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Types of Research – Explained with Examples

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  • By DiscoverPhDs
  • October 2, 2020

Types of Research Design

Types of Research

Research is about using established methods to investigate a problem or question in detail with the aim of generating new knowledge about it.

It is a vital tool for scientific advancement because it allows researchers to prove or refute hypotheses based on clearly defined parameters, environments and assumptions. Due to this, it enables us to confidently contribute to knowledge as it allows research to be verified and replicated.

Knowing the types of research and what each of them focuses on will allow you to better plan your project, utilises the most appropriate methodologies and techniques and better communicate your findings to other researchers and supervisors.

Classification of Types of Research

There are various types of research that are classified according to their objective, depth of study, analysed data, time required to study the phenomenon and other factors. It’s important to note that a research project will not be limited to one type of research, but will likely use several.

According to its Purpose

Theoretical research.

Theoretical research, also referred to as pure or basic research, focuses on generating knowledge , regardless of its practical application. Here, data collection is used to generate new general concepts for a better understanding of a particular field or to answer a theoretical research question.

Results of this kind are usually oriented towards the formulation of theories and are usually based on documentary analysis, the development of mathematical formulas and the reflection of high-level researchers.

Applied Research

Here, the goal is to find strategies that can be used to address a specific research problem. Applied research draws on theory to generate practical scientific knowledge, and its use is very common in STEM fields such as engineering, computer science and medicine.

This type of research is subdivided into two types:

  • Technological applied research : looks towards improving efficiency in a particular productive sector through the improvement of processes or machinery related to said productive processes.
  • Scientific applied research : has predictive purposes. Through this type of research design, we can measure certain variables to predict behaviours useful to the goods and services sector, such as consumption patterns and viability of commercial projects.

Methodology Research

According to your Depth of Scope

Exploratory research.

Exploratory research is used for the preliminary investigation of a subject that is not yet well understood or sufficiently researched. It serves to establish a frame of reference and a hypothesis from which an in-depth study can be developed that will enable conclusive results to be generated.

Because exploratory research is based on the study of little-studied phenomena, it relies less on theory and more on the collection of data to identify patterns that explain these phenomena.

Descriptive Research

The primary objective of descriptive research is to define the characteristics of a particular phenomenon without necessarily investigating the causes that produce it.

In this type of research, the researcher must take particular care not to intervene in the observed object or phenomenon, as its behaviour may change if an external factor is involved.

Explanatory Research

Explanatory research is the most common type of research method and is responsible for establishing cause-and-effect relationships that allow generalisations to be extended to similar realities. It is closely related to descriptive research, although it provides additional information about the observed object and its interactions with the environment.

Correlational Research

The purpose of this type of scientific research is to identify the relationship between two or more variables. A correlational study aims to determine whether a variable changes, how much the other elements of the observed system change.

According to the Type of Data Used

Qualitative research.

Qualitative methods are often used in the social sciences to collect, compare and interpret information, has a linguistic-semiotic basis and is used in techniques such as discourse analysis, interviews, surveys, records and participant observations.

In order to use statistical methods to validate their results, the observations collected must be evaluated numerically. Qualitative research, however, tends to be subjective, since not all data can be fully controlled. Therefore, this type of research design is better suited to extracting meaning from an event or phenomenon (the ‘why’) than its cause (the ‘how’).

Quantitative Research

Quantitative research study delves into a phenomena through quantitative data collection and using mathematical, statistical and computer-aided tools to measure them . This allows generalised conclusions to be projected over time.

Types of Research Methodology

According to the Degree of Manipulation of Variables

Experimental research.

It is about designing or replicating a phenomenon whose variables are manipulated under strictly controlled conditions in order to identify or discover its effect on another independent variable or object. The phenomenon to be studied is measured through study and control groups, and according to the guidelines of the scientific method.

Non-Experimental Research

Also known as an observational study, it focuses on the analysis of a phenomenon in its natural context. As such, the researcher does not intervene directly, but limits their involvement to measuring the variables required for the study. Due to its observational nature, it is often used in descriptive research.

Quasi-Experimental Research

It controls only some variables of the phenomenon under investigation and is therefore not entirely experimental. In this case, the study and the focus group cannot be randomly selected, but are chosen from existing groups or populations . This is to ensure the collected data is relevant and that the knowledge, perspectives and opinions of the population can be incorporated into the study.

According to the Type of Inference

Deductive investigation.

In this type of research, reality is explained by general laws that point to certain conclusions; conclusions are expected to be part of the premise of the research problem and considered correct if the premise is valid and the inductive method is applied correctly.

Inductive Research

In this type of research, knowledge is generated from an observation to achieve a generalisation. It is based on the collection of specific data to develop new theories.

Hypothetical-Deductive Investigation

It is based on observing reality to make a hypothesis, then use deduction to obtain a conclusion and finally verify or reject it through experience.

Descriptive Research Design

According to the Time in Which it is Carried Out

Longitudinal study (also referred to as diachronic research).

It is the monitoring of the same event, individual or group over a defined period of time. It aims to track changes in a number of variables and see how they evolve over time. It is often used in medical, psychological and social areas .

Cross-Sectional Study (also referred to as Synchronous Research)

Cross-sectional research design is used to observe phenomena, an individual or a group of research subjects at a given time.

According to The Sources of Information

Primary research.

This fundamental research type is defined by the fact that the data is collected directly from the source, that is, it consists of primary, first-hand information.

Secondary research

Unlike primary research, secondary research is developed with information from secondary sources, which are generally based on scientific literature and other documents compiled by another researcher.

Action Research Methods

According to How the Data is Obtained

Documentary (cabinet).

Documentary research, or secondary sources, is based on a systematic review of existing sources of information on a particular subject. This type of scientific research is commonly used when undertaking literature reviews or producing a case study.

Field research study involves the direct collection of information at the location where the observed phenomenon occurs.

From Laboratory

Laboratory research is carried out in a controlled environment in order to isolate a dependent variable and establish its relationship with other variables through scientific methods.

Mixed-Method: Documentary, Field and/or Laboratory

Mixed research methodologies combine results from both secondary (documentary) sources and primary sources through field or laboratory research.

In Press Article

An In Press article is a paper that has been accepted for publication and is being prepared for print.

