that best fits your team’s needs. 

12 project management frameworks

What it is: The Agile project management methodology is one of the most common project management processes. But the reality is that Agile isn’t technically a methodology. Instead, it’s best defined as a project management principle. 

The basis of an Agile approach is:

Collaborative

Fast and effective

Iterative and data-backed

Values individuals over processes

When it comes to putting the Agile manifesto in place, teams often choose specific methodologies to use alongside Agile. These could include Scrum, Kanban, extreme programming, crystal, or even Scrumban . That's because connecting Agile methodology with a more detailed approach produces a well-rounded project management philosophy and a tangible plan for delivering great work. 

Who should use it: The Agile framework can be used for just about any team. This is because the principle behind it is rather universal. The real trick is deciding which methodology to use with it.

2. Waterfall

What it is: The waterfall model is also a very popular framework. But unlike Agile, waterfall is an actual methodology that is rather straightforward. The waterfall methodology , also known as software development life cycle (SDLC), is a linear process in which work cascades down (similar to a waterfall) and is organized in sequential order. 

To achieve this approach, each work task is connected by a dependency. This means each task must be completed before the next task can be started. Not only does this ensure that work stays on track, but it also fosters clear communication throughout the process. 

While viewed as a traditional approach by some modern organizations, this method is good for creating a predictable and thoroughly planned-out project plan . 

Who should use it: Since the waterfall project management methodology is so detailed, it’s great for working on large projects with multiple different stakeholders. This is because there are clear steps throughout the project and dependencies that help track the work needed to reach goals. 

What it is: The Scrum methodology involves short “sprints” that are used to create a project cycle. These cycles span one to two weeks at a time and are organized with teams of 10 or less. This is different from the waterfall approach where individual tasks are broken down into dependencies.

Scum is unique for a variety of reasons, one being the use of a Scrum master. Or, in other words, a project manager that leads daily Scrum meetings, demos, sprints, and sprint retrospectives after each sprint is completed. These meetings aim to connect project stakeholders and ensure tasks are completed on time. 

While Scrum is technically a project management methodology in its own right, it’s most commonly associated with an Agile framework. This is because they share similar principles, such as collaboration and valuing individuals over processes. 

Who should use it: Teams that use an Agile approach should use, or at least try, the Scrum methodology as well. Since sprints are divided into small teams, this approach can work for both small and large teams. 

What it is: The Kanban methodology represents project backlogs using visual elements, specifically boards. This approach is used by Agile teams to better visualize workflows and project progress while decreasing the likelihood of bottlenecks. It’s also usually in the form of a software tool that allows you to change and drag boards seamlessly within projects, though it’s not a requirement. 

Since this method doesn’t have a defined process like others, many teams use it differently. The main concept to keep in mind is that Kanban aims to focus on the most important project tasks, keeping the overall framework simple.

Who should use it: Kanban boards are great for teams of all sizes and specifically remote-first teams. This is because the visual capabilities of Kanban boards help team members stay on track no matter where they are. 

5. Scrumban

What it is: As you may have guessed, Scrumban is a methodology that draws inspiration from both Scrum and Kanban frameworks. Some think of this as a hybrid approach that incorporates the best of each. 

Scrumban uses a similar sprint cycle as Scrum but allows individual tasks to be pulled into the plan like Kanban. This allows the most important work to be completed and keeps project plans simple. Scrumban also uses Scrum meetings to enhance collaboration and keep goals top of mind. 

Who should use it: If you like the idea of breaking down a project into smaller tasks, but likewise want to keep it visually simple, Scrumban might be for you. It’s the perfect intersection of simplicity and clarity.  

What it is: PRINCE2 , otherwise known as PR ojects IN C ontrolled E nvironments, uses the overarching waterfall methodology to define stages within a project. It was initially created by the UK government for IT projects and still primarily suits large IT initiatives over the traditional product or market-focused projects. 

There are seven main principles of PRINCE2, which include:

Starting a project

Directing a project

Initiating a project

Controlling a project

Managing product delivery

Managing a stage boundary

Closing a project

These seven principles create a thorough project process and make for an effective enterprise project methodology altogether. It aims to define roles and back management. Not only that, but PRINCE2 can be used to streamline a ton of individual project management tasks, like controlling a stage, managing product delivery, and initiating and closing a project. 

Who should use it: Due to the particular nature of the PRINCE2 project management methodology, it’s best suited for large enterprise projects with a number of project stakeholders . Using it for small projects may create a longer and more complicated process than necessary. 

7. Six Sigma

What it is: Unlike the other PM methodologies, Six Sigma is used for quality management and is frequently described as a philosophy rather than a traditional methodology. It is often paired with either a lean methodology or Agile framework, otherwise known as lean Six Sigma and Agile Six Sigma. 

The main purpose of Six Sigma is to continuously improve processes and eliminate defects. This is achieved through continuous improvements by field experts to sustain, define, and control processes. 

To take this method one step further, you can use a Six Sigma DMAIC process, which creates a phased approach. These phases include:

Define: Create a project scope , business case , and initial stand-up meeting.

Measure: Collect data that helps inform improvement needs.

Analyze: Identify the root causes of problems. 

Improve: Solve the root causes found.

Control: Work to sustain the solutions for future projects. 

Who should use it: Six Sigma is best for large organizations, usually those with a few hundred employees or more. This is when the need to eliminate project waste starts to have a larger impact on your organization. 

8. Critical path method (CPM)

What it is: The critical path method works to identify and schedule critical tasks within a project. This includes creating task dependencies, tracking project goals and progress, prioritizing deliverables , and managing due dates—all of which are similar to a work breakdown structure .

The objective of this methodology is to properly manage successful projects at scale so that milestones and deliverables are mapped correctly. 

Who should use it: The critical path method is best for small and mid-size projects and teams. This is because large projects require many deliverables with multiple stakeholders and the CPM isn’t built to manage complex projects. 

9. Critical chain project management (CCPM)

What it is: The critical chain project management framework is closely related to the critical path methodology but is even more detailed, making it one of the most comprehensive options. 

Along with implementing a work breakdown structure like CPM, CCPM includes specific time requirements for each task. This helps take task tracking one step further, making it clear when tasks are going over their allotted time. It also uses resource leveling which aims to resolve large workloads by distributing work across available resources. 

Not only do these help both productivity and efficiency, but they also help connect the work needed to be completed with project goals. Many project management tools even have visual elements to better visualize these goals, creating an organized road map for team members. 

Who should use it: CCPM is a great method for both small and large teams, but it mostly helps solve project efficiency problems . It can also be a great way to report work in progress to leadership. 

What it is: The lean project management methodology aims to cut waste and create a simple framework for project needs. This ultimately means doing more with less in order to maximize efficiency and teamwork. 

While reducing waste originally referred to a physical product (which dates back to the method used by Henry Ford and later by Toyota and Motorola), it now refers to wasteful practices. There are three Ms that represent this:

Muda (wastefulness): Practices that consume resources but don’t add value  

Mura (unevenness): Occurs through overproduction and leaves behind waste 

Muri (overburden): Occurs when there is too much strain on resources  

As a project manager, your job is to prevent the three Ms in order to better execute projects and streamline processes. This is similar to the approach of rational unified process (RUP), which also aims to reduce waste. The difference is that RUP aims to reduce development costs instead of wasteful practices. 

Who should use it: Since lean is all about reducing waste, it’s best suited for teams struggling with efficiency issues. While this will have a greater impact on large organizations, it can be helpful for project teams of all sizes. 

11. Project management institute’s PMBOK® Guide

What it is: While the PMI’s Project Management Body of Knowledge is associated as a project management methodology, it’s more closely related to a set of best practices that take into account various development processes. 

This framework focuses on implementing the five project management phases , all of which help easily manage a project from start to finish in a structured phase approach. The five phases include:

Project initiation

Project planning

Project executing

Project performance

Project closure

While this is a good foundation to keep in mind, the PMBOK® Guide isn’t necessarily as specific as other approaches. This means you’ll need to decide which tasks to complete in each phase. 

Who should use it: The PMBOK® Guide can be used on its own for small teams on standard projects, though it’s a good idea to pair it with a more detailed methodology (like CPM) for large teams handling complex projects. 

12. Extreme programming (XP)

What it is: As the name suggests, extreme programming is used for fast-paced projects with tight deadlines. The approach works by creating short development cycles with many releases. This makes for quick turnaround times and increased productivity . 

Extreme programming has a few core values, which include simplicity, communication, feedback, respect, and courage. It also includes a specific set of XP rules which includes all phases from planning to testing. 

Who should use it: Extreme programming can be used for individual projects with tight deadlines, most commonly with small to midsize teams. Since XP is a fast-paced method, it should be used lightly in order to prevent burnout . 

Choosing the right project management methodology for your team

There is no one-size-fits-all approach when it comes to project management methodologies. Each one offers unique principles to take a development project from an initial plan to final execution. 

The main aspects to keep in mind are the size of your team and how your team prefers to work. Here are some additional tips to consider:

Your industry : Consider if you’re in an industry that changes frequently. For example, a technology company would be an industry that is ever-evolving. This will affect project consistency and should be paired with either a flexible or stagnant methodology. 

Your project focus : Consider the objectives of your projects . Do you value people over efficiency? This will help pair you with a methodology that matches a similar objective. 

The complexity of projects : Are your projects on the more complex side, or are they usually straightforward? Some methods aren’t as good as others at organizing complex tasks, such a CCPM.

The specialization of roles : Consider how niche the roles within your team are. Can multiple team members alternate the same type of work, or do you need a method that focuses on specialization?

Your organization’s size : The size of your organization and team should be weighed heavily when deciding on a methodology. Methods like Kanban are universal for team size, while options like CPM are better suited for small teams. 

Whether your team members prefer a visual process like Kanban or a more traditional project management approach like the waterfall method, there’s an option for every type of team. To take a project management methodology one step further, consider a work management tool to better track and execute development projects. 

Methods to manage your projects mindfully

With the right project management methodology in place, you’ll be able to take your projects to new levels of efficiency and implement processes that are right for your team, your organization, and yourself.

Related resources

Provider onboarding software: Simplify your hiring process

8 steps to write an effective project status report

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Timesheet templates: How to track team progress

Project Management Methodology: Definition, Types, Examples

What is a project management methodology ? How can it be defined? In simple terms, it is a must-have to avoid failure and reduce risks because it is one of the critical success factors as well as the core competency of the management team. It is the straightforward way to guide the team through the development and execution of the phases, processes and tasks throughout the project management life-cycle.

What is a Methodology? The Definition in Project Management

The term “ project management methodology ” was first defined in the early 1960s when various business organizations began to look for effective ways that could simplify the realization of business benefits and organize the work into a structured and unique entity (which was called “ project ” later on). Communication and collaboration were the key criteria for establishing productive work relationships between the teams and departments within one and the same organization.

Since that time, the term has been changed and modified many times, new definitions have been created, new elements and functions have been added. Today we consider a project management methodology as a set of broad principles and rules to manage a specific project that has a definite beginning and end. Below is the current definition of methodology .

Project Management Methodology is a strictly defined combination of logically related practices, methods and processes that determine how best to plan, develop, control and deliver a project throughout the continuous implementation process until successful completion and termination. It is a scientifically-proven, systematic and disciplined approach to project design, execution and completion.

The purpose of project methodology is to allow for controlling the entire management process through effective decision making and problem solving, while ensuring the success of specific processes, approaches, techniques, methods and technologies.

Typically, a project management methodology provides a skeleton for describing every step in depth, so that the project manager or program manager will know what to do in order to deliver and implement the work according to the schedule, budget and client specification.

Referring to the above mentioned definition, an appropriately chosen project management methodology paves the way for gaining the following achievements:

• The needs of stakeholders are defined
• A common “language” is established and understood by the team, so they know what’s expected of them
• Cost estimates are complete, accurate and credible
• Every task is done using a common methodological approach
• Most conflicts are spotted and resolved early
• Expected deliverables are produced and handed over
• Lessons are learned and solutions are quickly implemented

Methodology in Project Management Framework

Project management (the acronym “PM”) provides the framework of planning, doing and delivering projects of any kind, size, nature and type. PM framework focuses on the realization of desired change in line with a chosen methodological approach. Actually, change is the core aspect that should be managed. PM framework identifies and defines how to best manage change. And methodology serves as the “way” to systematically realize change in terms of time, cost and quality.

Managing projects means describing and performing the activities required to meet the specific objectives of making change.

For example, writing a book is a kind of project in which the objective is to write a book. This objective can be fulfilled by a series of activities, including defining the topic, collecting material, creating a draft, typing, proofreading, others. So in terms of project management, the author needs to define and then complete all the necessary activities in order to write a book (which means make change).

Here’s a simplified example of how a project methodology can be presented in the management hierarchical structure:

PM Framework precedes Methodology which in turn precedes Lifecycle Stages and determines the project management Processes, Tasks and Activities

Project Management Methodology Types

In project management there are a variety of approaches and methods that can be employed in managing different kinds of project. All the types of project methodology can be conditionally divided into traditional and modern approaches.

Traditional Approach

A traditional approach involves a series of consecutive stages in the project management process. It is a step-by-step sequence to design, develop and deliver a product or service. It entails achieving the succession in the implementation process and provides the benefits of milestone-based planning and team building. In IT and software development, this methodology type is called “ Waterfall ” – one portion of work follows after another in linear sequence.

The following stages are included the traditional project management methodology:

• Initiation (requirements specification)
• Planning and design
• Execution (construction and coding)
• Control and integration
• Validation (testing and debugging)
• Closure (installation and maintenance)

Modern Approaches

Modern methodologies do not focus on linear processes but they provide an alternative look at project management. Some of the methods are best for IT and software development, while others can be implemented in production, process improvement, product engineering, and so on. Modern PM approaches use different models of the management process.

Project Management Methodology Examples

It is the matter of a project’s type, size and nature to select the right methodology. Here are the most popular PM methodologies:

PMBOK® Guide

Although A Guide to the Project Management Body of Knowledge IS NOT a PM methodology in its “ pure state “, many people regard it as the methodological approach to planning, executing, controlling and terminating various projects. Meanwhile, the PMBOK® Guide is a broad inventory of best practices and ideas on planning and implementing projects. Please note that it is just a guide but not a project management methodology.

PRojects IN Controlled Environments 2 ( PRINCE2 ) presents a suite of process-driven methods and documentation-oriented approaches that allow driving various projects in the private sector. It was developed the UK Government, and today this great example of project management methodology is used both in the UK and internationally.

Critical path method (CPM) explores the most important or critical tasks of a project by defining possible activity sequences and estimating the longest duration of each sequence. It helps figure out how long it will take to complete the work and what tasks will compose the scope.

Lean PM methodology intends to maximize customer value and minimize resource waste. Lean project management lets organizations create higher value for their customers with fewer resources. This approach achieves perfection in customer satisfaction and value generation through implementing an optimized process flow that eliminates waste in products, services, transportation, inventories, etc.

The method of Six Sigma was originally developed by Motorola to improve its production processes by eliminating defects (defined as “non-conformity of a product or service to its specifications”). Today Six Sigma is one of the most popular and worldwide trusted examples of project management methodology for ensuring the accuracy and speed of a process’s implementation through eliminating or minimizing waste.

Critical Chain Project Management (CCPM) is the way to plan, implement and review various kinds of work in single- and multi-project environments. This management methodology uses Theory of Constraints (TOC) and the concept of buffers to establish improved task durations and manage resource-dependent tasks and activities.

SCRUM is an example of Agile PM methodology that involves teams in producing a software product in 30-day “ sprints ” and monthly “ scrum sessions “. In a SCRUM-driven project, the deliverables are broken down into 30-day intervals. This methodology example is specific and applicable mainly to collaborative, 100%-dedicated teams, with no heavily constrained time and materials budget.

Project Management for Students

Project management for students is a vital part of the education and training process. Students can easily get a project management degree, but it does not mean that it comes as easy as taking the homework. Students need to take into account some important aspects if they want to manage a project properly.

For instance, choosing the best admission essay writing service is of great importance because if for some reason the student cannot deliver a high-quality essay in time, he will most likely fail the course or even worse he will be expelled from the college or university.

Students should prepare well for the project or the essay. They need to research on the topic beforehand, keep track of what is going on, write on time and work within the deadline.

This will allow them to catch up with their fellow students, focusing only on what they have to do and not worrying about what other people are doing.

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• USC Libraries
• Research Guides

Organizing Your Social Sciences Research Paper

• 6. The Methodology
• Purpose of Guide
• Design Flaws to Avoid
• Independent and Dependent Variables
• Glossary of Research Terms
• Reading Research Effectively
• Narrowing a Topic Idea
• Broadening a Topic Idea
• Extending the Timeliness of a Topic Idea
• Academic Writing Style
• Applying Critical Thinking
• Choosing a Title
• Making an Outline
• Paragraph Development
• Research Process Video Series
• Executive Summary
• The C.A.R.S. Model
• Background Information
• The Research Problem/Question
• Theoretical Framework
• Citation Tracking
• Content Alert Services
• Evaluating Sources
• Primary Sources
• Secondary Sources
• Tiertiary Sources
• Scholarly vs. Popular Publications
• Qualitative Methods
• Quantitative Methods
• Insiderness
• Using Non-Textual Elements
• Limitations of the Study
• Common Grammar Mistakes
• Writing Concisely
• Avoiding Plagiarism
• Footnotes or Endnotes?
• Further Readings
• Generative AI and Writing
• USC Libraries Tutorials and Other Guides
• Bibliography

The methods section describes actions taken to investigate a research problem and the rationale for the application of specific procedures or techniques used to identify, select, process, and analyze information applied to understanding the problem, thereby, allowing the reader to critically evaluate a study’s overall validity and reliability. The methodology section of a research paper answers two main questions: How was the data collected or generated? And, how was it analyzed? The writing should be direct and precise and always written in the past tense.