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Types of research papers

what are the different types of research projects

Analytical research paper

Argumentative or persuasive paper, definition paper, compare and contrast paper, cause and effect paper, interpretative paper, experimental research paper, survey research paper, frequently asked questions about the different types of research papers, related articles.

There are multiple different types of research papers. It is important to know which type of research paper is required for your assignment, as each type of research paper requires different preparation. Below is a list of the most common types of research papers.

➡️ Read more:  What is a research paper?

In an analytical research paper you:

  • pose a question
  • collect relevant data from other researchers
  • analyze their different viewpoints

You focus on the findings and conclusions of other researchers and then make a personal conclusion about the topic. It is important to stay neutral and not show your own negative or positive position on the matter.

The argumentative paper presents two sides of a controversial issue in one paper. It is aimed at getting the reader on the side of your point of view.

You should include and cite findings and arguments of different researchers on both sides of the issue, but then favor one side over the other and try to persuade the reader of your side. Your arguments should not be too emotional though, they still need to be supported with logical facts and statistical data.

Tip: Avoid expressing too much emotion in a persuasive paper.

The definition paper solely describes facts or objective arguments without using any personal emotion or opinion of the author. Its only purpose is to provide information. You should include facts from a variety of sources, but leave those facts unanalyzed.

Compare and contrast papers are used to analyze the difference between two:

Make sure to sufficiently describe both sides in the paper, and then move on to comparing and contrasting both thesis and supporting one.

Cause and effect papers are usually the first types of research papers that high school and college students write. They trace probable or expected results from a specific action and answer the main questions "Why?" and "What?", which reflect effects and causes.

In business and education fields, cause and effect papers will help trace a range of results that could arise from a particular action or situation.

An interpretative paper requires you to use knowledge that you have gained from a particular case study, for example a legal situation in law studies. You need to write the paper based on an established theoretical framework and use valid supporting data to back up your statement and conclusion.

This type of research paper basically describes a particular experiment in detail. It is common in fields like:

Experiments are aimed to explain a certain outcome or phenomenon with certain actions. You need to describe your experiment with supporting data and then analyze it sufficiently.

This research paper demands the conduction of a survey that includes asking questions to respondents. The conductor of the survey then collects all the information from the survey and analyzes it to present it in the research paper.

➡️ Ready to start your research paper? Take a look at our guide on how to start a research paper .

In an analytical research paper, you pose a question and then collect relevant data from other researchers to analyze their different viewpoints. You focus on the findings and conclusions of other researchers and then make a personal conclusion about the topic.

The definition paper solely describes facts or objective arguments without using any personal emotion or opinion of the author. Its only purpose is to provide information.

Cause and effect papers are usually the first types of research papers that high school and college students are confronted with. The answer questions like "Why?" and "What?", which reflect effects and causes. In business and education fields, cause and effect papers will help trace a range of results that could arise from a particular action or situation.

This type of research paper describes a particular experiment in detail. It is common in fields like biology, chemistry or physics. Experiments are aimed to explain a certain outcome or phenomenon with certain actions.

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A Comprehensive Guide to Different Types of Research

what are the different types of research projects

Updated: June 19, 2024

Published: June 15, 2024

two researchers working in a laboratory

When embarking on a research project, selecting the right methodology can be the difference between success and failure. With various methods available, each suited to different types of research, it’s essential you make an informed choice. This blog post will provide tips on how to choose a research methodology that best fits your research goals .

We’ll start with definitions: Research is the systematic process of exploring, investigating, and discovering new information or validating existing knowledge. It involves defining questions, collecting data, analyzing results, and drawing conclusions.

Meanwhile, a research methodology is a structured plan that outlines how your research is to be conducted. A complete methodology should detail the strategies, processes, and techniques you plan to use for your data collection and analysis.

 a computer keyboard being worked by a researcher

Research Methods

The first step of a research methodology is to identify a focused research topic, which is the question you seek to answer. By setting clear boundaries on the scope of your research, you can concentrate on specific aspects of a problem without being overwhelmed by information. This will produce more accurate findings. 

Along with clarifying your research topic, your methodology should also address your research methods. Let’s look at the four main types of research: descriptive, correlational, experimental, and diagnostic.

Descriptive Research

Descriptive research is an approach designed to describe the characteristics of a population systematically and accurately. This method focuses on answering “what” questions by providing detailed observations about the subject. Descriptive research employs surveys, observational studies , and case studies to gather qualitative or quantitative data. 

A real-world example of descriptive research is a survey investigating consumer behavior toward a competitor’s product. By analyzing the survey results, the company can gather detailed insights into how consumers perceive a competitor’s product, which can inform their marketing strategies and product development.

Correlational Research

Correlational research examines the statistical relationship between two or more variables to determine whether a relationship exists. Correlational research is particularly useful when ethical or practical constraints prevent experimental manipulation. It is often employed in fields such as psychology, education, and health sciences to provide insights into complex real-world interactions, helping to develop theories and inform further experimental research.

An example of correlational research is the study of the relationship between smoking and lung cancer. Researchers observe and collect data on individuals’ smoking habits and the incidence of lung cancer to determine if there is a correlation between the two variables. This type of research helps identify patterns and relationships, indicating whether increased smoking is associated with higher rates of lung cancer.

Experimental Research

Experimental research is a scientific approach where researchers manipulate one or more independent variables to observe their effect on a dependent variable. This method is designed to establish cause-and-effect relationships. Fields like psychology , medicine, and social sciences frequently employ experimental research to test hypotheses and theories under controlled conditions. 

A real-world example of experimental research is Pavlov’s Dog experiment. In this experiment, Ivan Pavlov demonstrated classical conditioning by ringing a bell each time he fed his dogs. After repeating this process multiple times, the dogs began to salivate just by hearing the bell, even when no food was presented. This experiment helped to illustrate how certain stimuli can elicit specific responses through associative learning.

Diagnostic Research

Diagnostic research tries to accurately diagnose a problem by identifying its underlying causes. This type of research is crucial for understanding complex situations where a precise diagnosis is necessary for formulating effective solutions. It involves methods such as case studies and data analysis and often integrates both qualitative and quantitative data to provide a comprehensive view of the issue at hand. 