Kallet, Richard H. "How to Write the Methods Section of a Research Paper." Respiratory Care 49 (October 2004): 1229-1232.

Importance of a Good Methodology Section

You must explain how you obtained and analyzed your results for the following reasons:

• Readers need to know how the data was obtained because the method you chose affects the results and, by extension, how you interpreted their significance in the discussion section of your paper.
• Methodology is crucial for any branch of scholarship because an unreliable method produces unreliable results and, as a consequence, undermines the value of your analysis of the findings.
• In most cases, there are a variety of different methods you can choose to investigate a research problem. The methodology section of your paper should clearly articulate the reasons why you have chosen a particular procedure or technique.
• The reader wants to know that the data was collected or generated in a way that is consistent with accepted practice in the field of study. For example, if you are using a multiple choice questionnaire, readers need to know that it offered your respondents a reasonable range of answers to choose from.
• The method must be appropriate to fulfilling the overall aims of the study. For example, you need to ensure that you have a large enough sample size to be able to generalize and make recommendations based upon the findings.
• The methodology should discuss the problems that were anticipated and the steps you took to prevent them from occurring. For any problems that do arise, you must describe the ways in which they were minimized or why these problems do not impact in any meaningful way your interpretation of the findings.
• In the social and behavioral sciences, it is important to always provide sufficient information to allow other researchers to adopt or replicate your methodology. This information is particularly important when a new method has been developed or an innovative use of an existing method is utilized.

Bem, Daryl J. Writing the Empirical Journal Article. Psychology Writing Center. University of Washington; Denscombe, Martyn. The Good Research Guide: For Small-Scale Social Research Projects . 5th edition. Buckingham, UK: Open University Press, 2014; Lunenburg, Frederick C. Writing a Successful Thesis or Dissertation: Tips and Strategies for Students in the Social and Behavioral Sciences . Thousand Oaks, CA: Corwin Press, 2008.

Structure and Writing Style

I.  Groups of Research Methods

There are two main groups of research methods in the social sciences:

• The e mpirical-analytical group approaches the study of social sciences in a similar manner that researchers study the natural sciences . This type of research focuses on objective knowledge, research questions that can be answered yes or no, and operational definitions of variables to be measured. The empirical-analytical group employs deductive reasoning that uses existing theory as a foundation for formulating hypotheses that need to be tested. This approach is focused on explanation.
• The i nterpretative group of methods is focused on understanding phenomenon in a comprehensive, holistic way . Interpretive methods focus on analytically disclosing the meaning-making practices of human subjects [the why, how, or by what means people do what they do], while showing how those practices arrange so that it can be used to generate observable outcomes. Interpretive methods allow you to recognize your connection to the phenomena under investigation. However, the interpretative group requires careful examination of variables because it focuses more on subjective knowledge.

II.  Content

The introduction to your methodology section should begin by restating the research problem and underlying assumptions underpinning your study. This is followed by situating the methods you used to gather, analyze, and process information within the overall “tradition” of your field of study and within the particular research design you have chosen to study the problem. If the method you choose lies outside of the tradition of your field [i.e., your review of the literature demonstrates that the method is not commonly used], provide a justification for how your choice of methods specifically addresses the research problem in ways that have not been utilized in prior studies.

The remainder of your methodology section should describe the following:

• Decisions made in selecting the data you have analyzed or, in the case of qualitative research, the subjects and research setting you have examined,
• Tools and methods used to identify and collect information, and how you identified relevant variables,
• The ways in which you processed the data and the procedures you used to analyze that data, and
• The specific research tools or strategies that you utilized to study the underlying hypothesis and research questions.

In addition, an effectively written methodology section should:

• Introduce the overall methodological approach for investigating your research problem . Is your study qualitative or quantitative or a combination of both (mixed method)? Are you going to take a special approach, such as action research, or a more neutral stance?
• Indicate how the approach fits the overall research design . Your methods for gathering data should have a clear connection to your research problem. In other words, make sure that your methods will actually address the problem. One of the most common deficiencies found in research papers is that the proposed methodology is not suitable to achieving the stated objective of your paper.
• Describe the specific methods of data collection you are going to use , such as, surveys, interviews, questionnaires, observation, archival research. If you are analyzing existing data, such as a data set or archival documents, describe how it was originally created or gathered and by whom. Also be sure to explain how older data is still relevant to investigating the current research problem.
• Explain how you intend to analyze your results . Will you use statistical analysis? Will you use specific theoretical perspectives to help you analyze a text or explain observed behaviors? Describe how you plan to obtain an accurate assessment of relationships, patterns, trends, distributions, and possible contradictions found in the data.
• Provide background and a rationale for methodologies that are unfamiliar for your readers . Very often in the social sciences, research problems and the methods for investigating them require more explanation/rationale than widely accepted rules governing the natural and physical sciences. Be clear and concise in your explanation.
• Provide a justification for subject selection and sampling procedure . For instance, if you propose to conduct interviews, how do you intend to select the sample population? If you are analyzing texts, which texts have you chosen, and why? If you are using statistics, why is this set of data being used? If other data sources exist, explain why the data you chose is most appropriate to addressing the research problem.
• Provide a justification for case study selection . A common method of analyzing research problems in the social sciences is to analyze specific cases. These can be a person, place, event, phenomenon, or other type of subject of analysis that are either examined as a singular topic of in-depth investigation or multiple topics of investigation studied for the purpose of comparing or contrasting findings. In either method, you should explain why a case or cases were chosen and how they specifically relate to the research problem.
• Describe potential limitations . Are there any practical limitations that could affect your data collection? How will you attempt to control for potential confounding variables and errors? If your methodology may lead to problems you can anticipate, state this openly and show why pursuing this methodology outweighs the risk of these problems cropping up.

NOTE:   Once you have written all of the elements of the methods section, subsequent revisions should focus on how to present those elements as clearly and as logically as possibly. The description of how you prepared to study the research problem, how you gathered the data, and the protocol for analyzing the data should be organized chronologically. For clarity, when a large amount of detail must be presented, information should be presented in sub-sections according to topic. If necessary, consider using appendices for raw data.

ANOTHER NOTE: If you are conducting a qualitative analysis of a research problem , the methodology section generally requires a more elaborate description of the methods used as well as an explanation of the processes applied to gathering and analyzing of data than is generally required for studies using quantitative methods. Because you are the primary instrument for generating the data [e.g., through interviews or observations], the process for collecting that data has a significantly greater impact on producing the findings. Therefore, qualitative research requires a more detailed description of the methods used.

YET ANOTHER NOTE:   If your study involves interviews, observations, or other qualitative techniques involving human subjects , you may be required to obtain approval from the university's Office for the Protection of Research Subjects before beginning your research. This is not a common procedure for most undergraduate level student research assignments. However, i f your professor states you need approval, you must include a statement in your methods section that you received official endorsement and adequate informed consent from the office and that there was a clear assessment and minimization of risks to participants and to the university. This statement informs the reader that your study was conducted in an ethical and responsible manner. In some cases, the approval notice is included as an appendix to your paper.

III.  Problems to Avoid

Irrelevant Detail The methodology section of your paper should be thorough but concise. Do not provide any background information that does not directly help the reader understand why a particular method was chosen, how the data was gathered or obtained, and how the data was analyzed in relation to the research problem [note: analyzed, not interpreted! Save how you interpreted the findings for the discussion section]. With this in mind, the page length of your methods section will generally be less than any other section of your paper except the conclusion.

Unnecessary Explanation of Basic Procedures Remember that you are not writing a how-to guide about a particular method. You should make the assumption that readers possess a basic understanding of how to investigate the research problem on their own and, therefore, you do not have to go into great detail about specific methodological procedures. The focus should be on how you applied a method , not on the mechanics of doing a method. An exception to this rule is if you select an unconventional methodological approach; if this is the case, be sure to explain why this approach was chosen and how it enhances the overall process of discovery.

Problem Blindness It is almost a given that you will encounter problems when collecting or generating your data, or, gaps will exist in existing data or archival materials. Do not ignore these problems or pretend they did not occur. Often, documenting how you overcame obstacles can form an interesting part of the methodology. It demonstrates to the reader that you can provide a cogent rationale for the decisions you made to minimize the impact of any problems that arose.

Literature Review Just as the literature review section of your paper provides an overview of sources you have examined while researching a particular topic, the methodology section should cite any sources that informed your choice and application of a particular method [i.e., the choice of a survey should include any citations to the works you used to help construct the survey].

It’s More than Sources of Information! A description of a research study's method should not be confused with a description of the sources of information. Such a list of sources is useful in and of itself, especially if it is accompanied by an explanation about the selection and use of the sources. The description of the project's methodology complements a list of sources in that it sets forth the organization and interpretation of information emanating from those sources.

Azevedo, L.F. et al. "How to Write a Scientific Paper: Writing the Methods Section." Revista Portuguesa de Pneumologia 17 (2011): 232-238; Blair Lorrie. “Choosing a Methodology.” In Writing a Graduate Thesis or Dissertation , Teaching Writing Series. (Rotterdam: Sense Publishers 2016), pp. 49-72; Butin, Dan W. The Education Dissertation A Guide for Practitioner Scholars . Thousand Oaks, CA: Corwin, 2010; Carter, Susan. Structuring Your Research Thesis . New York: Palgrave Macmillan, 2012; Kallet, Richard H. “How to Write the Methods Section of a Research Paper.” Respiratory Care 49 (October 2004):1229-1232; Lunenburg, Frederick C. Writing a Successful Thesis or Dissertation: Tips and Strategies for Students in the Social and Behavioral Sciences . Thousand Oaks, CA: Corwin Press, 2008. Methods Section. The Writer’s Handbook. Writing Center. University of Wisconsin, Madison; Rudestam, Kjell Erik and Rae R. Newton. “The Method Chapter: Describing Your Research Plan.” In Surviving Your Dissertation: A Comprehensive Guide to Content and Process . (Thousand Oaks, Sage Publications, 2015), pp. 87-115; What is Interpretive Research. Institute of Public and International Affairs, University of Utah; Writing the Experimental Report: Methods, Results, and Discussion. The Writing Lab and The OWL. Purdue University; Methods and Materials. The Structure, Format, Content, and Style of a Journal-Style Scientific Paper. Department of Biology. Bates College.

Writing Tip

Statistical Designs and Tests? Do Not Fear Them!

Don't avoid using a quantitative approach to analyzing your research problem just because you fear the idea of applying statistical designs and tests. A qualitative approach, such as conducting interviews or content analysis of archival texts, can yield exciting new insights about a research problem, but it should not be undertaken simply because you have a disdain for running a simple regression. A well designed quantitative research study can often be accomplished in very clear and direct ways, whereas, a similar study of a qualitative nature usually requires considerable time to analyze large volumes of data and a tremendous burden to create new paths for analysis where previously no path associated with your research problem had existed.

To locate data and statistics, GO HERE .

Another Writing Tip

Knowing the Relationship Between Theories and Methods

There can be multiple meaning associated with the term "theories" and the term "methods" in social sciences research. A helpful way to delineate between them is to understand "theories" as representing different ways of characterizing the social world when you research it and "methods" as representing different ways of generating and analyzing data about that social world. Framed in this way, all empirical social sciences research involves theories and methods, whether they are stated explicitly or not. However, while theories and methods are often related, it is important that, as a researcher, you deliberately separate them in order to avoid your theories playing a disproportionate role in shaping what outcomes your chosen methods produce.

Introspectively engage in an ongoing dialectic between the application of theories and methods to help enable you to use the outcomes from your methods to interrogate and develop new theories, or ways of framing conceptually the research problem. This is how scholarship grows and branches out into new intellectual territory.

Reynolds, R. Larry. Ways of Knowing. Alternative Microeconomics . Part 1, Chapter 3. Boise State University; The Theory-Method Relationship. S-Cool Revision. United Kingdom.

Yet Another Writing Tip

Methods and the Methodology

Do not confuse the terms "methods" and "methodology." As Schneider notes, a method refers to the technical steps taken to do research . Descriptions of methods usually include defining and stating why you have chosen specific techniques to investigate a research problem, followed by an outline of the procedures you used to systematically select, gather, and process the data [remember to always save the interpretation of data for the discussion section of your paper].

The methodology refers to a discussion of the underlying reasoning why particular methods were used . This discussion includes describing the theoretical concepts that inform the choice of methods to be applied, placing the choice of methods within the more general nature of academic work, and reviewing its relevance to examining the research problem. The methodology section also includes a thorough review of the methods other scholars have used to study the topic.

Bryman, Alan. "Of Methods and Methodology." Qualitative Research in Organizations and Management: An International Journal 3 (2008): 159-168; Schneider, Florian. “What's in a Methodology: The Difference between Method, Methodology, and Theory…and How to Get the Balance Right?” PoliticsEastAsia.com. Chinese Department, University of Leiden, Netherlands.

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Here's What You Need to Understand About Research Methodology

Table of Contents

Research methodology involves a systematic and well-structured approach to conducting scholarly or scientific inquiries. Knowing the significance of research methodology and its different components is crucial as it serves as the basis for any study.

Typically, your research topic will start as a broad idea you want to investigate more thoroughly. Once you’ve identified a research problem and created research questions , you must choose the appropriate methodology and frameworks to address those questions effectively.

What is the definition of a research methodology?

Research methodology is the process or the way you intend to execute your study. The methodology section of a research paper outlines how you plan to conduct your study. It covers various steps such as collecting data, statistical analysis, observing participants, and other procedures involved in the research process

The methods section should give a description of the process that will convert your idea into a study. Additionally, the outcomes of your process must provide valid and reliable results resonant with the aims and objectives of your research. This thumb rule holds complete validity, no matter whether your paper has inclinations for qualitative or quantitative usage.

Studying research methods used in related studies can provide helpful insights and direction for your own research. Now easily discover papers related to your topic on SciSpace and utilize our AI research assistant, Copilot , to quickly review the methodologies applied in different papers.

The need for a good research methodology

While deciding on your approach towards your research, the reason or factors you weighed in choosing a particular problem and formulating a research topic need to be validated and explained. A research methodology helps you do exactly that. Moreover, a good research methodology lets you build your argument to validate your research work performed through various data collection methods, analytical methods, and other essential points.

Just imagine it as a strategy documented to provide an overview of what you intend to do.

While undertaking any research writing or performing the research itself, you may get drifted in not something of much importance. In such a case, a research methodology helps you to get back to your outlined work methodology.

A research methodology helps in keeping you accountable for your work. Additionally, it can help you evaluate whether your work is in sync with your original aims and objectives or not. Besides, a good research methodology enables you to navigate your research process smoothly and swiftly while providing effective planning to achieve your desired results.

What is the basic structure of a research methodology?

Usually, you must ensure to include the following stated aspects while deciding over the basic structure of your research methodology:

1. Your research procedure

Explain what research methods you’re going to use. Whether you intend to proceed with quantitative or qualitative, or a composite of both approaches, you need to state that explicitly. The option among the three depends on your research’s aim, objectives, and scope.

2. Provide the rationality behind your chosen approach

Based on logic and reason, let your readers know why you have chosen said research methodologies. Additionally, you have to build strong arguments supporting why your chosen research method is the best way to achieve the desired outcome.

3. Explain your mechanism

The mechanism encompasses the research methods or instruments you will use to develop your research methodology. It usually refers to your data collection methods. You can use interviews, surveys, physical questionnaires, etc., of the many available mechanisms as research methodology instruments. The data collection method is determined by the type of research and whether the data is quantitative data(includes numerical data) or qualitative data (perception, morale, etc.) Moreover, you need to put logical reasoning behind choosing a particular instrument.

4. Significance of outcomes

The results will be available once you have finished experimenting. However, you should also explain how you plan to use the data to interpret the findings. This section also aids in understanding the problem from within, breaking it down into pieces, and viewing the research problem from various perspectives.

5. Reader’s advice

Anything that you feel must be explained to spread more awareness among readers and focus groups must be included and described in detail. You should not just specify your research methodology on the assumption that a reader is aware of the topic.  

All the relevant information that explains and simplifies your research paper must be included in the methodology section. If you are conducting your research in a non-traditional manner, give a logical justification and list its benefits.

6. Explain your sample space

Include information about the sample and sample space in the methodology section. The term "sample" refers to a smaller set of data that a researcher selects or chooses from a larger group of people or focus groups using a predetermined selection method. Let your readers know how you are going to distinguish between relevant and non-relevant samples. How you figured out those exact numbers to back your research methodology, i.e. the sample spacing of instruments, must be discussed thoroughly.

For example, if you are going to conduct a survey or interview, then by what procedure will you select the interviewees (or sample size in case of surveys), and how exactly will the interview or survey be conducted.

7. Challenges and limitations

This part, which is frequently assumed to be unnecessary, is actually very important. The challenges and limitations that your chosen strategy inherently possesses must be specified while you are conducting different types of research.