An example of diagnostic research is studying the causes of a specific illness outbreak. During an outbreak of a respiratory virus, researchers might conduct diagnostic research to determine the factors contributing to the spread of the virus. This could involve analyzing patient data, testing environmental samples, and evaluating potential sources of infection. The goal is to identify the root causes and contributing factors to develop effective containment and prevention strategies.

Using an established research method is imperative, no matter if you are researching for marketing , technology , healthcare , engineering, or social science. A methodology lends legitimacy to your research by ensuring your data is both consistent and credible. A well-defined methodology also enhances the reliability and validity of the research findings, which is crucial for drawing accurate and meaningful conclusions. 

Additionally, methodologies help researchers stay focused and on track, limiting the scope of the study to relevant questions and objectives. This not only improves the quality of the research but also ensures that the study can be replicated and verified by other researchers, further solidifying its scientific value.

a graphical depiction of the wide possibilities of research

How to Choose a Research Methodology

Choosing the best research methodology for your project involves several key steps to ensure that your approach aligns with your research goals and questions. Here’s a simplified guide to help you make the best choice.

Understand Your Goals

Clearly define the objectives of your research. What do you aim to discover, prove, or understand? Understanding your goals helps in selecting a methodology that aligns with your research purpose.

Consider the Nature of Your Data

Determine whether your research will involve numerical data, textual data, or both. Quantitative methods are best for numerical data, while qualitative methods are suitable for textual or thematic data.

Understand the Purpose of Each Methodology

Becoming familiar with the four types of research – descriptive, correlational, experimental, and diagnostic – will enable you to select the most appropriate method for your research. Many times, you will want to use a combination of methods to gather meaningful data. 

Evaluate Resources and Constraints

Consider the resources available to you, including time, budget, and access to data. Some methodologies may require more resources or longer timeframes to implement effectively.

Review Similar Studies

Look at previous research in your field to see which methodologies were successful. This can provide insights and help you choose a proven approach.

By following these steps, you can select a research methodology that best fits your project’s requirements and ensures robust, credible results.

Completing Your Research Project

Upon completing your research, the next critical step is to analyze and interpret the data you’ve collected. This involves summarizing the key findings, identifying patterns, and determining how these results address your initial research questions. By thoroughly examining the data, you can draw meaningful conclusions that contribute to the body of knowledge in your field. 

It’s essential that you present these findings clearly and concisely, using charts, graphs, and tables to enhance comprehension. Furthermore, discuss the implications of your results, any limitations encountered during the study, and how your findings align with or challenge existing theories.

Your research project should conclude with a strong statement that encapsulates the essence of your research and its broader impact. This final section should leave readers with a clear understanding of the value of your work and inspire continued exploration and discussion in the field.

Now that you know how to perform quality research , it’s time to get started! Applying the right research methodologies can make a significant difference in the accuracy and reliability of your findings. Remember, the key to successful research is not just in collecting data, but in analyzing it thoughtfully and systematically to draw meaningful conclusions. So, dive in, explore, and contribute to the ever-growing body of knowledge with confidence. Happy researching!

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Types of Research – Tips and Examples

Published by Carmen Troy at August 16th, 2021 , Revised On May 8, 2024

“Research is an investigation conducted to seek knowledge and find solutions to scientific and social problems.”

It includes the collection of information from various sources. New research can contribute to existing knowledge.

The types of research can be categorised from the following perspectives;

  • Application of the study
  • Aim of the research
  • Mode of Inquiry
  • Research approach
Categories of Research Types of Research
Types of research according to the application perspective
Types of research according to the aims of the research
Types of research according to the mode of inquiry
Types of research according to the aims of the research approach

Types of Research According to the Application Perspective

The different types of research, according to the application perspective, include the following.

Basic Research

Primary research is conducted to increase knowledge. It is also known as theoretical research, pure research, and fundamental research. It provides in-depth knowledge about the scientific and logical explanations and their conclusions.

The results of the primary research are used as the base of applied research. It is based on  experiments  and observation. The results of basic research are published in peer-reviewed journals.

  • What is global warming?
  • How did the Universe begin?
  • What do humans get stress?

Applied Research

Applied research is conducted to find solutions for practical problems. It uses the outcomes of basic research as its base. The results of applied research are applied immediately. It includes case studies and experimental research.

Example: Finding the solution to control air pollution.

Descriptive Research

Descriptive research is carried out to describe current issues and programs and provides information about the issue through surveys and various fact-finding methods.

It includes co-relational and comparative methods of research. It follows the Ex post facto research, which predicts the possible reasons behind the situation that has already occurred.

A researcher cannot control its variables and can report only about the current situation and its occurring.

Example: The widespread contaminated diseases in a specific area of the town. An investigation revealed that there was no trash removal system in that area. A researcher can hypothesise that improper trash removal leads to widespread contaminated diseases.

Analytical Research

In analytical research, a researcher can use the existing data, facts, and knowledge and critically analyse and evaluate the sources and material. It attempts to describe why a specific situation exists.

Example: Impact of video games on teenagers.

Explanatory

Explanatory research is conducted to know why and how two or more variables are interrelated. Researchers usually conduct experiments to know the effect of specific changes among two or more variables.

Example: A study to identify the impact of a nutritious diet on pregnant women.

Exploratory

Exploratory research is conducted to understand the nature of the problem. It does not focus on finding evidence or a conclusion of the problem. It studies the problem to explore the research in-depth and covers topics that have not been studied before.

Example: An investigation into the growing crimes against women in India.

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Types of Research According to the Mode of Inquiry

Qualitative research.

Qualitative research  is based on quality, and it looks in-depth at non-numerical data. It enables us to understand the comprehensive details of the problem. The researcher prepares open-ended questions to gather as much information as possible.

  • Stress level among men and women.
  • The obesity rate among teenagers.

Quantitative Research

Quantitative research is associated with the aspects of measurement, quantity, and extent. It follows the statistical, mathematical, and computational techniques in the form of numerical data such as percentages and statistics. The type of research is conducted on a large population.

  • Find out the weight of students of the fifth standard
  • Studying in government schools.

Types of Research According to the Research Approach

Longitudinal research.

Researchers collect the information at multiple points in time. Usually, a specific group of participants is selected and examined numerous times at various periods.

Example: If a researcher experiments on a group of women to find out the impact of a low-carb diet within six months. The women’s weight and health check-ups will be done multiple times to get the evidence for the study.

Cross-Sectional Research

Cross-sectional research gathers and compares the information from various groups of the population at the same point. It may not provide the exact reason and relationship between the subjects, but it gives a broad picture of studying multiple groups at the same time.

Example: If a researcher wants to know the number of students studying in a school, he will get to know about the age groups, height, weight, and gender of the students at the same time.

Conceptual Research

It is associated with the concept and theory that describes the hypothesis being studied. It is based on  the inductive  approach of reasoning. It does not follow practical experiments. Philosophers, thinkers, logicians, and theorists use such research to discover new concepts and understand existing knowledge.

Example: Discoveries of Sir Isaac Newton and Einstein.

Empirical Research

It is also known as experimental research, which depends on observation and experience. It is based on the  deductive  approach of reasoning . A researcher focuses on gathering information about the facts and their sources and investigating the existing knowledge. Example: Is intermittent fasting the healthy weight loss option for women?

The researcher can come up with the result that a certain number of women lost weight, and it improved their health. On the other hand, a certain number of women suffering from low blood pressure and diabetes didn’t lose weight, and they faced the negative impacts of intermittent fasting on their health.

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Mixed Methods of Research

When you combine quantitative and qualitative methods of research, the resulting approach becomes mixed methods of research.

Over the last few decades, much of the research in the world of academia has been conducted using mixed methods. Due to its greater legitimacy, this particular technique has gained for several reasons, including the feeling that combining the two types of research can provide holistic and more dependable results.

Here is what mixed methods of research involve:

  • Interpreting and investigating the information gathered through quantitative and qualitative techniques.
  • There could be more than one stage of research. Depending on the topic of research, occasionally, it would be more appropriate to perform qualitative research in the first stage to figure out and investigate a problem to unveil key themes and conduct quantitative research in stage two of the process for measuring relationships between the themes.

 Tips for Choosing the Right Type of Research

Choosing the right type of research is essential for producing relevant and actionable insights. The choice depends on your objectives, available resources, and the nature of the problem. Here are some tips to help you make the right decision:

Define your Research Objectives Clearly

  • Descriptive Research: To describe the characteristics of certain phenomena.
  • Exploratory Research: To explore a problem that hasn’t been studied in depth.
  • Explanatory (or Causal) Research: To explain patterns of cause and effect.
  • Predictive Research: To forecast future outcomes based on patterns.

Understand the Research Methods

  • Quantitative Research: Employs structured data collection (e.g., surveys) to generate statistical data.
  • Qualitative Research: Uses unstructured or semi-structured data collection methods (e.g., interviews, observations) to understand behaviour, motivations, etc.

Consider the Time Dimension

  • Cross-sectional Studies: Capture data at a single point in time.
  • Longitudinal Studies: Collect data over extended periods to observe changes.

Evaluate Available Resources

  • Budget: Some research methods, like experimental research, may require more funding.
  • Time: Exploratory or ethnographic studies may take longer than surveys.
  • Expertise: Ensure you or your team possess the skills needed for your chosen research method.

Consider the Nature of the Problem

Complex problems may require mixed-methods research (a combination of qualitative and quantitative).

Review Existing Literature

Review existing literature before settling on a type to see what methodologies were previously employed for similar questions.

Think about Data Collection

Consider the best method to gather data: surveys, interviews, experiments, observations, etc. Your choice affects the research type.

Ethical Considerations:

Ensure your chosen method abides by ethical standards, especially when human subjects are involved.

Generalisability Vs. Depth

Quantitative methods often allow for generalisability, while qualitative methods provide depth and detail.

Pilot Testing

If unsure, run a pilot study to test your chosen method’s feasibility and utility.

Stay Open to Adaptation

Sometimes, initial research can lead to unforeseen insights or complexities. Be prepared to adjust your approach if needed.

Seek Feedback

Discuss your research approach with colleagues, mentors, or experts in the field. They might offer valuable insights or identify potential pitfalls.

Stay Updated

Research methods evolve. Stay updated with the latest techniques, tools, and best practices in your field.

Frequently Asked Questions

What is research.

Research is a systematic inquiry aimed at discovering, interpreting, and revising knowledge about specific phenomena. It involves formulating hypotheses, collecting data, and analysing results to generate new insights or validate existing theories. Conducted in various fields, research can be empirical, theoretical, or experimental and is fundamental for informed decision-making.

What are the different Types of Research?

Different types of research include:

  • Descriptive: Describe and analyse phenomena.
  • Experimental: Manipulate variables to establish causation.
  • Correlational: Examine relationships between variables.
  • Qualitative: Gather insights and understanding.
  • Quantitative: Use numerical data for analysis.
  • Case study, survey, ethnography, and more.

What is research design?

Research design is a structured blueprint for conducting a study, outlining how data will be collected, analysed, and interpreted. It determines the overall strategy and approach to obtain valid, accurate, and reliable results. Research design encompasses choices about type (e.g., experimental, observational), method (qualitative, quantitative), and data collection procedures.

What is survey?

A survey is a research method used to gather data from a predefined group by asking specific questions. Surveys can be conducted using various mediums, such as face-to-face interviews, phone calls, or online questionnaires. They are valuable for collecting descriptive, quantitative, or qualitative information and gauging public opinion or behaviours.

What is research method?

A research method is a systematic approach used by researchers to gather, analyse, and interpret data relevant to their study. It dictates how information is collected and evaluated to answer specific research questions. Methods can be qualitative, quantitative, or mixed and include techniques like surveys, experiments, case studies, and interviews.

What is exploratory research?

Exploratory research is an initial study designed to clarify and define the nature of a problem. It’s used when researchers have a limited understanding of the topic. Instead of seeking definitive answers, it aims to identify patterns, ideas, or hypotheses. Methods often include literature reviews, qualitative interviews, and observational studies.

What is the purpose of research?

The purpose of research is to discover, interpret, or revise knowledge on specific topics or phenomena. It seeks to answer questions, validate theories, or find solutions to problems. Research enhances understanding, informs decision-making, guides policies, drives innovation, and contributes to academic, scientific, and societal advancement. It’s fundamental for evidence-based practices.