The importance of a good research methodology

You must have observed that all research papers, dissertations, or theses carry a chapter entirely dedicated to research methodology. This section helps maintain your credibility as a better interpreter of results rather than a manipulator.

A good research methodology always explains the procedure, data collection methods and techniques, aim, and scope of the research. In a research study, it leads to a well-organized, rationality-based approach, while the paper lacking it is often observed as messy or disorganized.

You should pay special attention to validating your chosen way towards the research methodology. This becomes extremely important in case you select an unconventional or a distinct method of execution.

Curating and developing a strong, effective research methodology can assist you in addressing a variety of situations, such as:

• When someone tries to duplicate or expand upon your research after few years.
• If a contradiction or conflict of facts occurs at a later time. This gives you the security you need to deal with these contradictions while still being able to defend your approach.
• Gaining a tactical approach in getting your research completed in time. Just ensure you are using the right approach while drafting your research methodology, and it can help you achieve your desired outcomes. Additionally, it provides a better explanation and understanding of the research question itself.
• Documenting the results so that the final outcome of the research stays as you intended it to be while starting.

Instruments you could use while writing a good research methodology

As a researcher, you must choose which tools or data collection methods that fit best in terms of the relevance of your research. This decision has to be wise.

There exists many research equipments or tools that you can use to carry out your research process. These are classified as:

a. Interviews (One-on-One or a Group)

An interview aimed to get your desired research outcomes can be undertaken in many different ways. For example, you can design your interview as structured, semi-structured, or unstructured. What sets them apart is the degree of formality in the questions. On the other hand, in a group interview, your aim should be to collect more opinions and group perceptions from the focus groups on a certain topic rather than looking out for some formal answers.

In surveys, you are in better control if you specifically draft the questions you seek the response for. For example, you may choose to include free-style questions that can be answered descriptively, or you may provide a multiple-choice type response for questions. Besides, you can also opt to choose both ways, deciding what suits your research process and purpose better.

c. Sample Groups

Similar to the group interviews, here, you can select a group of individuals and assign them a topic to discuss or freely express their opinions over that. You can simultaneously note down the answers and later draft them appropriately, deciding on the relevance of every response.

d. Observations

If your research domain is humanities or sociology, observations are the best-proven method to draw your research methodology. Of course, you can always include studying the spontaneous response of the participants towards a situation or conducting the same but in a more structured manner. A structured observation means putting the participants in a situation at a previously decided time and then studying their responses.

Of all the tools described above, it is you who should wisely choose the instruments and decide what’s the best fit for your research. You must not restrict yourself from multiple methods or a combination of a few instruments if appropriate in drafting a good research methodology.

Types of research methodology

A research methodology exists in various forms. Depending upon their approach, whether centered around words, numbers, or both, methodologies are distinguished as qualitative, quantitative, or an amalgamation of both.

1. Qualitative research methodology

When a research methodology primarily focuses on words and textual data, then it is generally referred to as qualitative research methodology. This type is usually preferred among researchers when the aim and scope of the research are mainly theoretical and explanatory.

The instruments used are observations, interviews, and sample groups. You can use this methodology if you are trying to study human behavior or response in some situations. Generally, qualitative research methodology is widely used in sociology, psychology, and other related domains.

2. Quantitative research methodology

If your research is majorly centered on data, figures, and stats, then analyzing these numerical data is often referred to as quantitative research methodology. You can use quantitative research methodology if your research requires you to validate or justify the obtained results.

In quantitative methods, surveys, tests, experiments, and evaluations of current databases can be advantageously used as instruments If your research involves testing some hypothesis, then use this methodology.

3. Amalgam methodology

As the name suggests, the amalgam methodology uses both quantitative and qualitative approaches. This methodology is used when a part of the research requires you to verify the facts and figures, whereas the other part demands you to discover the theoretical and explanatory nature of the research question.

The instruments for the amalgam methodology require you to conduct interviews and surveys, including tests and experiments. The outcome of this methodology can be insightful and valuable as it provides precise test results in line with theoretical explanations and reasoning.

The amalgam method, makes your work both factual and rational at the same time.

Final words: How to decide which is the best research methodology?

If you have kept your sincerity and awareness intact with the aims and scope of research well enough, you must have got an idea of which research methodology suits your work best.

Before deciding which research methodology answers your research question, you must invest significant time in reading and doing your homework for that. Taking references that yield relevant results should be your first approach to establishing a research methodology.

Moreover, you should never refrain from exploring other options. Before setting your work in stone, you must try all the available options as it explains why the choice of research methodology that you finally make is more appropriate than the other available options.

You should always go for a quantitative research methodology if your research requires gathering large amounts of data, figures, and statistics. This research methodology will provide you with results if your research paper involves the validation of some hypothesis.

Whereas, if  you are looking for more explanations, reasons, opinions, and public perceptions around a theory, you must use qualitative research methodology.The choice of an appropriate research methodology ultimately depends on what you want to achieve through your research.

Frequently Asked Questions (FAQs) about Research Methodology

1. how to write a research methodology.

You can always provide a separate section for research methodology where you should specify details about the methods and instruments used during the research, discussions on result analysis, including insights into the background information, and conveying the research limitations.

2. What are the types of research methodology?

There generally exists four types of research methodology i.e.

• Observation
• Experimental
• Derivational

3. What is the true meaning of research methodology?

The set of techniques or procedures followed to discover and analyze the information gathered to validate or justify a research outcome is generally called Research Methodology.

4. Where lies the importance of research methodology?

Your research methodology directly reflects the validity of your research outcomes and how well-informed your research work is. Moreover, it can help future researchers cite or refer to your research if they plan to use a similar research methodology.

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Project Management Methodologies and Frameworks Every Project Manager Should Know

You might find yourself drowning in information, tools, and processes as a project manager. To stay afloat and thrive, you must choose the right project management methodologies and frameworks that suit your team and project needs.

Many different project management methodologies are available and deciding which one is right for you can be challenging. This article provides an overview of the most popular frameworks to get you started.

What is a Project Management Methodology?

A project management methodology is a set of principles, processes, guidelines, and tools that help to plan, manage, and control a project. The methodology helps to ensure that a project is on schedule, within budget, and that the project goals are met.

A project team or an organization uses a management framework to execute a project. The information generated is usually documented and shared with others. Recording the information is essential as it will help others understand the project requirements and responsibilities.

While most project management methodologies take a standardized approach, some are for specific purposes, i.e., manufacturing or software development.

Project Management Framework vs. Methodology

The terms framework and methodology are often used interchangeably in project management. However, there is a slight yet distinguishable difference between the two approaches.

A framework provides more flexibility and freedom. You can adopt new rules and change or remove existing ones as necessary. As such, a framework provides the structure and direction needed for a project without being too rigid or detailed.

On the other hand, a methodology is a set of principles and processes that guides the management of a project. It is a formal approach that is strictly defined and generally adheres to a strict code complete with steps and rules.

Another way to understand the two approaches is that most of the time, methodologies are for implementing ideas and values, while a framework provides a step-by-step guide to attain that idea or manage that project.

Project Life Cycle Processes

A project management framework includes the whole project management life cycle, which will guide you from the beginning to the end. In a project management life cycle , there are five steps:

• Initiation : The beginning stage of the project, where the main focus is to narrow down the required key components to kickstart the project. Teams get together to research, brainstorm and conduct analysis and stakeholder mapping/interviews to gather information.
• Planning : Here, the teams and members working on the project are identified along with activities, milestones, risks, management structure, and success benchmarks.
• Execution : During this stage, the project kickstarts and is implemented.
• Management/Monitoring : At each milestone, the progress will be monitored, documented, and reported. Key progress and outputs will be shared with stakeholders as well.
• Review/Closing : This stage marks the end of the project. Project leaders and team members will review and analyze how the project progressed and setbacks to identify future improvements. Updates or replacements will be scheduled if necessary before wrapping up.

5 Key Project Management Methodologies and Frameworks

1. waterfall framework.

The Waterfall Framework is a linear approach that first gathers stakeholder and customer requirements before creating a sequential project plan to address the identified requirements. Consisting of five main stages, each stage is completed before progressing to the next–similar to a cascading waterfall.

The main stages of the waterfall framework are:

• Requirements : needs and requirements of the business/project are identified, analyzed, and documented.
• Design : possible solutions are explored before a detailed plan is made to achieve the goals.
• Implementation : the project plan and activities are set in motion along with progress measurements.
• Verification/Control : the product is reviewed, and the project plan is compared with the performance to address issues.
• Maintenance/Closure : the end result is shared with clients for feedback and final fixes. Approval is obtained before the project is closed.
• As project and client requirements are identified and agreed in the very first stage, it sets clear client expectations that are easier to plan.
• Extensive documentation ensures that each activity and task is well documented and that no knowledge is lost.
• The project schedule is laid out at the beginning stages. As such, project costs, deadlines, and other resources can be estimated accurately.
• Easier to measure and understand as you progress through each milestone one after the other.

Disadvantages

• Identifying all client/customer requirements at the very beginning is difficult.
• Changes to the product at the end stages are costly and difficult if the customer is unsatisfied.
• Lack of flexibility due to the linear nature of the framework, which provides minimal room for change and adaptation in case of unexpected events.

2. Lean Methodology

Lean methodology originated in the 1950s in Toyota and currently focuses on eliminating waste, maximizing value, and improving efficiencies. Many organizations have opted to adopt the Lean Framework as it can be applied to any business, regardless of size, to achieve objectives in a sustainable manner.

The two main guiding concepts in Lean are respect for people and continuous improvement. Accordingly, necessary training and tools are provided, constant improvement is encouraged, and management takes on a more active role in understanding and meeting the needs of employees to initiate better work performance.

Besides the above two concepts, lean has five core principles that support the methodology:

• Value : customer defines the value of the product offered.
• Value stream : a clear and in-depth understanding of the product’s life cycle from research to development. Each step of the value chain is analyzed to identify waste areas and improvements.
• Flow : every process should be in sync with one another, and the value stream should flow seamlessly.
• Pull : ensures that products are made only when required, leading to shorter delivery cycles and increased flexibility.
• Perfection : always strive for perfection by uncovering quality or waste issues and applying strict measures to address inefficiencies.
• The quality of products is high due to the constant attention to value.
• Reduced costs and increased profits as Lean focuses on providing value and minimizing waste.
• Improved customer relations as the focus is to deliver what the customer requires.
• Regular communications among employees, stakeholders and management pave the way for better decision-making.
• Emphasis on constant improvement leads to continuous learning opportunities.
• Organizations may focus too much on Lean principles that they lose sight of the bigger picture leading to a lack of strategy.
• If there are bottlenecks or resource issues, delivery can be delayed leading to unsatisfied customers.

3. Agile Methodology

Agile is often used in the software industry, though it has spilled into others recently due to its adaptability. It is an iterative approach that promotes collaboration among team members, emphasizing adaptive planning and early delivery of functional products. In an Agile project, development work is carried out in short-term periods called sprints, and the management focuses on continuous improvement throughout the project’s life cycle.

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Popular frameowkrs such as Scrum and Kanban stem from Agile, which acts as an umbrella term that encompasses several different frameworks. To learn more about Scrum and Kanban, check out The Ultimate Beginner’s Guide to Scrum and How to Better Manage Your Projects with Kanban Boards .

The Agile Manifesto highlights four core principles that are the building blocks of any agile approach. They are:

• Individuals and interactions over processes and tools
• Working software over comprehensive documentation
• Customer collaboration over contract negotiation
• Responding to change over following a plan
• Agile promotes smaller teams, making it easier to keep up the pace and quickly adapt to necessary changes, leading to faster response times and ample flexibility.
• Faster turnaround times due to the ability to quickly detect and provide solutions to issues.
• Low wastage and costs as tasks are always up-to-date with constant feedback and follow-ups, allowing developers to experiment and test ideas.
• Agile is practiced by many and has a considerable following. Therefore, you can always reach out for help and share knowledge with others if you run into trouble.
• Difficult to measure the progress as it is estimated across several cycles, which may take time.
• Documentation is not given prominence, leading to misunderstandings and difficulty for newer members to be up-to-date.
• At times, there is no clear end date; therefore, the overall project may seem to go on forever. This can also lead to scope changes beyond what was initially agreed (scope creep).
• Due to the short cycle times, the design thinking process may be stinted, leading to a lack of cohesion and fragmentation.
• Teams may tend to avoid key features that may take too long to deliver.
• The need for constant communication can take a toll on team members who have to spend extra energy and time.

4. Critical Chain Project Management Framework

Critical Chain Project Management (CCPM) is a project management framework that helps the planning and managing of projects by monitoring the resources required to execute the project tasks. The framework helps project managers to deliver projects in a cost-effective and timely manner.

Buffers are safety margins that ensure all tasks are completed within schedule. CCPM identifies strategic points in the project and inserts buffers to ensure that project milestones are met on time, regardless of constraints or uncertainties. There are several types of buffers used in CCPM.

• Project buffers : this is positioned between the completion date of the project and the last task allowing team members to catch up on any outstanding tasks or delays.
• Feeding buffers : this is positioned between the non-critical chain and the critical chain to prevent delays.
• Resource buffers : resources that are kept aside in case of extra support in terms of resources are required.
• Team members tend to be more efficient and pace themselves rather than working more as the deadline approaches.
• Work is scheduled around resource availability, thereby optimizing resource utilization.
• The insertion of various buffers to address issues on time.
• The minimum time required to finish the project is taken into consideration.
• Major planning packages do not often support the framework.
• If the team does not understand the endpoint, many losses and setbacks could occur.

5. PRINCE2 Framework

PRINCE stands for “Projects In Controlled Environments” and is a process-based framework focused on organization and control. The framework started as PRINCE with a particular focus on the IT industry before expanding into others.

PRINCE2 details what each step of the project should look like, deliverables, roles, and responsibilities, and also structure each stage of the project with no loose ends at the point of completion.

• PRINCE2 is a good beginner framework to start project management as it has a defined process with clear steps.
• Due to the detailed and step-by-step guide provided, PRINCE2 is relatively easy to understand and follow. Furthermore, the ability to divide the project into manageable stages is helpful in managing the project.
• PRINCE2 is flexible in nature and can be easily adapted to suit different projects.
• Roles and responsibilities are clearly defined, which improves accountability.
• Lessons learned can be tracked and updated for future reference and improvements.
• PRINCE2 is not ideal for projects in fast-changing environments (i.e., technology-driven) due to the extensive documentation required.
• Requires the buy-in of the senior management for success.
• Requires experience to be managed and delivered successfully.

Key Steps to Follow when Selecting a Methodology or Framework

1. assess the project in terms of size and scope.

Size and scope play a significant role when selecting a suitable project methodology or framework. Some projects may be small, requiring a team of no more than 3-4 people and a short period. In contrast, others would be large, with multiple teams working together for several years.

Larger projects with several cross-functional teams and extended time frames would benefit from adaptive project management frameworks such as agile. In comparison, smaller projects that are less complex would do well with methodologies such as waterfall.

2. Look into the available project management methodologies and frameworks

Once the project scope and size are determined, look into the available methodologies and frameworks. Compare notes, and weigh the pros and cons as to which one would suit your requirements the best while minimizing risks.

3. Obtaining the acceptance and buy-in of your team

Reach out to your team to see their reaction and input. Make sure you listen to their viewpoints and present your side accordingly to obtain their buy-in. Otherwise, conflicts and challenges may hinder the project’s smooth progress.

4. Confirm the selection

Before starting the project, re-confirm the feasibility of your selection by comparing and assessing the success rate of projects delivered using the same framework.

5. Obtain feedback and conduct self-assessments

As the project progresses, ask for feedback from your colleagues regarding the processes followed. Furthermore, make sure to conduct self-assessments to see if the methodology or framework is proceeding according to your expectations and whether it allows you to manage your team successfully.

Tools and Techniques for Project Management Methodologies and Frameworks

There are several tools and techniques relevant to project management methodologies and frameworks. While some specific tools and techniques are similar across multiple frameworks, there are some that may differ. Below are a few commonly used tools and techniques.

Work Breakdown Structure (WBS)

Work breakdown structure Software can be used to break down the larger deliverables of your project into manageable smaller tasks. This is a productivity technique that uses a step-by-step approach to project management.

Gantt Chart

Gantt chart maker is ideal for tracking tasks' start and end dates and milestones. It helps teams to plan their work and jobs to meet deadlines and allocate resources accordingly.

SWOT Analysis

SWOT stands for Strengths, Weaknesses, Opportunities, and Threats. For each project, the SWOT identifies the internal (Strengths and Weaknesses) and external (Opportunities and Threats) drivers affecting your ability to meet the goal. For example, suppose your organization is well known for its expertise in customer service. In that case, improving customer service will be a competitive advantage and a meaningful driver for meeting your goals.

RACI Matrix

RACI stands for responsible, accountable, consulted, and informed. RACI matrix template is used to describe the roles and responsibilities of team members in a project.

Stakeholder Map

The stakeholder map is a tool to help you understand who your stakeholders are and their needs. Using this tool, you can map stakeholders according to their importance and potential impact on the project.

Decision Tree

A decision tree is used for effective decision-making and predicting potential outcomes when multiple courses of action exist. It allows the team to explore options and outcomes to understand the risks and rewards associated with each possible course of action. Use decision tree diagram maker to create effective decision trees faster.

Creately for Project Management

Creately has many tools to make your journey effortless and successful regardless of the type of project methodology or framework you decide to follow.