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Content analysis is used to identify specific words, patterns, concepts, themes, phrases, or sentences within the content in the recorded communication.

Ethnography is a type of research where a researcher observes the people in their natural environment. Here is all you need to know about ethnography.

In correlational research, a researcher measures the relationship between two or more variables or sets of scores without having control over the variables.

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15 Types of Research Methods

15 Types of Research Methods

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types of research methods, explained below

Research methods refer to the strategies, tools, and techniques used to gather and analyze data in a structured way in order to answer a research question or investigate a hypothesis (Hammond & Wellington, 2020).

Generally, we place research methods into two categories: quantitative and qualitative. Each has its own strengths and weaknesses, which we can summarize as:

  • Quantitative research can achieve generalizability through scrupulous statistical analysis applied to large sample sizes.
  • Qualitative research achieves deep, detailed, and nuance accounts of specific case studies, which are not generalizable.

Some researchers, with the aim of making the most of both quantitative and qualitative research, employ mixed methods, whereby they will apply both types of research methods in the one study, such as by conducting a statistical survey alongside in-depth interviews to add context to the quantitative findings.

Below, I’ll outline 15 common research methods, and include pros, cons, and examples of each .

Types of Research Methods

Research methods can be broadly categorized into two types: quantitative and qualitative.

  • Quantitative methods involve systematic empirical investigation of observable phenomena via statistical, mathematical, or computational techniques, providing an in-depth understanding of a specific concept or phenomenon (Schweigert, 2021). The strengths of this approach include its ability to produce reliable results that can be generalized to a larger population, although it can lack depth and detail.
  • Qualitative methods encompass techniques that are designed to provide a deep understanding of a complex issue, often in a specific context, through collection of non-numerical data (Tracy, 2019). This approach often provides rich, detailed insights but can be time-consuming and its findings may not be generalizable.

These can be further broken down into a range of specific research methods and designs:

Primarily Quantitative MethodsPrimarily Qualitative methods
Experimental ResearchCase Study
Surveys and QuestionnairesEthnography
Longitudinal StudiesPhenomenology
Cross-Sectional StudiesHistorical research
Correlational ResearchContent analysis
Causal-Comparative ResearchGrounded theory
Meta-AnalysisAction research
Quasi-Experimental DesignObservational research

Combining the two methods above, mixed methods research mixes elements of both qualitative and quantitative research methods, providing a comprehensive understanding of the research problem . We can further break these down into:

  • Sequential Explanatory Design (QUAN→QUAL): This methodology involves conducting quantitative analysis first, then supplementing it with a qualitative study.
  • Sequential Exploratory Design (QUAL→QUAN): This methodology goes in the other direction, starting with qualitative analysis and ending with quantitative analysis.

Let’s explore some methods and designs from both quantitative and qualitative traditions, starting with qualitative research methods.

Qualitative Research Methods

Qualitative research methods allow for the exploration of phenomena in their natural settings, providing detailed, descriptive responses and insights into individuals’ experiences and perceptions (Howitt, 2019).

These methods are useful when a detailed understanding of a phenomenon is sought.

1. Ethnographic Research

Ethnographic research emerged out of anthropological research, where anthropologists would enter into a setting for a sustained period of time, getting to know a cultural group and taking detailed observations.

Ethnographers would sometimes even act as participants in the group or culture, which many scholars argue is a weakness because it is a step away from achieving objectivity (Stokes & Wall, 2017).

In fact, at its most extreme version, ethnographers even conduct research on themselves, in a fascinating methodology call autoethnography .

The purpose is to understand the culture, social structure, and the behaviors of the group under study. It is often useful when researchers seek to understand shared cultural meanings and practices in their natural settings.

However, it can be time-consuming and may reflect researcher biases due to the immersion approach.

Pros of Ethnographic ResearchCons of Ethnographic Research
1. Provides deep cultural insights1. Time-consuming
2. Contextually relevant findings2. Potential researcher bias
3. Explores dynamic social processes3. May

Example of Ethnography

Liquidated: An Ethnography of Wall Street  by Karen Ho involves an anthropologist who embeds herself with Wall Street firms to study the culture of Wall Street bankers and how this culture affects the broader economy and world.

2. Phenomenological Research

Phenomenological research is a qualitative method focused on the study of individual experiences from the participant’s perspective (Tracy, 2019).

It focuses specifically on people’s experiences in relation to a specific social phenomenon ( see here for examples of social phenomena ).

This method is valuable when the goal is to understand how individuals perceive, experience, and make meaning of particular phenomena. However, because it is subjective and dependent on participants’ self-reports, findings may not be generalizable, and are highly reliant on self-reported ‘thoughts and feelings’.

Pros of Phenomenological ResearchCons of Phenomenological Research
1. Provides rich, detailed data1. Limited generalizability
2. Highlights personal experience and perceptions2. Data collection can be time-consuming
3. Allows exploration of complex phenomena3. Requires highly skilled researchers

Example of Phenomenological Research

A phenomenological approach to experiences with technology  by Sebnem Cilesiz represents a good starting-point for formulating a phenomenological study. With its focus on the ‘essence of experience’, this piece presents methodological, reliability, validity, and data analysis techniques that phenomenologists use to explain how people experience technology in their everyday lives.

3. Historical Research

Historical research is a qualitative method involving the examination of past events to draw conclusions about the present or make predictions about the future (Stokes & Wall, 2017).

As you might expect, it’s common in the research branches of history departments in universities.

This approach is useful in studies that seek to understand the past to interpret present events or trends. However, it relies heavily on the availability and reliability of source materials, which may be limited.

Common data sources include cultural artifacts from both material and non-material culture , which are then examined, compared, contrasted, and contextualized to test hypotheses and generate theories.

Pros of Historical ResearchCons of Historical Research
1. 1. Dependent on available sources
2. Can help understand current events or trends2. Potential bias in source materials
3. Allows the study of change over time3. Difficult to replicate

Example of Historical Research

A historical research example might be a study examining the evolution of gender roles over the last century. This research might involve the analysis of historical newspapers, advertisements, letters, and company documents, as well as sociocultural contexts.

4. Content Analysis

Content analysis is a research method that involves systematic and objective coding and interpreting of text or media to identify patterns, themes, ideologies, or biases (Schweigert, 2021).