• Powerful documentation capabilities include doc blocks and attachments and image attachments to create reports and presentations.
• Built-in project management tools including Kanban boards, timelines, multi-role workflows, visual prioritization tools to enable any kind of workflow.
• Whiteboard and freehand drawing capabilities to brainstorm and discuss with colleagues and peers.
• Multiple templates and shapes to prepare project plans and schedules, Gantt charts, roadmaps, and other formats necessary for project management documentation and tracking.
• Multiple access and role levels to manage, share, edit and review, along with multiplayer editing capabilities to collaborate in real-time.
• Comment on anything, with context. Full comment threads and discussions for async collaboration.
• Data, note, and task panels to house information, assign roles and responsibilities, feed in information, and track the progress of activities.
• Integration with other platforms with 2-way syncing to manage data efficiently.
• Spotlight and presentation mode to conduct interactive and dynamic presentations right on the canvas.

Start your project management journey with Creately today!

Join over thousands of organizations that use Creately to brainstorm, plan, analyze, and execute their projects successfully.

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Amanda Athuraliya is the communication specialist/content writer at Creately, online diagramming and collaboration tool. She is an avid reader, a budding writer and a passionate researcher who loves to write about all kinds of topics.

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7-Step Guide on How to Write Methodology of a Project

The methodology section helps the reader to understand how you collected data, the tools used, and the philosophy behind the steps you took. The section helps readers to determine the research veracity of your work. It can determine whether the paper meets desired conditions or it will fall short.

Creating a methodology is one of the most difficult tasks even though it can be a few paragraphs or pages in a paper that is hundreds of pages long. It must capture the type of research you did, how you collected data, the approach during analysis, tools used, and the rationale for all these actions.

Why is methodology important? It provides your philosophy on data collection and handling. It can tell a reader whether your data is valid and, therefore, whether your conclusions are justified. By the time the reader is interacting with the data, he will know that it has been collected professionally.

Here are crucial tips on how to write a project methodology section that captures the imagination of every reader.

• Understand the methodology section

To understand what to include in methods section, you must know the role that the section plays in a research paper. The chapter helps a reader to examine the validity of the data you are using to make conclusions. Notice that the section involves a revelation of the methods used to collect data, tools used during analysis, and the challenges you encountered.

A reader can determine whether those were the best methods or tools available. If you overlooked or assumed too much about research, your paper will miss the mark. The secret is to use the best methods and tools, anticipating the strongest outcomes.

• Use samples as a guide

One of the best guides on how to write a methodology for a project is a sample. The samples feature what you are expected to produce at the end of the writing process. You only should be cautious to obtain the samples from credible sources. A poor quality sample will mislead you instead, resulting in poor performance.

• Gather details on your research methodology

How have you executed your research methodology section? Did you use questionnaires or interviews? What analysis tools did you use? The information must be accurately captured in the section. Remember that transcripts of the interviews and the questionnaires used have to be attached at the end of the paper. Know what you used and the steps you took. A reader can test these assertions.

• Use past tense

One of the tricks on how to write a good research methodology chapter is to master the tense. The section comes from research carried out long before and the data analyzed. It is, therefore, only logical to use past tense in your writing.

• The chapter is descriptive

Use descriptive words when crafting the topic. The reader wants to visualize you collecting data and analyzing it. It is written in such a way that if the reader follows your steps, he will arrive at a similar conclusion. Language is a crucial trick on how to write methodology of a project. It explains the fact that research is already complete.

• Revisit your objectives and research questions

The research question and objectives will guide you on how to write methodology of project. All the data you collect and how you analyze it should help you to answer the research questions and meet these objectives. The two must, therefore, be tied to the methodology section.

• Discuss obstacles

Discuss the shortcomings you experienced. Such challenges are a part of every academic project. They show that your research is not conclusive, paving way for improvements in the future.

Plan your methodology section to be accurate and represent the objectives you set before the start. Use samples to guide you through the writing process. You may also hire professional writing assistants to enable you to draft the best chapter.

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How to Write a Methodology in a Research Proposal

In academic research, crafting a solid methodology is crucial, acting as the foundation for a reliable study structure. It provides the framework that guides the investigation towards addressing research questions and achieving study objectives. Understanding ‘What is methodology in research?’, the components it entails, its efficient organization, and the essential steps required, is vital for aspiring academics.

This comprehensive guide explores the intricacies of accurately generating a methods section in a research proposal. It includes examples, insights, and strategies meticulously drawn from reputable academic sources, experienced instructors, and educational platforms.

What is a Research Proposal Methodology?

The thought-provoking part – methodology in a research paper – acts as a guide that describes the methods of analysis, research instruments, and procedures utilized to conduct the investigation. It delineates the survey design, analysis techniques, data retrieval methods, and ethics-related concerns, crucial for carrying out the investigation. Let's say that in a qualitative survey exploring the influence of social media on mental well-being, the approach section would elucidate how data is compiled through participant interviews or assessments and examined using thematic analysis.

Struggling with ‘how to write a research proposal’? Explore how our AI-powered Aithor Text Generator Assistant transforms the process, seamlessly generating content, reviewing errors, and providing suggestions for ideas and citations. Enhance your work’s proposal effortlessly with our comprehensive tool.

The Structure of the Research Proposal Methodology

In generating a research proposal, the written part for methodology serves as a pivotal element that charts the course of the investigation, delineating the stages and strategies to be employed. Let’s delve into essential elements to feature in this section.

1.  Research Design: Begin by elucidating the overall academic design of your survey, whether it's a quantitative, qualitative method, or mixed. Let’s say, a quantitative investigation may employ surveys with closed-ended queries to compile numerical data. 

2.  Data Retrieval Methods: Delineate the specific approaches employed to compile data, comprising observations, experiments, interviews, or previously collected material – secondary data analysis. Each method must be justified based on its suitability for addressing the investigation queries.

3.  Sampling Strategy: Describe the way survey participants or data samples are selected, ensuring representativeness, and minimizing bias. As an example, a random sampling method may select partakers from the population.

4.  Data Analysis Techniques: Detail the analytical tools and tactics you will use to scrutinize the compiled data. This can involve various methods such as content analysis, thematic exploration, statistical evaluation, or discourse examination, based on the research queries and the data type.

5.  Ethical Concerns: Consider ethical issues like informed consent, privacy-related concerns, confidentiality, and potential threats to participants. Abiding by ethical guidelines is pivotal for upholding investigation trustworthiness.

Largely, the research design outlines how the inquiry will proceed and guarantees precision and dependability in achieving its objectives.  

How to Write a Methodology Section for Research Proposals: The Essential Steps

Creating a well-planned methods section is essential for precisely managing your investigation. Curious about how to write a methodology section? Begin by clearly defining your investigation issue and the hypothesis to set a robust foundation for your inquiry.

Step 1: Specify a Problem Statement and a Strong Hypothesis

Firstly, state the investigation problem, or query that your work aims to address. Here’s a sample: "The study intends to explore the correlation between youngsters' use of social media and their resulting mental well-being."

Express a strong hypothesis that predicts the expected connection between variables. For instance, "It is hypothesized that greater social site usage linked negatively to self-reported mental health records."

Step 2: Define Your Methodological Approach

Select an appropriate methodological approach depending on your investigation design from techniques named qualitative, quantitative, or mixed.

Validate your preference of approach by explaining its suitability for addressing the queries and aims. To illustrate, "A qualitative method is selected to analyze participants' lived experiences and views regarding social media usage and psychological health."

Step 3: Outline Data Collection Methods

Detail the approaches used to gather data, comprising the tools utilized.

For example, "Semi-structured interviews will be conducted to gather rich qualitative records on participants' experiences with social media platforms."

Discuss any pilot testing or validation procedures conducted for the data retrieval mechanisms.

Step 4: Detail Data Analysis Procedures

Specify the analytical methods employed to assess the gathered data. For instance, "Thematic analysis will be utilized to uncover recurring patterns and themes in the interview transcripts concerning the usage of social media impact and mental condition outcomes."

Examine how data saturation or triangulation will be achieved to establish credibility for the investigation findings.

Step 5: Address Ethical Concerns

Offer a comprehensive overview of the ethical concerns in the inquiry, comprising safeguarding participants' privacy, attaining informed consent, and addressing potential risks.

Detail any ethical approvals or permissions obtained from relevant committees that oversee investigation like ethics panels or IRBs – institution-focused review boards.

Briefly, addressing ethical concerns and obtaining necessary approvals are critical steps in safeguarding the credibility of your inquiry outcomes. Also, stay updated on the methodology outline format to make sure your analysis proposal aligns with current standards and best practices. By precisely detailing your methodology ethics and practices, you contribute significantly to advancing expertise in your domain.

Tips on Improving Your Methodology Section - Strategies and Examples

How can you guarantee that your procedures section is succinct, coherent, and easily comprehensible? Below, we provide actionable steps to guide you in constructing a methodology that elevates the clarity of your writing.

1.  Clarity and Precision: Check and refine your methods section for conciseness, clarity, and lack of ambiguity. Use straightforward language and avoid words or phrases like jargon or technical terms that may hinder reader understanding.

2.  Justification: Justify every methodology-based selection by explaining its rationale and relevance to your investigation objectives. For example, "The use of purposive sampling ensures the inclusion of participants with diverse experiences related to social media usage."

3.  Transparency: Be sufficiently transparent about any limitations or constraints in this part, be it data collection challenges or sample size limitations. This enhances the trustworthiness of your work.

4.  Validation: Discuss any validation or reliability checks conducted for your data retrieval instruments or analytical procedures. Verification improves the reliability and authenticity of your findings.

5.  Peer Review: Consider obtaining feedback from researchers who are knowledgeable about study methodology to review, enhance, and polish your methodology section. Peer review acts as a helping tool to detect potential weaknesses or areas needing enhancement.

Prioritize justification, transparency, validation, and peer feedback to increase the validity and integrity of your methodology. These elements significantly contribute to the progression of knowledge in your academic field.

Final Thoughts

To wrap up, comprehending how to write a methodology section in a study proposal and eventually mastering this art is essential for carrying out impactful and rigorous studies. By following the ethical guidelines and outlined steps, and carefully organizing your methods section, you elevate the quality and credibility of your investigation. A well-designed methodology supports both your inquiry's execution and the advancement of expertise in your field. Best of luck with your research!

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Top 10 Project Management Methodologies: An Overview

There are many different project management methodologies, and they all have pros and cons. Some of them work better in particular industries or projects , so you’ll need to learn about project management methodologies to decide which one works best for you.

What Is a Project Management Methodology?

A project management methodology is a set of principles, tools and techniques that are used to plan, execute and manage projects. Project management methodologies help project managers lead team members and manage work while facilitating team collaboration.

We’ll go through some of the most popular project management methodologies, which are applied in many sectors such as software development, R&D and product development.

Top 10 Project Management Methodologies

If you manage projects, you need to learn about project management methodologies. Here’s a quick overview of the most commonly used project management methods that you can use.

1. Waterfall Methodology

This may be the most straightforward and linear of all the project management methods in this list, as well as the most traditional approach. The name is apt, as the waterfall methodology is a process in which the phases of the project flow downward. The waterfall model requires that you move from one project phase to another only once that phase has been successfully completed.

When to use it: The waterfall approach is great for manufacturing and construction projects , which are highly structured, and when it’s too expensive to pivot or change anything after the fact. The waterfall method makes use of Gantt charts for planning and scheduling.

2. Agile Methodology

What it is: In a nutshell, Agile project management is an evolving and collaborative way to self-organize across teams. When implementing the agile methodology , project planning and work management are adaptive, evolutionary in development, seeking early delivery and are always open to change if that leads to process improvement. It’s fast and flexible, unlike waterfall project management.

The agile methodology offers project teams a very dynamic way to work and collaborate and that’s why it is a very popular project management methodology for product and software development. That’s because what we think of as agile really appeared in 2001 with the publication of the “Manifesto for Agile Software Development,” authored by 17 software developers.

When to use it: The practice originated in software development and works well in that culture. How do you know if agile is for you? It has been applied to non-software products that seek to drive forward with innovation and have a level of uncertainty, such as computers, motor vehicles, medical devices, food, clothing, music and more. It’s also being used in other types of projects that need a more responsive and fast-paced production schedule , such as marketing.

3. Scrum Methodology

What it is: Scrum is a short “sprint” approach to managing projects. The scrum methodology is It’s ideal for teams of no more than 10 people and often is wedded to two-week cycles with short daily meetings, known as daily scrum meetings . It’s led by what is called a scrum master . Scrum works within an agile project management framework, though there have been attempts to scale Scrum to fit larger organizations.

The term scrum was introduced in a “Harvard Business Review” article from 1986 by Hirotaka Takeuchi and Ikujiro Nonaka. It became a part of agile when Ken Schwaber and Mike Beedle wrote the book “Agile Software Development with Scrum” in 2001. Schwaber formed the Scrum Alliance in 2002, a certified scrum accreditation series. Schwaber left the Scrum Alliance in 2009 to start a parallel accreditation organization called Scrum.org.

When to use it: Like agile, the scrum methodology has been used predominantly in software development, but proponents note it is applicable across any industry or business, including retail logistics, event planning or any project that requires some flexibility. It does require strict scrum roles , however.

4. Project Management Body of Knowledge (PMBOK)

What it is: This is the granddaddy of methodologies if it’s a methodology at all. The Project Management Institute (PMI) is a not-for-profit membership association, project management certification and standards organization.

This organization produces a book called the “Project Management Body of Knowledge” or PMBOK. The PMBOK provides definitions and guidelines for project planning, scheduling, executing and controlling. For example, the project management process groups describe the project life cycle, while the 10 project management knowledge areas explain how to manage a project.

When to use it: Almost any project can benefit from PMBOK, as all projects big and small are going to go through the various stages of the project life cycle outlined in the book. It’s a great way to keep everyone on the same page, so to speak, and offers a clear definition of how a project is managed.

The Project Management Institute it’s also the organization that grants various project management certifications such as the project management professional (PMP) certification, which is the gold standard among project managers and is recognized all over the world. PMBOK is a great traditional framework to run a project.

5. Critical Path Method (CPM)

What it is: In the critical path method (CPM), you build a model of the project, including all the activities listed in a work breakdown structure , the duration of those tasks, what if any task dependencies there are and marking off milestones to indicated larger phases of the project or points in which your project deliverables are due.

With this information, you can identify the longest sequence of tasks to finish the project, which is called the critical path. You’ll need to keep an eye on those tasks because if one of them is delayed, the whole project will be delayed.

The critical path method was developed in the late 1950s by Morgan R. Walker of DuPont and James E. Kelley, Jr., of Remington Rand. DuPont was already using a precursor of CPM as early as the 1940s, and it was applied to the Manhattan Project.

When to use it: CPM works better with smaller or mid-sized projects. The larger the project, the more difficult it can be to take all the data you need to diagram and make sense of it without project management software .

6. Critical Chain Project Management (CCPM)

What it is: In , you’re focusing on resources that you’ll be using to complete the project, such as teams, equipment, office space, etc. It’s a less technical method of project management that doesn’t put as much emphasis on task order or schedule , but rather on balancing resources and keeping them flexible.

First introduced in 1997, in the book “Critical Path” by Eliyahu M. Goldratt, it has been credited with making projects anywhere from 10-50% faster and/or cheaper.

When to use it: CCPM can be applied to both large and small companies, and for projects that include industries such as construction, software development and tech research and development.

7. Kanban Methodology

What it is: The kanban methodology is a visual approach to project management. The name is literally billboard in Japanese. It helps manage workflow by placing tasks on a kanban board where workflow and progress are clear to all team members. The kanban methodology helps reduce inefficiencies and is a great project management tool for many purposes such as lean manufacturing or agile projects.

Kanban project management has been around since the late 1940s when it was studied by Toyota used the rate of demand to control the rate of production of its vehicles. The car company applied it to its lean manufacturing model, known as the Toyota production system.

With the dawn of visual planning boards in software in our era, like Trello, there are now new uses for kanban tools and kanban methods. Agile teams use kanban boards for story-boarding user stories and for backlog planning in software development.

When to use it: Another process developed initially for manufacturing and for software teams, the kanban method has since expanded and has been used in human resources, marketing, organizational strategy, executive process and accounts receivable and payable. Almost anyone can plan with Kanban boards, adding cards to represent project phases, task deadlines, people, ideas and more. Kanban software makes this methodology especially accessible.

8. Extreme Programming (XP)

What it is: It sounds like some dangerous sport the kids are into, but in fact, XP is a type of agile software development with short development cycles and multiple releases to improve productivity. Customer requirements are sought and can adapt to the course of the project.

Created by Kent Beck while working on the Chrysler Comprehensive Compensation System payroll project, he literally wrote the book (“Extreme Programming Explained”) in 1999. But many of its practices have been around for a while.

When to use it: When requirements change frequently, then you’ll want to use a methodology such as XP. It’s good when your customer doesn’t have a clear idea of what they want.

9. Lean Methodology

What it is: Lean project management is what you’d think it is from its name: a way to cut waste and in so doing increase value in projects and manufacturing processes. So, lean focuses on eliminating waste from key processes to continuously be impacting positively on the value stream. It does this by optimizing separate technologies, assets and verticals.

Lean project management goes back to Henry Ford and his flow production for automating the process of building cars. Toyota picked up on the idea, as well, extending their idea beyond manufacturing to the continuous improvement of the product development process.