A content analysis is useful in analyzing communication patterns, helping to reveal how texts such as newspapers, movies, films, political speeches, and other types of ‘content’ contain narratives and biases.

However, interpretations can be very subjective, which often requires scholars to engage in practices such as cross-comparing their coding with peers or external researchers.

Content analysis can be further broken down in to other specific methodologies such as semiotic analysis, multimodal analysis , and discourse analysis .

Pros of Content AnalysisCons of Content Analysis
1. Unobtrusive data collection1. Lacks contextual information
2. Allows for large sample analysis2. Potential coder bias
3. Replicable and reliable if done properly3. May overlook nuances

Example of Content Analysis

How is Islam Portrayed in Western Media?  by Poorebrahim and Zarei (2013) employs a type of content analysis called critical discourse analysis (common in poststructuralist and critical theory research ). This study by Poorebrahum and Zarei combs through a corpus of western media texts to explore the language forms that are used in relation to Islam and Muslims, finding that they are overly stereotyped, which may represent anti-Islam bias or failure to understand the Islamic world.

5. Grounded Theory Research

Grounded theory involves developing a theory  during and after  data collection rather than beforehand.

This is in contrast to most academic research studies, which start with a hypothesis or theory and then testing of it through a study, where we might have a null hypothesis (disproving the theory) and an alternative hypothesis (supporting the theory).

Grounded Theory is useful because it keeps an open mind to what the data might reveal out of the research. It can be time-consuming and requires rigorous data analysis (Tracy, 2019).

Pros of Grounded Theory ResearchCons of Grounded Theory Research
1. Helps with theory development1. Time-consuming
2. Rigorous data analysis2. Requires iterative data collection and analysis
3. Can fill gaps in existing theories3. Requires skilled researchers

Grounded Theory Example

Developing a Leadership Identity   by Komives et al (2005) employs a grounded theory approach to develop a thesis based on the data rather than testing a hypothesis. The researchers studied the leadership identity of 13 college students taking on leadership roles. Based on their interviews, the researchers theorized that the students’ leadership identities shifted from a hierarchical view of leadership to one that embraced leadership as a collaborative concept.

6. Action Research

Action research is an approach which aims to solve real-world problems and bring about change within a setting. The study is designed to solve a specific problem – or in other words, to take action (Patten, 2017).

This approach can involve mixed methods, but is generally qualitative because it usually involves the study of a specific case study wherein the researcher works, e.g. a teacher studying their own classroom practice to seek ways they can improve.

Action research is very common in fields like education and nursing where practitioners identify areas for improvement then implement a study in order to find paths forward.

Pros of Action ResearchCons of Action Research
1. Addresses real-world problems and seeks to find solutions.1. It is time-consuming and often hard to implement into a practitioner’s already busy schedule
2. Integrates research and action in an action-research cycle.2. Requires collaboration between researcher, practitioner, and research participants.
3. Can bring about positive change in isolated instances, such as in a school or nursery setting.3. Complexity of managing dual roles (where the researcher is also often the practitioner)

Action Research Example

Using Digital Sandbox Gaming to Improve Creativity Within Boys’ Writing   by Ellison and Drew was a research study one of my research students completed in his own classroom under my supervision. He implemented a digital game-based approach to literacy teaching with boys and interviewed his students to see if the use of games as stimuli for storytelling helped draw them into the learning experience.

7. Natural Observational Research

Observational research can also be quantitative (see: experimental research), but in naturalistic settings for the social sciences, researchers tend to employ qualitative data collection methods like interviews and field notes to observe people in their day-to-day environments.

This approach involves the observation and detailed recording of behaviors in their natural settings (Howitt, 2019). It can provide rich, in-depth information, but the researcher’s presence might influence behavior.

While observational research has some overlaps with ethnography (especially in regard to data collection techniques), it tends not to be as sustained as ethnography, e.g. a researcher might do 5 observations, every second Monday, as opposed to being embedded in an environment.

Pros of Qualitative Observational ResearchCons of Qualitative Observational Research
1. Captures behavior in natural settings, allowing for interesting insights into authentic behaviors. 1. Researcher’s presence may influence behavior
2. Can provide rich, detailed data through the researcher’s vignettes.2. Can be time-consuming
3. Non-invasive because researchers want to observe natural activities rather than interfering with research participants.3. Requires skilled and trained observers

Observational Research Example

A researcher might use qualitative observational research to study the behaviors and interactions of children at a playground. The researcher would document the behaviors observed, such as the types of games played, levels of cooperation , and instances of conflict.

8. Case Study Research

Case study research is a qualitative method that involves a deep and thorough investigation of a single individual, group, or event in order to explore facets of that phenomenon that cannot be captured using other methods (Stokes & Wall, 2017).

Case study research is especially valuable in providing contextualized insights into specific issues, facilitating the application of abstract theories to real-world situations (Patten, 2017).

However, findings from a case study may not be generalizable due to the specific context and the limited number of cases studied (Walliman, 2021).

Pros of Case Study ResearchCons of Case Study Research
1. Provides detailed insights1. Limited generalizability
2. Facilitates the study of complex phenomena2. Can be time-consuming
3. Can test or generate theories3. Subject to observer bias

See More: Case Study Advantages and Disadvantages

Example of a Case Study

Scholars conduct a detailed exploration of the implementation of a new teaching method within a classroom setting. The study focuses on how the teacher and students adapt to the new method, the challenges encountered, and the outcomes on student performance and engagement. While the study provides specific and detailed insights of the teaching method in that classroom, it cannot be generalized to other classrooms, as statistical significance has not been established through this qualitative approach.

Quantitative Research Methods

Quantitative research methods involve the systematic empirical investigation of observable phenomena via statistical, mathematical, or computational techniques (Pajo, 2022). The focus is on gathering numerical data and generalizing it across groups of people or to explain a particular phenomenon.

9. Experimental Research

Experimental research is a quantitative method where researchers manipulate one variable to determine its effect on another (Walliman, 2021).

This is common, for example, in high-school science labs, where students are asked to introduce a variable into a setting in order to examine its effect.

This type of research is useful in situations where researchers want to determine causal relationships between variables. However, experimental conditions may not reflect real-world conditions.