Today, software development teams run lean processes to focus on end-user feedback and increased value, which means Lean methodology has taken on a new meaning, particularly with the publishing of Lean Startup, by Eric Ries, who advocates for rapid prototyping, end-user feedback and early and rapid product delivery.

When to use it: Lean project management was first developed by Toyota and is obviously a great methodology for manufacturing. In fact, it’s also referred to as lean manufacturing , but it has been adopted by construction and education industries, among others in the manufacturing space and countless startups and software development firms looking to drive products focused on the end-user.

10. Six Sigma

What it is: Introduced by engineers working at Motorola in the mid-1980s, Six Sigma works to improve quality by identifying what is not working in the project. It applies quality management, including empirical statistics, and employs personnel who are experts in these disciplines. There is also a Lean Six Sigma that adds lean methodology to eliminate waste.

As a doctrine, it says that continued efforts to achieve results that are stable and expected are most important to success. Processes can be refined and improved. It takes the whole organization, from the top down, to sustain quality in a project.

When to use it: This methodology works best in larger organizations. Even companies with a few hundred employees are likely too small to take advantage of its benefits. It requires a certification to practice. Learn about six sigma certification here.

11. PRINCE2

What it is: PRINCE2 stands for Projects IN Controlled Environments and is a structured certified methodology. It was initially created by the UK government for IT projects. PRINCE2 is not like other traditional methods like waterfall, in that it’s not a one-size-fits-all solution, but follows seven principles, themes and procedures.

When the UK government adopted standards for IT systems in 1989, they called in PRINCE. PRINCE2 came about in 1996 as a more general project management method. It is now a popular project management methodology throughout all UK governmental agencies and the United Nations.

When to use it: Adopted by many other countries’ governments, PRINCE2, so, as you can imagine, it’s not always suitable for smaller projects.

ProjectManager Works with Any Project Management Methodology

There are almost as many methods to manage as there are projects. But they all share one thing in common: getting deliverables done on time and within budget. No matter which project management methodology you choose ProjectManager is the one software you’ll need to do it.

Tools for Waterfall Project Management

Waterfall is structured. One thing follows the next and it’s all planned out. No problem. ProjectManager has an online Gantt chart . Import your task list to start a new project. Add due dates and the tasks populate a timeline. Link-dependent tasks to avoid bottlenecks. Set milestones to separate the project into phases. You control the project step by step.

Tools for Agile Project Management

Gantt charts aren’t going to help as much as other project tools if you’re working in an agile framework. That’s true, but ProjectManager is flexible enough to serve scrum teams with multiple project views.

Use the kanban view to map out your sprint. Product backlogs are collected on cards, which can be prioritized for scrum teams to know which user story to work on first. Then the sprint can be archived, so when doing a sprint retrospective, teams can learn from their mistakes and improve the process.

Multiple Views for Diverse Teams

What if your organization is larger, with different divisions, some that work with an agile project management framework and others with a more traditional waterfall methodology? What’s great about ProjectManager is that it can switch from one view to the other, giving IT teams a kanban board view for their scrum sprints and managers a Gantt chart for a bigger project planning overview.

The real-time dashboard and reporting features gather the same data and crunch the same numbers, so whatever project management method you use is tracking the same results.

Yes, ProjectManager is an award-winning project management software for a reason. It’s flexible enough to work in an agile environment, traditional waterfall methodology or a hybrid of the two. You decide, not the software, which means ProjectManager is the one tool to bring in your project, however, you manage it, successfully.

Related Content

• Project Integration Management
• Waterfall Project Management Software
• Agile Project Management Software
• Critical Path Software

There are more project management methodologies, but these are some of the most popular. Regardless of which you use, you need a project management tool to best manage all your processes and projects. ProjectManager is an online PM tool, so whatever methodology is right for you our software will help you apply it to a successful end. Try it free for 30 days and see for yourself.

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The Easies Way to Write the Methodology Chapter

by  Antony W

June 6, 2024

In this lesson, you’ll learn how to write the methodology chapter of a thesis, dissertation, or a research paper, step-by-step. So if you’ve reached this section in your assignment and you simply no idea how to proceed, this article will point you in the right direction.

You’ll learn what the methodology chapter is about and how you can go about writing one by following a systematic approach guaranteed to help you complete the project faster.

By definition, the methodology chapter of a thesis, dissertation, or research paper is the section where you explain about the specific research design options used in your research. It’s in the methodology chapter that you explain the process you used to design your research and give a justification for the research design.

In other words, the methodology section should clearly demonstrate:

• Whether you conducted quantitative or qualitative research
• The approach you used to collect the data
• What your approach to analyzing the data was and
• The kind of sampling that you did

With that said, let’s get into more details on dealing with the methodology chapter of your research work.

What is the Methodology Chapter for a Research Paper and Dissertation?

In your methodology chapter, you’ll explain the conceptual foundations of your study as well as the specific research design decisions you’ve made. The purpose of this chapter is to explain how you designed your research. 

There are two reasons why your research paper, thesis, and dissertation should have a methodology section:

• It shows that you understand the concept of research design theory, that you understand what you’re doing in research, and that the results you’ll present have a high degree of credibility.
• Because it outlines the steps you took to do and analyze your research, the methodology chapter is what sets your study apart from the others. It also allows you to identify and describe any methodological concerns or problems that you ran into, as well as explain how you dealt with them.

How to Write The Methodology Chapter – Step-by-Step

It’s worth mentioning that the methodology chapter’s specific format and contents will differ based on the study topic and the university. We strongly recommend that you check with your professor to find out what structure they would like you to use.

More often than not, they will allow you to use the standard structure for your paper, which should make the writing process easier for you. Ideally, the methodology chapter of your research paper, thesis, or dissertation should have the following sections:

• Introduction
• Research design
• Methodological limitation
• A concluding summary

Let’s look at each section in more details below:

The Introduction

The methodology chapter should contain a brief introduction of your dissertation or thesis. You should remind your readers about the emphasis of your study, particularly the research objectives.

Your research design must correspond with your research aims, objectives, and research questions, so include this up front to remind the reader what you intend to accomplish with your research design.

We strongly recommend that you explain how you’ve organized the chapter. Doing so will make it easy for the reader to have a clear roadmap of what to expect from reading the rest of the section of your methodology chapter.

Research Design

We like to refer to research design as the heart of the methodology chapter because it presents your research design in great depth to the reader. The information you provide here should be good enough to justify the design choices you made for your paper.

Here’s how to approach it: 

1. Describe Your Methodological Approach

Start by explaining the research subject or problem you looked into. It could be that you wanted to methodically define something’s qualities, investigate a little-studied issue, or prove a cause-and-effect relationship. Whatever it is, write it down because it will guide your reader throughout the other section of the research design.

Some questions to think about when working on your methodological approach include:

• Did you require quantitative or qualitative data?
• Was it necessary for you to obtain primary data personally, or did you rely on secondary data gathered by others?
• Did you collect descriptive data by gathering observations without intervening, or did you collect experimental data by altering variables?
• Were there any ethical factors involved in your decision-making?

2. Explain Your Methods of Data Collection

Next step in research design is to explain the data collection method you used to gather information for your research project.

The following table is a summary of the data collection methods as used in research writing:

3. Explain Your Data Analysis Methods

The next step is to describe how you processed and analyzed the data.

• Quantitative analysis: Your analysis in quantitative research will be on numbers. You may include how you prepared the data for analysis, the computer software you used, and the statistical you employed.
• Qualitative analysis:   Your analysis in qualitative research will be based on language, visuals, and observations (often involving some form of textual analysis).

4. Methodological Limitations 

You can admit to the approach’s limits or flaws, but explain why the advantages exceeded the disadvantages. Explain why prior strategies were ineffective in achieving your goals, and how this strategy adds new information or insight.

Your methodology should be a well-structured, unambiguous document that argues for your approach rather than a collection of technical information and processes.

About the author 

Antony W is a professional writer and coach at Help for Assessment. He spends countless hours every day researching and writing great content filled with expert advice on how to write engaging essays, research papers, and assignments.

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6 popular project management methodologies and what they’re best suited for

You’re a project manager who has just been tasked with managing two very different, yet intertwined projects. It’s up to you to choose the best project management methodology for each project.

One project is with your development team. They need to overhaul your organization’s website to improve the clunky and somewhat confusing user experience—from the moment that a customer lands on the site to after they make a purchase. The development team is super flexible and open to breaking up into smaller teams in order to tackle specific aspects of the website overhaul faster.

The catch with this project? It’s on a time crunch.

The website has to be overhauled before the launch of your second and longer-term project: a large-scale marketing campaign around a new line of products that are launching next quarter.

First of all, you can do this! Breath in, breath out, read on, choose the best project management methodology for each task, and get to work doing what you do best!

How To Choose The Best Project Management Methodology

No two projects are alike.

Some may remind you of a past project (that you absolutely nailed, by the way!) but there’s always a catch, isn’t there? One project may have unlimited budgets, endless resources, and flexible timelines—a walk in the park for you—, while another may have high stakeholder expectations, limited budget, tight timelines, multiple teams, and dozens of dependencies.

Since every project is so different, there are many project management methodologies to choose from that support the various project and team needs. There are so many methodologies, in fact, that new ones may have emerged while you’re reading this!

What Is A Project Management Methodology?

Glad you asked. Methodologies are the systems (or simply, methods) used to do something.

The Project Management Institute defined it as “a system of practices, techniques, procedures, and rules used by those who work in a discipline.”

Choosing the right methodology , as well as project management tools and teams, will set you up for success before your project kicks off. For example, you wouldn’t pick a fast-paced, quick iteration project management methodology for a long-term, large-scale, inflexible, and stakeholder-heavy project. Pair like projects with like systems.

To do that, let’s look at your project factors or considerations, such as constraints and dependents.

What Project Factors Are You Working With?

As mentioned earlier, there are many considerations at play that make each project unique. Some factors to consider what you’re evaluating your project management methodologies include:

• Project budget: How much money is going to be spent on this project? How is it divided up?
• Timeline: When is your project due by?
• Goals: What are the project’s end goals and deliverables? Start there and work backward.
• Values: How do your organizational goals and values apply to this project? Knowing this will help set expectations (and help you hold team members accountable for their commitments ).
• Complexity and Scale: How complex or simple is this project?
• Flexibility: How flexible or rigid is this project and its end goals, timelines, deliverables, and team or stakeholder expectations?
• Project type and industry: Some methodologies work best for certain industries and project types, such as highly creative projects or product development sprints.
• Team: Consider the team size, diversity, flexibility, experience, and individual expertise or strengths and weaknesses, as well as their ability to collaborate and communicate when choosing a methodology.

6 Popular Project Management Methodologies And What They’re Best Suited For

It’s important to learn the similarities and differences of various methodologies available to you. For example, some project management methodologies work best if the end goal is fixed and clear, such as the Waterfall method, whereas others better suit those projects that aren’t, such as Agile and Scrum. Keep your project factors in mind while you read on—and then choose the best method for your team.

Let’s get to the methodologies.

1. Agile: Flexible, Fast, And Short Collaborative Sprint Projects

More than a methodology, agile is a set of principles that would be ideal to follow for your first (hypothetical) project.

Agile is made up of fundamental values that are ideal for small teams to work in short and fast project cycles or sprints without blockers. Blockers include too much documentation, work in progress, meetings, or processes to slow them down. The working team would need to be protected from these blockers so that they can stay focused on the tasks at hand.

Teams who work well together can collaborate on small tasks and adapt and respond to an ever-changing task list. Because agile is an iterative design and build process, teams must be flexible with the outcomes and the path they take to get there.

2. Scrum: Quick And Continuous Development Projects

If agile is a set of principles that teams follow to work quickly and respond adaptively to changes as they arise, then Scrum is a project management methodology and the most popular and simple framework that puts agile principles to use.

Scrum is an ideal methodology for your project with the development team to overhaul the website. It’s ideal for continuous improvement and rolling task lists. Something like improving the customer journey on a website may have a timeline, but will always have room for improvement—especially as customer expectations and the digital space change so quickly.

The goal of Scrum is to develop, build, deliver, and sustain complex products using small collaborative and highly accountable teams and iterative task lists. There are roles, events, and artifacts. Roles include a product owner, development team, and scrum master, while events include sprints, daily scrums, or standup meetings, and artifacts include product and sprint backlogs.

3. Kanban: Visualize Task Progress For Agile Teams

Like Scrum, Kanban is another product management methodology that follows agile principles. Kanban is ideal for projects that are done by small, flexible, and collaborative teams, like Scrum, but there is a highly visual aspect as well.

Tasks are visually displayed in-person on sticky notes or in software such as Trello using columns as they progress. This is called a Kanban board. Tasks move from a backlog through the board’s columns that represent various stages of the process from the backlog, start to finish.

Having a visual representation of backlogged work, work in progress, and completed tasks is a great project management tool for most projects.

This would also be helpful for your second project, in particular, to keep track of tasks’ status as they move throughout the creative process. For example, designing a webpage for the new line of products will have various steps and creative team members involved. Visually seeing how the project is progressing will help you and the team to see how it’s coming along and where blockers are.

4. Lean: Projects That Do More With Less

For those organizations that are looking to transform how they do business, the lean methodology may be one to consider. Lean aims to maximize customer value and minimize waste. This is a great way to put out quality work while increasing efficiencies that minimize unnecessary spending, resources, teams output, or time.

Lean was created in the Japanese manufacturing industry to improve quality control and remove redundancies that may increase the price or value for customers down the line.

Known as the three M’s, Lean methodology defines three types of project waste: muda, mura, and muri.

• Muda is about getting rid of the waste or anything that doesn’t add value.
• Mura streamlines processes, so if one aspect of the project takes too long, for instance, then something further down the task list will have to be completed faster.
• Muri is about removing blockers, such as too many stakeholder meetings.

5. Waterfall: Large-Scale, End-Goal Focused, And Fixed Projects

Tried, tested, and true, the Waterfall methodology has been around since the 1970s. Like a waterfall that cascades downhill, this method is sequential with ordered tasks following one after another as they are completed.

The Waterfall method requires a very solid understanding of the end goal and the necessary steps to get there. As such, it doesn’t leave much room for errors or flexibility. This is great for projects that you’ve done in the past where there is minimal need to adapt on the fly.

This could be something to consider for your large-scale marketing project if you’ve launched new product lines many times in the past and don’t expect any surprises.

With this method, collect and analyze any and all project requirements and deadlines. This requires a lot of up-front work and planning. Then design your approach to meet every stage and their deadline in sequence before reviewing it and putting it into action.

6. Hybrid: Flexible And Fast-Paced Projects With Structured Plans

If agile aims to move fast, adapt quickly, and be flexible, Waterfall is its polar opposite, with fixed deadlines, clear deliverables, and mapped-out categorized project plans.

Hybrid is a methodology that blends the two. Think of it as the best of both worlds. You get the structure and organization of planning milestones out and the flexibility and speed of agile workflows.

It takes the flexible and fast pace of agile principles and blends them with the structured goals and mapped out plans of Waterfall. Take a look at your project requirements, task list, deadlines, and goals. The hybrid methodology uses those as your guidelines, but when it comes to getting the work done, teams should work with some flexibility on rapid iterations.

May The Best Methodology Help You Deliver On Your Projects

There are many more methodologies to name and discuss—and picking the right one for your project can be tricky! In the end, however, it’s all about picking a system that works for you, your project, and your team.

Project management methodologies were created to help you deliver the best possible outcomes based on your project’s circumstances. Take your time to find what works best, try them out, and do a debrief with your team on what worked and what didn’t. If it wasn’t the right methodology for one project, it may be ideal for another—and now you’re armed with that much more knowledge and expertise.

Happy project planning!

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How to Write Research Methodology

Last Updated: May 27, 2024 Approved

This article was co-authored by Alexander Ruiz, M.Ed. and by wikiHow staff writer, Jennifer Mueller, JD . Alexander Ruiz is an Educational Consultant and the Educational Director of Link Educational Institute, a tutoring business based in Claremont, California that provides customizable educational plans, subject and test prep tutoring, and college application consulting. With over a decade and a half of experience in the education industry, Alexander coaches students to increase their self-awareness and emotional intelligence while achieving skills and the goal of achieving skills and higher education. He holds a BA in Psychology from Florida International University and an MA in Education from Georgia Southern University. wikiHow marks an article as reader-approved once it receives enough positive feedback. In this case, several readers have written to tell us that this article was helpful to them, earning it our reader-approved status. This article has been viewed 527,572 times.

The research methodology section of any academic research paper gives you the opportunity to convince your readers that your research is useful and will contribute to your field of study. An effective research methodology is grounded in your overall approach – whether qualitative or quantitative – and adequately describes the methods you used. Justify why you chose those methods over others, then explain how those methods will provide answers to your research questions. [1] X Research source

Describing Your Methods

• In your restatement, include any underlying assumptions that you're making or conditions that you're taking for granted. These assumptions will also inform the research methods you've chosen.
• Generally, state the variables you'll test and the other conditions you're controlling or assuming are equal.

• If you want to research and document measurable social trends, or evaluate the impact of a particular policy on various variables, use a quantitative approach focused on data collection and statistical analysis.
• If you want to evaluate people's views or understanding of a particular issue, choose a more qualitative approach.
• You can also combine the two. For example, you might look primarily at a measurable social trend, but also interview people and get their opinions on how that trend is affecting their lives.