Pros of Experimental ResearchCons of Experimental Research
1. Allows for determination of causality1. Might not reflect real-world conditions
2. Allows for the study of phenomena in highly controlled environments to minimize research contamination.2. Can be costly and time-consuming to create a controlled environment.
3. Can be replicated so other researchers can test and verify the results.3. Ethical concerns need to be addressed as the research is directly manipulating variables.

Example of Experimental Research

A researcher may conduct an experiment to determine the effects of a new educational approach on student learning outcomes. Students would be randomly assigned to either the control group (traditional teaching method) or the experimental group (new educational approach).

10. Surveys and Questionnaires

Surveys and questionnaires are quantitative methods that involve asking research participants structured and predefined questions to collect data about their attitudes, beliefs, behaviors, or characteristics (Patten, 2017).

Surveys are beneficial for collecting data from large samples, but they depend heavily on the honesty and accuracy of respondents.

They tend to be seen as more authoritative than their qualitative counterparts, semi-structured interviews, because the data is quantifiable (e.g. a questionnaire where information is presented on a scale from 1 to 10 can allow researchers to determine and compare statistical means, averages, and variations across sub-populations in the study).

Pros of Surveys and QuestionnairesCons of Surveys and Questionnaires
1. Data can be gathered from larger samples than is possible in qualitative research. 1. There is heavy dependence on respondent honesty
2. The data is quantifiable, allowing for comparison across subpopulations2. There is limited depth of response as opposed to qualitative approaches.
3. Can be cost-effective and time-efficient3. Static with no flexibility to explore responses (unlike semi- or unstrcutured interviewing)

Example of a Survey Study

A company might use a survey to gather data about employee job satisfaction across its offices worldwide. Employees would be asked to rate various aspects of their job satisfaction on a Likert scale. While this method provides a broad overview, it may lack the depth of understanding possible with other methods (Stokes & Wall, 2017).

11. Longitudinal Studies

Longitudinal studies involve repeated observations of the same variables over extended periods (Howitt, 2019). These studies are valuable for tracking development and change but can be costly and time-consuming.

With multiple data points collected over extended periods, it’s possible to examine continuous changes within things like population dynamics or consumer behavior. This makes a detailed analysis of change possible.

a visual representation of a longitudinal study demonstrating that data is collected over time on one sample so researchers can examine how variables change over time

Perhaps the most relatable example of a longitudinal study is a national census, which is taken on the same day every few years, to gather comparative demographic data that can show how a nation is changing over time.

While longitudinal studies are commonly quantitative, there are also instances of qualitative ones as well, such as the famous 7 Up study from the UK, which studies 14 individuals every 7 years to explore their development over their lives.

Pros of Longitudinal StudiesCons of Longitudinal Studies
1. Tracks changes over time allowing for comparison of past to present events.1. Is almost by definition time-consuming because time needs to pass between each data collection session.
2. Can identify sequences of events, but causality is often harder to determine.2. There is high risk of participant dropout over time as participants move on with their lives.

Example of a Longitudinal Study

A national census, taken every few years, uses surveys to develop longitudinal data, which is then compared and analyzed to present accurate trends over time. Trends a census can reveal include changes in religiosity, values and attitudes on social issues, and much more.

12. Cross-Sectional Studies

Cross-sectional studies are a quantitative research method that involves analyzing data from a population at a specific point in time (Patten, 2017). They provide a snapshot of a situation but cannot determine causality.

This design is used to measure and compare the prevalence of certain characteristics or outcomes in different groups within the sampled population.

A visual representation of a cross-sectional group of people, demonstrating that the data is collected at a single point in time and you can compare groups within the sample

The major advantage of cross-sectional design is its ability to measure a wide range of variables simultaneously without needing to follow up with participants over time.

However, cross-sectional studies do have limitations . This design can only show if there are associations or correlations between different variables, but cannot prove cause and effect relationships, temporal sequence, changes, and trends over time.

Pros of Cross-Sectional StudiesCons of Cross-Sectional Studies
1. Quick and inexpensive, with no long-term commitment required.1. Cannot determine causality because it is a simple snapshot, with no time delay between data collection points.
2. Good for descriptive analyses.2. Does not allow researchers to follow up with research participants.

Example of a Cross-Sectional Study

Our longitudinal study example of a national census also happens to contain cross-sectional design. One census is cross-sectional, displaying only data from one point in time. But when a census is taken once every few years, it becomes longitudinal, and so long as the data collection technique remains unchanged, identification of changes will be achievable, adding another time dimension on top of a basic cross-sectional study.

13. Correlational Research

Correlational research is a quantitative method that seeks to determine if and to what degree a relationship exists between two or more quantifiable variables (Schweigert, 2021).

This approach provides a fast and easy way to make initial hypotheses based on either positive or  negative correlation trends  that can be observed within dataset.

While correlational research can reveal relationships between variables, it cannot establish causality.

Methods used for data analysis may include statistical correlations such as Pearson’s or Spearman’s.

Pros of Correlational ResearchCons of Correlational Research
1. Reveals relationships between variables1. Cannot determine causality
2. Can use existing data2. May be
3. Can guide further experimental research3. Correlation may be coincidental

Example of Correlational Research

A team of researchers is interested in studying the relationship between the amount of time students spend studying and their academic performance. They gather data from a high school, measuring the number of hours each student studies per week and their grade point averages (GPAs) at the end of the semester. Upon analyzing the data, they find a positive correlation, suggesting that students who spend more time studying tend to have higher GPAs.

14. Quasi-Experimental Design Research

Quasi-experimental design research is a quantitative research method that is similar to experimental design but lacks the element of random assignment to treatment or control.

Instead, quasi-experimental designs typically rely on certain other methods to control for extraneous variables.

The term ‘quasi-experimental’ implies that the experiment resembles a true experiment, but it is not exactly the same because it doesn’t meet all the criteria for a ‘true’ experiment, specifically in terms of control and random assignment.

Quasi-experimental design is useful when researchers want to study a causal hypothesis or relationship, but practical or ethical considerations prevent them from manipulating variables and randomly assigning participants to conditions.