• For example, if you conducted a survey, you would describe the questions included in the survey, where and how the survey was conducted (such as in person, online, over the phone), how many surveys were distributed, and how long your respondents had to complete the survey.
• Include enough detail that your study can be replicated by others in your field, even if they may not get the same results you did. [4] X Research source

• Qualitative research methods typically require more detailed explanation than quantitative methods.
• Basic investigative procedures don't need to be explained in detail. Generally, you can assume that your readers have a general understanding of common research methods that social scientists use, such as surveys or focus groups.

• For example, suppose you conducted a survey and used a couple of other research papers to help construct the questions on your survey. You would mention those as contributing sources.

Justifying Your Choice of Methods

• Describe study participants specifically, and list any inclusion or exclusion criteria you used when forming your group of participants.
• Justify the size of your sample, if applicable, and describe how this affects whether your study can be generalized to larger populations. For example, if you conducted a survey of 30 percent of the student population of a university, you could potentially apply those results to the student body as a whole, but maybe not to students at other universities.

• Reading other research papers is a good way to identify potential problems that commonly arise with various methods. State whether you actually encountered any of these common problems during your research.

• If you encountered any problems as you collected data, explain clearly the steps you took to minimize the effect that problem would have on your results.

• In some cases, this may be as simple as stating that while there were numerous studies using one method, there weren't any using your method, which caused a gap in understanding of the issue.
• For example, there may be multiple papers providing quantitative analysis of a particular social trend. However, none of these papers looked closely at how this trend was affecting the lives of people.

Connecting Your Methods to Your Research Goals

• Depending on your research questions, you may be mixing quantitative and qualitative analysis – just as you could potentially use both approaches. For example, you might do a statistical analysis, and then interpret those statistics through a particular theoretical lens.

• For example, suppose you're researching the effect of college education on family farms in rural America. While you could do interviews of college-educated people who grew up on a family farm, that would not give you a picture of the overall effect. A quantitative approach and statistical analysis would give you a bigger picture.

• If in answering your research questions, your findings have raised other questions that may require further research, state these briefly.
• You can also include here any limitations to your methods, or questions that weren't answered through your research.

• Generalization is more typically used in quantitative research. If you have a well-designed sample, you can statistically apply your results to the larger population your sample belongs to.

Template to Write Research Methodology

Community Q&A

• Organize your methodology section chronologically, starting with how you prepared to conduct your research methods, how you gathered data, and how you analyzed that data. [13] X Research source Thanks Helpful 0 Not Helpful 0
• Write your research methodology section in past tense, unless you're submitting the methodology section before the research described has been carried out. [14] X Research source Thanks Helpful 0 Not Helpful 0
• Discuss your plans in detail with your advisor or supervisor before committing to a particular methodology. They can help identify possible flaws in your study. [15] X Research source Thanks Helpful 0 Not Helpful 0

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• ↑ http://expertjournals.com/how-to-write-a-research-methodology-for-your-academic-article/
• ↑ http://libguides.usc.edu/writingguide/methodology
• ↑ https://www.skillsyouneed.com/learn/dissertation-methodology.html
• ↑ https://uir.unisa.ac.za/bitstream/handle/10500/4245/05Chap%204_Research%20methodology%20and%20design.pdf
• ↑ https://elc.polyu.edu.hk/FYP/html/method.htm

About This Article

To write a research methodology, start with a section that outlines the problems or questions you'll be studying, including your hypotheses or whatever it is you're setting out to prove. Then, briefly explain why you chose to use either a qualitative or quantitative approach for your study. Next, go over when and where you conducted your research and what parameters you used to ensure you were objective. Finally, cite any sources you used to decide on the methodology for your research. To learn how to justify your choice of methods in your research methodology, scroll down! Did this summary help you? Yes No

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Thesis, major paper, and major project proposals

• Definitions
• Introductory section
• Literature review

Methodology

• Schedule/work plan
• Other potential elements
• Proposal references
• Ask for help

The methodology section can include (but isn't limited to):

• A description of the research design and methods
• A description of data-gathering instruments
• Methods of data collection
• Ethical considerations
• Analysis strategies and techniques
• Potential participants
• Rationale for your choice of methodological choices
• How the methodology is appropriate for the organization or participants
• The advantages and disadvantages of the methodology
• References to scholarly literature that support the chosen research design and methods

If you are unsure if including the methodology is required in your thesis, major project, or research paper proposal, please consult with your instructor or advisor.

This information regarding the methodology section of a proposal was gathered from RRU thesis and major project handbooks, current in 2020, from programs in the Faculty of Social and Applied Sciences, the Faculty of Management, and the College of Interdisciplinary Studies. If the details here differ from the information provided in the handbook for your project, please follow the handbook's directions.

Image credit: Image by Gerd Altmann from Pixabay

• In SAGE Research Methods Project Planner ; access via this link requires a RRU username and password.

Data Collection

How Do I Write About Theory?

• In SAGE Research Methods: Writing Up ; look for the How Do I Write About Theory? drop down option. Access via this link requires a RRU username and password.

How Do I Write My Methodology Section?

• In SAGE Research Methods: Writing Up ; look for the How Do I Write My Methodology Section? drop down option. Access via this link requires a RRU username and password.

Research Ethics

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• Last Updated: Jan 8, 2024 12:29 PM
• URL: https://libguides.royalroads.ca/proposals

Reference management. Clean and simple.

What is research methodology?

The basics of research methodology

Why do you need a research methodology, what needs to be included, why do you need to document your research method, what are the different types of research instruments, qualitative / quantitative / mixed research methodologies, how do you choose the best research methodology for you, frequently asked questions about research methodology, related articles.

When you’re working on your first piece of academic research, there are many different things to focus on, and it can be overwhelming to stay on top of everything. This is especially true of budding or inexperienced researchers.

If you’ve never put together a research proposal before or find yourself in a position where you need to explain your research methodology decisions, there are a few things you need to be aware of.

Once you understand the ins and outs, handling academic research in the future will be less intimidating. We break down the basics below:

A research methodology encompasses the way in which you intend to carry out your research. This includes how you plan to tackle things like collection methods, statistical analysis, participant observations, and more.

You can think of your research methodology as being a formula. One part will be how you plan on putting your research into practice, and another will be why you feel this is the best way to approach it. Your research methodology is ultimately a methodological and systematic plan to resolve your research problem.

In short, you are explaining how you will take your idea and turn it into a study, which in turn will produce valid and reliable results that are in accordance with the aims and objectives of your research. This is true whether your paper plans to make use of qualitative methods or quantitative methods.

The purpose of a research methodology is to explain the reasoning behind your approach to your research - you'll need to support your collection methods, methods of analysis, and other key points of your work.

Think of it like writing a plan or an outline for you what you intend to do.

When carrying out research, it can be easy to go off-track or depart from your standard methodology.

Tip: Having a methodology keeps you accountable and on track with your original aims and objectives, and gives you a suitable and sound plan to keep your project manageable, smooth, and effective.

With all that said, how do you write out your standard approach to a research methodology?

As a general plan, your methodology should include the following information:

• Your research method.  You need to state whether you plan to use quantitative analysis, qualitative analysis, or mixed-method research methods. This will often be determined by what you hope to achieve with your research.
• Explain your reasoning. Why are you taking this methodological approach? Why is this particular methodology the best way to answer your research problem and achieve your objectives?
• Explain your instruments.  This will mainly be about your collection methods. There are varying instruments to use such as interviews, physical surveys, questionnaires, for example. Your methodology will need to detail your reasoning in choosing a particular instrument for your research.
• What will you do with your results?  How are you going to analyze the data once you have gathered it?
• Advise your reader.  If there is anything in your research methodology that your reader might be unfamiliar with, you should explain it in more detail. For example, you should give any background information to your methods that might be relevant or provide your reasoning if you are conducting your research in a non-standard way.
• How will your sampling process go?  What will your sampling procedure be and why? For example, if you will collect data by carrying out semi-structured or unstructured interviews, how will you choose your interviewees and how will you conduct the interviews themselves?
• Any practical limitations?  You should discuss any limitations you foresee being an issue when you’re carrying out your research.

In any dissertation, thesis, or academic journal, you will always find a chapter dedicated to explaining the research methodology of the person who carried out the study, also referred to as the methodology section of the work.

A good research methodology will explain what you are going to do and why, while a poor methodology will lead to a messy or disorganized approach.

You should also be able to justify in this section your reasoning for why you intend to carry out your research in a particular way, especially if it might be a particularly unique method.

Having a sound methodology in place can also help you with the following:

• When another researcher at a later date wishes to try and replicate your research, they will need your explanations and guidelines.
• In the event that you receive any criticism or questioning on the research you carried out at a later point, you will be able to refer back to it and succinctly explain the how and why of your approach.
• It provides you with a plan to follow throughout your research. When you are drafting your methodology approach, you need to be sure that the method you are using is the right one for your goal. This will help you with both explaining and understanding your method.
• It affords you the opportunity to document from the outset what you intend to achieve with your research, from start to finish.

A research instrument is a tool you will use to help you collect, measure and analyze the data you use as part of your research.

The choice of research instrument will usually be yours to make as the researcher and will be whichever best suits your methodology.

There are many different research instruments you can use in collecting data for your research.

Generally, they can be grouped as follows:

• Interviews (either as a group or one-on-one). You can carry out interviews in many different ways. For example, your interview can be structured, semi-structured, or unstructured. The difference between them is how formal the set of questions is that is asked of the interviewee. In a group interview, you may choose to ask the interviewees to give you their opinions or perceptions on certain topics.
• Surveys (online or in-person). In survey research, you are posing questions in which you ask for a response from the person taking the survey. You may wish to have either free-answer questions such as essay-style questions, or you may wish to use closed questions such as multiple choice. You may even wish to make the survey a mixture of both.
• Focus Groups.  Similar to the group interview above, you may wish to ask a focus group to discuss a particular topic or opinion while you make a note of the answers given.
• Observations.  This is a good research instrument to use if you are looking into human behaviors. Different ways of researching this include studying the spontaneous behavior of participants in their everyday life, or something more structured. A structured observation is research conducted at a set time and place where researchers observe behavior as planned and agreed upon with participants.

These are the most common ways of carrying out research, but it is really dependent on your needs as a researcher and what approach you think is best to take.

It is also possible to combine a number of research instruments if this is necessary and appropriate in answering your research problem.

There are three different types of methodologies, and they are distinguished by whether they focus on words, numbers, or both.

➡️ Want to learn more about the differences between qualitative and quantitative research, and how to use both methods? Check out our guide for that!

If you've done your due diligence, you'll have an idea of which methodology approach is best suited to your research.

It’s likely that you will have carried out considerable reading and homework before you reach this point and you may have taken inspiration from other similar studies that have yielded good results.

Still, it is important to consider different options before setting your research in stone. Exploring different options available will help you to explain why the choice you ultimately make is preferable to other methods.

If proving your research problem requires you to gather large volumes of numerical data to test hypotheses, a quantitative research method is likely to provide you with the most usable results.

If instead you’re looking to try and learn more about people, and their perception of events, your methodology is more exploratory in nature and would therefore probably be better served using a qualitative research methodology.

It helps to always bring things back to the question: what do I want to achieve with my research?

Once you have conducted your research, you need to analyze it. Here are some helpful guides for qualitative data analysis:

➡️  How to do a content analysis

➡️  How to do a thematic analysis

➡️  How to do a rhetorical analysis

Research methodology refers to the techniques used to find and analyze information for a study, ensuring that the results are valid, reliable and that they address the research objective.

Data can typically be organized into four different categories or methods: observational, experimental, simulation, and derived.

Writing a methodology section is a process of introducing your methods and instruments, discussing your analysis, providing more background information, addressing your research limitations, and more.

Your research methodology section will need a clear research question and proposed research approach. You'll need to add a background, introduce your research question, write your methodology and add the works you cited during your data collecting phase.

The research methodology section of your study will indicate how valid your findings are and how well-informed your paper is. It also assists future researchers planning to use the same methodology, who want to cite your study or replicate it.

How to Write a Research Proposal: (with Examples & Templates)

Table of Contents

Before conducting a study, a research proposal should be created that outlines researchers’ plans and methodology and is submitted to the concerned evaluating organization or person. Creating a research proposal is an important step to ensure that researchers are on track and are moving forward as intended. A research proposal can be defined as a detailed plan or blueprint for the proposed research that you intend to undertake. It provides readers with a snapshot of your project by describing what you will investigate, why it is needed, and how you will conduct the research.  

Your research proposal should aim to explain to the readers why your research is relevant and original, that you understand the context and current scenario in the field, have the appropriate resources to conduct the research, and that the research is feasible given the usual constraints.  

This article will describe in detail the purpose and typical structure of a research proposal , along with examples and templates to help you ace this step in your research journey.  

What is a Research Proposal ?  

A research proposal¹ ,²  can be defined as a formal report that describes your proposed research, its objectives, methodology, implications, and other important details. Research proposals are the framework of your research and are used to obtain approvals or grants to conduct the study from various committees or organizations. Consequently, research proposals should convince readers of your study’s credibility, accuracy, achievability, practicality, and reproducibility.   

With research proposals , researchers usually aim to persuade the readers, funding agencies, educational institutions, and supervisors to approve the proposal. To achieve this, the report should be well structured with the objectives written in clear, understandable language devoid of jargon. A well-organized research proposal conveys to the readers or evaluators that the writer has thought out the research plan meticulously and has the resources to ensure timely completion.  

Purpose of Research Proposals  

A research proposal is a sales pitch and therefore should be detailed enough to convince your readers, who could be supervisors, ethics committees, universities, etc., that what you’re proposing has merit and is feasible . Research proposals can help students discuss their dissertation with their faculty or fulfill course requirements and also help researchers obtain funding. A well-structured proposal instills confidence among readers about your ability to conduct and complete the study as proposed.  

Research proposals can be written for several reasons:³  

• To describe the importance of research in the specific topic  
• Address any potential challenges you may encounter  
• Showcase knowledge in the field and your ability to conduct a study  
• Apply for a role at a research institute  
• Convince a research supervisor or university that your research can satisfy the requirements of a degree program  
• Highlight the importance of your research to organizations that may sponsor your project  
• Identify implications of your project and how it can benefit the audience  

What Goes in a Research Proposal?    

Research proposals should aim to answer the three basic questions—what, why, and how.  

The What question should be answered by describing the specific subject being researched. It should typically include the objectives, the cohort details, and the location or setting.  

The Why question should be answered by describing the existing scenario of the subject, listing unanswered questions, identifying gaps in the existing research, and describing how your study can address these gaps, along with the implications and significance.  

The How question should be answered by describing the proposed research methodology, data analysis tools expected to be used, and other details to describe your proposed methodology.   

Research Proposal Example  

Here is a research proposal sample template (with examples) from the University of Rochester Medical Center. 4 The sections in all research proposals are essentially the same although different terminology and other specific sections may be used depending on the subject.  

Structure of a Research Proposal  

If you want to know how to make a research proposal impactful, include the following components:¹  

1. Introduction  

This section provides a background of the study, including the research topic, what is already known about it and the gaps, and the significance of the proposed research.  

2. Literature review  

This section contains descriptions of all the previous relevant studies pertaining to the research topic. Every study cited should be described in a few sentences, starting with the general studies to the more specific ones. This section builds on the understanding gained by readers in the Introduction section and supports it by citing relevant prior literature, indicating to readers that you have thoroughly researched your subject.  

3. Objectives  

Once the background and gaps in the research topic have been established, authors must now state the aims of the research clearly. Hypotheses should be mentioned here. This section further helps readers understand what your study’s specific goals are.  

4. Research design and methodology  

Here, authors should clearly describe the methods they intend to use to achieve their proposed objectives. Important components of this section include the population and sample size, data collection and analysis methods and duration, statistical analysis software, measures to avoid bias (randomization, blinding), etc.  

5. Ethical considerations  

This refers to the protection of participants’ rights, such as the right to privacy, right to confidentiality, etc. Researchers need to obtain informed consent and institutional review approval by the required authorities and mention this clearly for transparency.  

6. Budget/funding  

Researchers should prepare their budget and include all expected expenditures. An additional allowance for contingencies such as delays should also be factored in.  

7. Appendices  

This section typically includes information that supports the research proposal and may include informed consent forms, questionnaires, participant information, measurement tools, etc.  

8. Citations  

Important Tips for Writing a Research Proposal  

Writing a research proposal begins much before the actual task of writing. Planning the research proposal structure and content is an important stage, which if done efficiently, can help you seamlessly transition into the writing stage. 3,5  

The Planning Stage  

• Manage your time efficiently. Plan to have the draft version ready at least two weeks before your deadline and the final version at least two to three days before the deadline.
• What is the primary objective of your research?  
• Will your research address any existing gap?  
• What is the impact of your proposed research?  
• Do people outside your field find your research applicable in other areas?  
• If your research is unsuccessful, would there still be other useful research outcomes?  

  The Writing Stage  

• Create an outline with main section headings that are typically used.  
• Focus only on writing and getting your points across without worrying about the format of the research proposal , grammar, punctuation, etc. These can be fixed during the subsequent passes. Add details to each section heading you created in the beginning.   
• Ensure your sentences are concise and use plain language. A research proposal usually contains about 2,000 to 4,000 words or four to seven pages.  
• Don’t use too many technical terms and abbreviations assuming that the readers would know them. Define the abbreviations and technical terms.  
• Ensure that the entire content is readable. Avoid using long paragraphs because they affect the continuity in reading. Break them into shorter paragraphs and introduce some white space for readability.  
• Focus on only the major research issues and cite sources accordingly. Don’t include generic information or their sources in the literature review.  
• Proofread your final document to ensure there are no grammatical errors so readers can enjoy a seamless, uninterrupted read.  
• Use academic, scholarly language because it brings formality into a document.  
• Ensure that your title is created using the keywords in the document and is neither too long and specific nor too short and general.  
• Cite all sources appropriately to avoid plagiarism.  
• Make sure that you follow guidelines, if provided. This includes rules as simple as using a specific font or a hyphen or en dash between numerical ranges.  
• Ensure that you’ve answered all questions requested by the evaluating authority.  

Key Takeaways   

Here’s a summary of the main points about research proposals discussed in the previous sections:  

• A research proposal is a document that outlines the details of a proposed study and is created by researchers to submit to evaluators who could be research institutions, universities, faculty, etc.  
• Research proposals are usually about 2,000-4,000 words long, but this depends on the evaluating authority’s guidelines.  
• A good research proposal ensures that you’ve done your background research and assessed the feasibility of the research.  
• Research proposals have the following main sections—introduction, literature review, objectives, methodology, ethical considerations, and budget.  

Frequently Asked Questions  

Q1. How is a research proposal evaluated?  

A1. In general, most evaluators, including universities, broadly use the following criteria to evaluate research proposals . 6  

• Significance —Does the research address any important subject or issue, which may or may not be specific to the evaluator or university?  
• Content and design —Is the proposed methodology appropriate to answer the research question? Are the objectives clear and well aligned with the proposed methodology?  
• Sample size and selection —Is the target population or cohort size clearly mentioned? Is the sampling process used to select participants randomized, appropriate, and free of bias?  
• Timing —Are the proposed data collection dates mentioned clearly? Is the project feasible given the specified resources and timeline?  
• Data management and dissemination —Who will have access to the data? What is the plan for data analysis?  

Q2. What is the difference between the Introduction and Literature Review sections in a research proposal ?  

A2. The Introduction or Background section in a research proposal sets the context of the study by describing the current scenario of the subject and identifying the gaps and need for the research. A Literature Review, on the other hand, provides references to all prior relevant literature to help corroborate the gaps identified and the research need.  

Q3. How long should a research proposal be?  

A3. Research proposal lengths vary with the evaluating authority like universities or committees and also the subject. Here’s a table that lists the typical research proposal lengths for a few universities.  

Q4. What are the common mistakes to avoid in a research proposal ?  

A4. Here are a few common mistakes that you must avoid while writing a research proposal . 7  

• No clear objectives: Objectives should be clear, specific, and measurable for the easy understanding among readers.  
• Incomplete or unconvincing background research: Background research usually includes a review of the current scenario of the particular industry and also a review of the previous literature on the subject. This helps readers understand your reasons for undertaking this research because you identified gaps in the existing research.  
• Overlooking project feasibility: The project scope and estimates should be realistic considering the resources and time available.   
• Neglecting the impact and significance of the study: In a research proposal , readers and evaluators look for the implications or significance of your research and how it contributes to the existing research. This information should always be included.  
• Unstructured format of a research proposal : A well-structured document gives confidence to evaluators that you have read the guidelines carefully and are well organized in your approach, consequently affirming that you will be able to undertake the research as mentioned in your proposal.  
• Ineffective writing style: The language used should be formal and grammatically correct. If required, editors could be consulted, including AI-based tools such as Paperpal , to refine the research proposal structure and language.  

Thus, a research proposal is an essential document that can help you promote your research and secure funds and grants for conducting your research. Consequently, it should be well written in clear language and include all essential details to convince the evaluators of your ability to conduct the research as proposed.  

This article has described all the important components of a research proposal and has also provided tips to improve your writing style. We hope all these tips will help you write a well-structured research proposal to ensure receipt of grants or any other purpose.  

References  

• Sudheesh K, Duggappa DR, Nethra SS. How to write a research proposal? Indian J Anaesth. 2016;60(9):631-634. Accessed July 15, 2024. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5037942/  
• Writing research proposals. Harvard College Office of Undergraduate Research and Fellowships. Harvard University. Accessed July 14, 2024. https://uraf.harvard.edu/apply-opportunities/app-components/essays/research-proposals  
• What is a research proposal? Plus how to write one. Indeed website. Accessed July 17, 2024. https://www.indeed.com/career-advice/career-development/research-proposal  
• Research proposal template. University of Rochester Medical Center. Accessed July 16, 2024. https://www.urmc.rochester.edu/MediaLibraries/URMCMedia/pediatrics/research/documents/Research-proposal-Template.pdf  
• Tips for successful proposal writing. Johns Hopkins University. Accessed July 17, 2024. https://research.jhu.edu/wp-content/uploads/2018/09/Tips-for-Successful-Proposal-Writing.pdf  
• Formal review of research proposals. Cornell University. Accessed July 18, 2024. https://irp.dpb.cornell.edu/surveys/survey-assessment-review-group/research-proposals  
• 7 Mistakes you must avoid in your research proposal. Aveksana (via LinkedIn). Accessed July 17, 2024. https://www.linkedin.com/pulse/7-mistakes-you-must-avoid-your-research-proposal-aveksana-cmtwf/  

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Part 2: Conceptualizing your research project

9. Writing your research question

Chapter outline.

• Empirical vs. ethical questions (4 minute read)
• Characteristics of a good research question (4 minute read)
• Quantitative research questions (7 minute read)
• Qualitative research questions (3 minute read)
• Evaluating and updating your research questions (4 minute read)

Content warning: examples in this chapter include references to sexual violence, sexism, substance use disorders, homelessness, domestic violence, the child welfare system, cissexism and heterosexism, and truancy and school discipline.

9.1 Empirical vs. ethical questions

Learning objectives.

Learners will be able to…

• Define empirical questions and provide an example
• Define ethical questions and provide an example

Writing a good research question is an art and a science. It is a science because you have to make sure it is clear, concise, and well-developed. It is an art because often your language needs “wordsmithing” to perfect and clarify the meaning. This is an exciting part of the research process; however, it can also be one of the most stressful.

Creating a good research question begins by identifying a topic you are interested in studying. At this point, you already have a working question. You’ve been applying it to the exercises in each chapter, and after reading more about your topic in the scholarly literature, you’ve probably gone back and revised your working question a few times. We’re going to continue that process in more detail in this chapter. Keep in mind that writing research questions is an iterative process, with revisions happening week after week until you are ready to start your project.

Empirical vs. ethical questions

When it comes to research questions, social science is best equipped to answer empirical questions —those that can be answered by real experience in the real world—as opposed to  ethical questions —questions about which people have moral opinions and that may not be answerable in reference to the real world. While social workers have explicit ethical obligations (e.g., service, social justice), research projects ask empirical questions to help actualize and support the work of upholding those ethical principles.

In order to help you better understand the difference between ethical and empirical questions, let’s consider a topic about which people have moral opinions. How about SpongeBob SquarePants? [1] In early 2005, members of the conservative Christian group Focus on the Family (2005) [2] denounced this seemingly innocuous cartoon character as “morally offensive” because they perceived his character to be one that promotes a “pro-gay agenda.” Focus on the Family supported their claim that SpongeBob is immoral by citing his appearance in a children’s video designed to promote tolerance of all family forms (BBC News, 2005). [3] They also cited SpongeBob’s regular hand-holding with his male sidekick Patrick as further evidence of his immorality.

So, can we now conclude that SpongeBob SquarePants is immoral? Not so fast. While your mother or a newspaper or television reporter may provide an answer, a social science researcher cannot. Questions of morality are ethical, not empirical. Of course, this doesn’t mean that social science researchers cannot study opinions about or social meanings surrounding SpongeBob SquarePants (Carter, 2010). [4] We study humans after all, and as you will discover in the following chapters of this textbook, we are trained to utilize a variety of scientific data-collection techniques to understand patterns of human beliefs and behaviors. Using these techniques, we could find out how many people in the United States find SpongeBob morally reprehensible, but we could never learn, empirically, whether SpongeBob is in fact morally reprehensible.

Let’s consider an example from a recent MSW research class I taught. A student group wanted to research the penalties for sexual assault. Their original research question was: “How can prison sentences for sexual assault be so much lower than the penalty for drug possession?” Outside of the research context, that is a darn good question! It speaks to how the War on Drugs and the patriarchy have distorted the criminal justice system towards policing of drug crimes over gender-based violence.

Unfortunately, it is an ethical question, not an empirical one. To answer that question, you would have to draw on philosophy and morality, answering what it is about human nature and society that allows such unjust outcomes. However, you could not answer that question by gathering data about people in the real world. If I asked people that question, they would likely give me their opinions about drugs, gender-based violence, and the criminal justice system. But I wouldn’t get the real answer about why our society tolerates such an imbalance in punishment.

As the students worked on the project through the semester, they continued to focus on the topic of sexual assault in the criminal justice system. Their research question became more empirical because they read more empirical articles about their topic. One option that they considered was to evaluate intervention programs for perpetrators of sexual assault to see if they reduced the likelihood of committing sexual assault again. Another option they considered was seeing if counties or states with higher than average jail sentences for sexual assault perpetrators had lower rates of re-offense for sexual assault. These projects addressed the ethical question of punishing perpetrators of sexual violence but did so in a way that gathered and analyzed empirical real-world data. Our job as social work researchers is to gather social facts about social work issues, not to judge or determine morality.

Key Takeaways

• Empirical questions are distinct from ethical questions.
• There are usually a number of ethical questions and a number of empirical questions that could be asked about any single topic.
• While social workers may research topics about which people have moral opinions, a researcher’s job is to gather and analyze empirical data.
• Take a look at your working question. Make sure you have an empirical question, not an ethical one. To perform this check, describe how you could find an answer to your question by conducting a study, like a survey or focus group, with real people.

9.2 Characteristics of a good research question

• Identify and explain the key features of a good research question
• Explain why it is important for social workers to be focused and clear with the language they use in their research questions

Now that you’ve made sure your working question is empirical, you need to revise that working question into a formal research question. So, what makes a good research question? First, it is generally written in the form of a question. To say that your research question is “the opioid epidemic” or “animal assisted therapy” or “oppression” would not be correct. You need to frame your topic as a question, not a statement. A good research question is also one that is well-focused. A well-focused question helps you tune out irrelevant information and not try to answer everything about the world all at once. You could be the most eloquent writer in your class, or even in the world, but if the research question about which you are writing is unclear, your work will ultimately lack direction.

In addition to being written in the form of a question and being well-focused, a good research question is one that cannot be answered with a simple yes or no. For example, if your interest is in gender norms, you could ask, “Does gender affect a person’s performance of household tasks?” but you will have nothing left to say once you discover your yes or no answer. Instead, why not ask, about the relationship between gender and household tasks. Alternatively, maybe we are interested in how or to what extent gender affects a person’s contributions to housework in a marriage? By tweaking your question in this small way, you suddenly have a much more fascinating question and more to say as you attempt to answer it.

A good research question should also have more than one plausible answer. In the example above, the student who studied the relationship between gender and household tasks had a specific interest in the impact of gender, but she also knew that preferences might be impacted by other factors. For example, she knew from her own experience that her more traditional and socially conservative friends were more likely to see household tasks as part of the female domain, and were less likely to expect their male partners to contribute to those tasks. Thinking through the possible relationships between gender, culture, and household tasks led that student to realize that there were many plausible answers to her questions about how  gender affects a person’s contribution to household tasks. Because gender doesn’t exist in a vacuum, she wisely felt that she needed to consider other characteristics that work together with gender to shape people’s behaviors, likes, and dislikes. By doing this, the student considered the third feature of a good research question–she thought about relationships between several concepts. While she began with an interest in a single concept—household tasks—by asking herself what other concepts (such as gender or political orientation) might be related to her original interest, she was able to form a question that considered the relationships  among  those concepts.

This student had one final component to consider. Social work research questions must contain a target population. Her study would be very different if she were to conduct it on older adults or immigrants who just arrived in a new country. The target population is the group of people whose needs your study addresses. Maybe the student noticed issues with household tasks as part of her social work practice with first-generation immigrants, and so she made it her target population. Maybe she wants to address the needs of another community. Whatever the case, the target population should be chosen while keeping in mind social work’s responsibility to work on behalf of marginalized and oppressed groups.

In sum, a good research question generally has the following features:

• It is written in the form of a question
• It is clearly written
• It cannot be answered with “yes” or “no”
• It has more than one plausible answer
• It considers relationships among multiple variables
• It is specific and clear about the concepts it addresses
• It includes a target population
• A poorly focused research question can lead to the demise of an otherwise well-executed study.
• Research questions should be clearly worded, consider relationships between multiple variables, have more than one plausible answer, and address the needs of a target population.

Okay, it’s time to write out your first draft of a research question.

• Once you’ve done so, take a look at the checklist in this chapter and see if your research question meets the criteria to be a good one.

Brainstorm whether your research question might be better suited to quantitative or qualitative methods.

• Describe why your question fits better with quantitative or qualitative methods.
• Provide an alternative research question that fits with the other type of research method.

9.3 Quantitative research questions

• Describe how research questions for exploratory, descriptive, and explanatory quantitative questions differ and how to phrase them
• Identify the differences between and provide examples of strong and weak explanatory research questions

Quantitative descriptive questions

The type of research you are conducting will impact the research question that you ask. Probably the easiest questions to think of are quantitative descriptive questions. For example, “What is the average student debt load of MSW students?” is a descriptive question—and an important one. We aren’t trying to build a causal relationship here. We’re simply trying to describe how much debt MSW students carry. Quantitative descriptive questions like this one are helpful in social work practice as part of community scans, in which human service agencies survey the various needs of the community they serve. If the scan reveals that the community requires more services related to housing, child care, or day treatment for people with disabilities, a nonprofit office can use the community scan to create new programs that meet a defined community need.

Quantitative descriptive questions will often ask for percentage, count the number of instances of a phenomenon, or determine an average. Descriptive questions may only include one variable, such as ours about student debt load, or they may include multiple variables. Because these are descriptive questions, our purpose is not to investigate causal relationships between variables. To do that, we need to use a quantitative explanatory question.

Quantitative explanatory questions

Most studies you read in the academic literature will be quantitative and explanatory. Why is that? If you recall from Chapter 2 , explanatory research tries to build nomothetic causal relationships. They are generalizable across space and time, so they are applicable to a wide audience. The editorial board of a journal wants to make sure their content will be useful to as many people as possible, so it’s not surprising that quantitative research dominates the academic literature.

Structurally, quantitative explanatory questions must contain an independent variable and dependent variable. Questions should ask about the relationship between these variables. The standard format I was taught in graduate school for an explanatory quantitative research question is: “What is the relationship between [independent variable] and [dependent variable] for [target population]?” You should play with the wording for your research question, revising that standard format to match what you really want to know about your topic.

Let’s take a look at a few more examples of possible research questions and consider the relative strengths and weaknesses of each. Table 9.1 does just that. While reading the table, keep in mind that I have only noted what I view to be the most relevant strengths and weaknesses of each question. Certainly each question may have additional strengths and weaknesses not noted in the table. Each of these questions is drawn from student projects in my research methods classes and reflects the work of many students on their research question over many weeks.

Making it more specific

A good research question should also be specific and clear about the concepts it addresses. A student investigating gender and household tasks knows what they mean by “household tasks.” You likely also have an impression of what “household tasks” means. But are your definition and the student’s definition the same? A participant in their study may think that managing finances and performing home maintenance are household tasks, but the researcher may be interested in other tasks like childcare or cleaning. The only way to ensure your study stays focused and clear is to be specific about what you mean by a concept. The student in our example could pick a specific household task that was interesting to them or that the literature indicated was important—for example, childcare. Or, the student could have a broader view of household tasks, one that encompasses childcare, food preparation, financial management, home repair, and care for relatives. Any option is probably okay, as long as the researcher is clear on what they mean by “household tasks.” Clarifying these distinctions is important as we look ahead to specifying how your variables will be measured in Chapter 11 .

Table 9.2 contains some “watch words” that indicate you may need to be more specific about the concepts in your research question.

It can be challenging to be this specific in social work research, particularly when you are just starting out your project and still reading the literature. If you’ve only read one or two articles on your topic, it can be hard to know what you are interested in studying. Broad questions like “What are the causes of chronic homelessness, and what can be done to prevent it?” are common at the beginning stages of a research project as working questions. However, moving from working questions to research questions in your research proposal requires that you examine the literature on the topic and refine your question over time to be more specific and clear. Perhaps you want to study the effect of a specific anti-homelessness program that you found in the literature. Maybe there is a particular model to fighting homelessness, like Housing First or transitional housing, that you want to investigate further. You may want to focus on a potential cause of homelessness such as LGBTQ+ discrimination that you find interesting or relevant to your practice. As you can see, the possibilities for making your question more specific are almost infinite.

Quantitative exploratory questions

In exploratory research, the researcher doesn’t quite know the lay of the land yet. If someone is proposing to conduct an exploratory quantitative project, the watch words highlighted in Table 9.2 are not problematic at all. In fact, questions such as “What factors influence the removal of children in child welfare cases?” are good because they will explore a variety of factors or causes. In this question, the independent variable is less clearly written, but the dependent variable, family preservation outcomes, is quite clearly written. The inverse can also be true. If we were to ask, “What outcomes are associated with family preservation services in child welfare?”, we would have a clear independent variable, family preservation services, but an unclear dependent variable, outcomes. Because we are only conducting exploratory research on a topic, we may not have an idea of what concepts may comprise our “outcomes” or “factors.” Only after interacting with our participants will we be able to understand which concepts are important.

Remember that exploratory research is appropriate only when the researcher does not know much about topic because there is very little scholarly research. In our examples above, there is extensive literature on the outcomes in family reunification programs and risk factors for child removal in child welfare. Make sure you’ve done a thorough literature review to ensure there is little relevant research to guide you towards a more explanatory question.

• Descriptive quantitative research questions are helpful for community scans but cannot investigate causal relationships between variables.
• Explanatory quantitative research questions must include an independent and dependent variable.
• Exploratory quantitative research questions should only be considered when there is very little previous research on your topic.
• Identify the type of research you are engaged in (descriptive, explanatory, or exploratory).
• Create a quantitative research question for your project that matches with the type of research you are engaged in.

Preferably, you should be creating an explanatory research question for quantitative research.

9.4 Qualitative research questions

• List the key terms associated with qualitative research questions
• Distinguish between qualitative and quantitative research questions

Qualitative research questions differ from quantitative research questions. Because qualitative research questions seek to explore or describe phenomena, not provide a neat nomothetic explanation, they are often more general and openly worded. They may include only one concept, though many include more than one. Instead of asking how one variable causes changes in another, we are instead trying to understand the experiences ,  understandings , and  meanings that people have about the concepts in our research question. These keywords often make an appearance in qualitative research questions.

Let’s work through an example from our last section. In Table 9.1, a student asked, “What is the relationship between sexual orientation or gender identity and homelessness for late adolescents in foster care?” In this question, it is pretty clear that the student believes that adolescents in foster care who identify as LGBTQ+ may be at greater risk for homelessness. This is a nomothetic causal relationship—LGBTQ+ status causes changes in homelessness.

However, what if the student were less interested in  predicting  homelessness based on LGBTQ+ status and more interested in  understanding  the stories of foster care youth who identify as LGBTQ+ and may be at risk for homelessness? In that case, the researcher would be building an idiographic causal explanation . The youths whom the researcher interviews may share stories of how their foster families, caseworkers, and others treated them. They may share stories about how they thought of their own sexuality or gender identity and how it changed over time. They may have different ideas about what it means to transition out of foster care.

Because qualitative questions usually center on idiographic causal relationships, they look different than quantitative questions. Table 9.3 below takes the final research questions from Table 9.1 and adapts them for qualitative research. The guidelines for research questions previously described in this chapter still apply, but there are some new elements to qualitative research questions that are not present in quantitative questions.

• Qualitative research questions often ask about lived experience, personal experience, understanding, meaning, and stories.
• Qualitative research questions may be more general and less specific.
• Qualitative research questions may also contain only one variable, rather than asking about relationships between multiple variables.

Qualitative research questions have one final feature that distinguishes them from quantitative research questions: they can change over the course of a study. Qualitative research is a reflexive process, one in which the researcher adapts their approach based on what participants say and do. The researcher must constantly evaluate whether their question is important and relevant to the participants. As the researcher gains information from participants, it is normal for the focus of the inquiry to shift.

For example, a qualitative researcher may want to study how a new truancy rule impacts youth at risk of expulsion. However, after interviewing some of the youth in their community, a researcher might find that the rule is actually irrelevant to their behavior and thoughts. Instead, their participants will direct the discussion to their frustration with the school administrators or the lack of job opportunities in the area. This is a natural part of qualitative research, and it is normal for research questions and hypothesis to evolve based on information gleaned from participants.

However, this reflexivity and openness unacceptable in quantitative research for good reasons. Researchers using quantitative methods are testing a hypothesis, and if they could revise that hypothesis to match what they found, they could never be wrong! Indeed, an important component of open science and reproducability is the preregistration of a researcher’s hypotheses and data analysis plan in a central repository that can be verified and replicated by reviewers and other researchers. This interactive graphic from 538 shows how an unscrupulous research could come up with a hypothesis and theoretical explanation  after collecting data by hunting for a combination of factors that results in a statistically significant relationship. This is an excellent example of how the positivist assumptions behind quantitative research and intepretivist assumptions behind qualitative research result in different approaches to social science.

• Qualitative research questions often contain words or phrases like “lived experience,” “personal experience,” “understanding,” “meaning,” and “stories.”
• Qualitative research questions can change and evolve over the course of the study.
• Using the guidance in this chapter, write a qualitative research question. You may want to use some of the keywords mentioned above.

9.5 Evaluating and updating your research questions

• Evaluate the feasibility and importance of your research questions
• Begin to match your research questions to specific designs that determine what the participants in your study will do

Feasibility and importance

As you are getting ready to finalize your research question and move into designing your research study, it is important to check whether your research question is feasible for you to answer and what importance your results will have in the community, among your participants, and in the scientific literature

Key questions to consider when evaluating your question’s feasibility include:

• Do you have access to the data you need?
• Will you be able to get consent from stakeholders, gatekeepers, and others?
• Does your project pose risk to individuals through direct harm, dual relationships, or breaches in confidentiality? (see Chapter 6 for more ethical considerations)
• Are you competent enough to complete the study?
• Do you have the resources and time needed to carry out the project?

Key questions to consider when evaluating the importance of your question include:

• Can we answer your research question simply by looking at the literature on your topic?
• How does your question add something new to the scholarly literature? (raises a new issue, addresses a controversy, studies a new population, etc.)
• How will your target population benefit, once you answer your research question?
• How will the community, social work practice, and the broader social world benefit, once you answer your research question?
• Using the questions above, check whether you think your project is feasible for you to complete, given the constrains that student projects face.
• Realistically, explore the potential impact of your project on the community and in the scientific literature. Make sure your question cannot be answered by simply reading more about your topic.

Matching your research question and study design

This chapter described how to create a good quantitative and qualitative research question. In Parts 3 and 4 of this textbook, we will detail some of the basic designs like surveys and interviews that social scientists use to answer their research questions. But which design should you choose?

As with most things, it all depends on your research question. If your research question involves, for example, testing a new intervention, you will likely want to use an experimental design. On the other hand, if you want to know the lived experience of people in a public housing building, you probably want to use an interview or focus group design.

We will learn more about each one of these designs in the remainder of this textbook. We will also learn about using data that already exists, studying an individual client inside clinical practice, and evaluating programs, which are other examples of designs. Below is a list of designs we will cover in this textbook:

• Surveys: online, phone, mail, in-person
• Experiments: classic, pre-experiments, quasi-experiments
• Interviews: in-person or via phone or videoconference
• Focus groups: in-person or via videoconference
• Content analysis of existing data
• Secondary data analysis of another researcher’s data
• Program evaluation

The design of your research study determines what you and your participants will do. In an experiment, for example, the researcher will introduce a stimulus or treatment to participants and measure their responses. In contrast, a content analysis may not have participants at all, and the researcher may simply read the marketing materials for a corporation or look at a politician’s speeches to conduct the data analysis for the study.

I imagine that a content analysis probably seems easier to accomplish than an experiment. However, as a researcher, you have to choose a research design that makes sense for your question and that is feasible to complete with the resources you have. All research projects require some resources to accomplish. Make sure your design is one you can carry out with the resources (time, money, staff, etc.) that you have.

There are so many different designs that exist in the social science literature that it would be impossible to include them all in this textbook. The purpose of the subsequent chapters is to help you understand the basic designs upon which these more advanced designs are built. As you learn more about research design, you will likely find yourself revising your research question to make sure it fits with the design. At the same time, your research question as it exists now should influence the design you end up choosing. There is no set order in which these should happen. Instead, your research project should be guided by whether you can feasibly carry it out and contribute new and important knowledge to the world.

• Research questions must be feasible and important.
• Research questions must match study design.
• Based on what you know about designs like surveys, experiments, and interviews, describe how you might use one of them to answer your research question.
• You may want to refer back to Chapter 2 which discusses how to get raw data about your topic and the common designs used in student research projects.

Media Attributions

• patrick-starfish-2062906_1920 © Inspired Images is licensed under a CC0 (Creative Commons Zero) license
• financial-2860753_1920 © David Schwarzenberg is licensed under a CC0 (Creative Commons Zero) license
• target-group-3460039_1920 © Gerd Altmann is licensed under a CC0 (Creative Commons Zero) license
• Not familiar with SpongeBob SquarePants? You can learn more about him on Nickelodeon’s site dedicated to all things SpongeBob:  http://www.nick.com/spongebob-squarepants/ ↵
• Focus on the Family. (2005, January 26). Focus on SpongeBob.  Christianity Today . Retrieved from  http://www.christianitytoday.com/ct/2005/januaryweb-only/34.0c.html ↵
• BBC News. (2005, January 20). US right attacks SpongeBob video. Retrieved from:  http://news.bbc.co.uk/2/hi/americas/4190699.stm ↵
• In fact, an MA thesis examines representations of gender and relationships in the cartoon: Carter, A. C. (2010).  Constructing gender and   relationships in “SpongeBob SquarePants”: Who lives in a pineapple under the sea . MA thesis, Department of Communication, University of South Alabama, Mobile, AL. ↵

research questions that can be answered by systematically observing the real world

unsuitable research questions which are not answerable by systematic observation of the real world but instead rely on moral or philosophical opinions

the group of people whose needs your study addresses

attempts to explain or describe your phenomenon exhaustively, based on the subjective understandings of your participants

"Assuming that the null hypothesis is true and the study is repeated an infinite number times by drawing random samples from the same populations(s), less than 5% of these results will be more extreme than the current result" (Cassidy et al., 2019, p. 233).

whether you can practically and ethically complete the research project you propose

the impact your study will have on participants, communities, scientific knowledge, and social justice

Graduate research methods in social work Copyright © 2021 by Matthew DeCarlo, Cory Cummings, Kate Agnelli is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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Admin actions ¶

The basic workflow of Django’s admin is, in a nutshell, “select an object, then change it.” This works well for a majority of use cases. However, if you need to make the same change to many objects at once, this workflow can be quite tedious.

In these cases, Django’s admin lets you write and register “actions” – functions that get called with a list of objects selected on the change list page.

If you look at any change list in the admin, you’ll see this feature in action; Django ships with a “delete selected objects” action available to all models. For example, here’s the user module from Django’s built-in django.contrib.auth app:

The “delete selected objects” action uses QuerySet.delete() for efficiency reasons, which has an important caveat: your model’s delete() method will not be called.

If you wish to override this behavior, you can override ModelAdmin.delete_queryset() or write a custom action which does deletion in your preferred manner – for example, by calling Model.delete() for each of the selected items.

For more background on bulk deletion, see the documentation on object deletion .

Read on to find out how to add your own actions to this list.

Writing actions ¶

The easiest way to explain actions is by example, so let’s dive in.

A common use case for admin actions is the bulk updating of a model. Imagine a news application with an Article model:

A common task we might perform with a model like this is to update an article’s status from “draft” to “published”. We could easily do this in the admin one article at a time, but if we wanted to bulk-publish a group of articles, it’d be tedious. So, let’s write an action that lets us change an article’s status to “published.”

Writing action functions ¶

First, we’ll need to write a function that gets called when the action is triggered from the admin. Action functions are regular functions that take three arguments:

• The current ModelAdmin
• An HttpRequest representing the current request,
• A QuerySet containing the set of objects selected by the user.

Our publish-these-articles function won’t need the ModelAdmin or the request object, but we will use the queryset:

For the best performance, we’re using the queryset’s update method . Other types of actions might need to deal with each object individually; in these cases we’d iterate over the queryset:

That’s actually all there is to writing an action! However, we’ll take one more optional-but-useful step and give the action a “nice” title in the admin. By default, this action would appear in the action list as “Make published” – the function name, with underscores replaced by spaces. That’s fine, but we can provide a better, more human-friendly name by using the action() decorator on the make_published function:

This might look familiar; the admin’s list_display option uses a similar technique with the display() decorator to provide human-readable descriptions for callback functions registered there, too.

Adding actions to the ModelAdmin ¶

Next, we’ll need to inform our ModelAdmin of the action. This works just like any other configuration option. So, the complete admin.py with the action and its registration would look like:

That code will give us an admin change list that looks something like this:

That’s really all there is to it! If you’re itching to write your own actions, you now know enough to get started. The rest of this document covers more advanced techniques.

Handling errors in actions ¶

If there are foreseeable error conditions that may occur while running your action, you should gracefully inform the user of the problem. This means handling exceptions and using django.contrib.admin.ModelAdmin.message_user() to display a user friendly description of the problem in the response.

Advanced action techniques ¶

There’s a couple of extra options and possibilities you can exploit for more advanced options.

Actions as ModelAdmin methods ¶

The example above shows the make_published action defined as a function. That’s perfectly fine, but it’s not perfect from a code design point of view: since the action is tightly coupled to the Article object, it makes sense to hook the action to the ArticleAdmin object itself.

You can do it like this:

Notice first that we’ve moved make_published into a method and renamed the modeladmin parameter to self , and second that we’ve now put the string 'make_published' in actions instead of a direct function reference. This tells the ModelAdmin to look up the action as a method.

Defining actions as methods gives the action more idiomatic access to the ModelAdmin itself, allowing the action to call any of the methods provided by the admin.

For example, we can use self to flash a message to the user informing them that the action was successful:

This make the action match what the admin itself does after successfully performing an action:

Actions that provide intermediate pages ¶

By default, after an action is performed the user is redirected back to the original change list page. However, some actions, especially more complex ones, will need to return intermediate pages. For example, the built-in delete action asks for confirmation before deleting the selected objects.

To provide an intermediary page, return an HttpResponse (or subclass) from your action. For example, you might write an export function that uses Django’s serialization functions to dump some selected objects as JSON:

Generally, something like the above isn’t considered a great idea. Most of the time, the best practice will be to return an HttpResponseRedirect and redirect the user to a view you’ve written, passing the list of selected objects in the GET query string. This allows you to provide complex interaction logic on the intermediary pages. For example, if you wanted to provide a more complete export function, you’d want to let the user choose a format, and possibly a list of fields to include in the export. The best thing to do would be to write a small action that redirects to your custom export view:

As you can see, the action is rather short; all the complex logic would belong in your export view. This would need to deal with objects of any type, hence the business with the ContentType .

Writing this view is left as an exercise to the reader.

Making actions available site-wide ¶

Some actions are best if they’re made available to any object in the admin site – the export action defined above would be a good candidate. You can make an action globally available using AdminSite.add_action() . For example:

This makes the export_selected_objects action globally available as an action named “export_selected_objects”. You can explicitly give the action a name – good if you later want to programmatically remove the action – by passing a second argument to AdminSite.add_action() :

Disabling actions ¶

Sometimes you need to disable certain actions – especially those registered site-wide – for particular objects. There’s a few ways you can disable actions:

Disabling a site-wide action ¶

If you need to disable a site-wide action you can call AdminSite.disable_action() .

For example, you can use this method to remove the built-in “delete selected objects” action:

Once you’ve done the above, that action will no longer be available site-wide.

If, however, you need to reenable a globally-disabled action for one particular model, list it explicitly in your ModelAdmin.actions list:

Disabling all actions for a particular ModelAdmin ¶

If you want no bulk actions available for a given ModelAdmin , set ModelAdmin.actions to None :

This tells the ModelAdmin to not display or allow any actions, including any site-wide actions .

Conditionally enabling or disabling actions ¶

Finally, you can conditionally enable or disable actions on a per-request (and hence per-user basis) by overriding ModelAdmin.get_actions() .

This returns a dictionary of actions allowed. The keys are action names, and the values are (function, name, short_description) tuples.

For example, if you only want users whose names begin with ‘J’ to be able to delete objects in bulk:

Setting permissions for actions ¶

Actions may limit their availability to users with specific permissions by wrapping the action function with the action() decorator and passing the permissions argument:

The make_published() action will only be available to users that pass the ModelAdmin.has_change_permission() check.

If permissions has more than one permission, the action will be available as long as the user passes at least one of the checks.

Available values for permissions and the corresponding method checks are:

• 'add' : ModelAdmin.has_add_permission()
• 'change' : ModelAdmin.has_change_permission()
• 'delete' : ModelAdmin.has_delete_permission()
• 'view' : ModelAdmin.has_view_permission()

You can specify any other value as long as you implement a corresponding has_<value>_permission(self, request) method on the ModelAdmin .

For example:

The action decorator ¶

This decorator can be used for setting specific attributes on custom action functions that can be used with actions :

This is equivalent to setting some attributes (with the original, longer names) on the function directly:

Use of this decorator is not compulsory to make an action function, but it can be useful to use it without arguments as a marker in your source to identify the purpose of the function:

In this case it will add no attributes to the function.

Action descriptions are %-formatted and may contain '%(verbose_name)s' and '%(verbose_name_plural)s' placeholders, which are replaced, respectively, by the model’s verbose_name and verbose_name_plural .

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• Writing action functions
• Adding actions to the ModelAdmin
• Handling errors in actions
• Actions as ModelAdmin methods
• Actions that provide intermediate pages
• Making actions available site-wide
• Disabling a site-wide action
• Disabling all actions for a particular ModelAdmin
• Conditionally enabling or disabling actions
• Setting permissions for actions
• The action decorator
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