Pros Cons
1. It’s more feasible to implement than true experiments.1. Without random assignment, it’s harder to rule out confounding variables.
2. It can be conducted in real-world settings, making the findings more applicable to the real world.2. The lack of random assignment may of the study.
3. Useful when it’s unethical or impossible to manipulate the independent variable or randomly assign participants.3. It’s more difficult to establish a cause-effect relationship due to the potential for confounding variables.

Example of Quasi-Experimental Design

A researcher wants to study the impact of a new math tutoring program on student performance. However, ethical and practical constraints prevent random assignment to the “tutoring” and “no tutoring” groups. Instead, the researcher compares students who chose to receive tutoring (experimental group) to similar students who did not choose to receive tutoring (control group), controlling for other variables like grade level and previous math performance.

Related: Examples and Types of Random Assignment in Research

15. Meta-Analysis Research

Meta-analysis statistically combines the results of multiple studies on a specific topic to yield a more precise estimate of the effect size. It’s the gold standard of secondary research .

Meta-analysis is particularly useful when there are numerous studies on a topic, and there is a need to integrate the findings to draw more reliable conclusions.

Some meta-analyses can identify flaws or gaps in a corpus of research, when can be highly influential in academic research, despite lack of primary data collection.

However, they tend only to be feasible when there is a sizable corpus of high-quality and reliable studies into a phenomenon.

Pros Cons
Increased Statistical Power: By combining data from multiple studies, meta-analysis increases the statistical power to detect effects.Publication Bias: Studies with null or negative findings are less likely to be published, leading to an overestimation of effect sizes.
Greater Precision: It provides more precise estimates of effect sizes by reducing the influence of random error.Quality of Studies: of a meta-analysis depends on the quality of the studies included.
Resolving Discrepancies: Meta-analysis can help resolve disagreements between different studies on a topic.Heterogeneity: Differences in study design, sample, or procedures can introduce heterogeneity, complicating interpretation of results.

Example of a Meta-Analysis

The power of feedback revisited (Wisniewski, Zierer & Hattie, 2020) is a meta-analysis that examines 435 empirical studies research on the effects of feedback on student learning. They use a random-effects model to ascertain whether there is a clear effect size across the literature. The authors find that feedback tends to impact cognitive and motor skill outcomes but has less of an effect on motivational and behavioral outcomes.

Choosing a research method requires a lot of consideration regarding what you want to achieve, your research paradigm, and the methodology that is most valuable for what you are studying. There are multiple types of research methods, many of which I haven’t been able to present here. Generally, it’s recommended that you work with an experienced researcher or research supervisor to identify a suitable research method for your study at hand.

Hammond, M., & Wellington, J. (2020). Research methods: The key concepts . New York: Routledge.

Howitt, D. (2019). Introduction to qualitative research methods in psychology . London: Pearson UK.

Pajo, B. (2022). Introduction to research methods: A hands-on approach . New York: Sage Publications.

Patten, M. L. (2017). Understanding research methods: An overview of the essentials . New York: Sage

Schweigert, W. A. (2021). Research methods in psychology: A handbook . Los Angeles: Waveland Press.

Stokes, P., & Wall, T. (2017). Research methods . New York: Bloomsbury Publishing.

Tracy, S. J. (2019). Qualitative research methods: Collecting evidence, crafting analysis, communicating impact . London: John Wiley & Sons.

Walliman, N. (2021). Research methods: The basics. London: Routledge.

Chris

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Research Method

Home » Research Project – Definition, Writing Guide and Ideas

Research Project – Definition, Writing Guide and Ideas

Table of Contents

Research Project

Research Project

Definition :

Research Project is a planned and systematic investigation into a specific area of interest or problem, with the goal of generating new knowledge, insights, or solutions. It typically involves identifying a research question or hypothesis, designing a study to test it, collecting and analyzing data, and drawing conclusions based on the findings.

Types of Research Project

Types of Research Projects are as follows:

Basic Research

This type of research focuses on advancing knowledge and understanding of a subject area or phenomenon, without any specific application or practical use in mind. The primary goal is to expand scientific or theoretical knowledge in a particular field.

Applied Research

Applied research is aimed at solving practical problems or addressing specific issues. This type of research seeks to develop solutions or improve existing products, services or processes.

Action Research

Action research is conducted by practitioners and aimed at solving specific problems or improving practices in a particular context. It involves collaboration between researchers and practitioners, and often involves iterative cycles of data collection and analysis, with the goal of improving practices.

Quantitative Research

This type of research uses numerical data to investigate relationships between variables or to test hypotheses. It typically involves large-scale data collection through surveys, experiments, or secondary data analysis.

Qualitative Research

Qualitative research focuses on understanding and interpreting phenomena from the perspective of the people involved. It involves collecting and analyzing data in the form of text, images, or other non-numerical forms.

Mixed Methods Research

Mixed methods research combines elements of both quantitative and qualitative research, using multiple data sources and methods to gain a more comprehensive understanding of a phenomenon.

Longitudinal Research

This type of research involves studying a group of individuals or phenomena over an extended period of time, often years or decades. It is useful for understanding changes and developments over time.

Case Study Research

Case study research involves in-depth investigation of a particular case or phenomenon, often within a specific context. It is useful for understanding complex phenomena in their real-life settings.

Participatory Research

Participatory research involves active involvement of the people or communities being studied in the research process. It emphasizes collaboration, empowerment, and the co-production of knowledge.

Research Project Methodology

Research Project Methodology refers to the process of conducting research in an organized and systematic manner to answer a specific research question or to test a hypothesis. A well-designed research project methodology ensures that the research is rigorous, valid, and reliable, and that the findings are meaningful and can be used to inform decision-making.

There are several steps involved in research project methodology, which are described below:

Define the Research Question

The first step in any research project is to clearly define the research question or problem. This involves identifying the purpose of the research, the scope of the research, and the key variables that will be studied.

Develop a Research Plan

Once the research question has been defined, the next step is to develop a research plan. This plan outlines the methodology that will be used to collect and analyze data, including the research design, sampling strategy, data collection methods, and data analysis techniques.

Collect Data

The data collection phase involves gathering information through various methods, such as surveys, interviews, observations, experiments, or secondary data analysis. The data collected should be relevant to the research question and should be of sufficient quantity and quality to enable meaningful analysis.

Analyze Data

Once the data has been collected, it is analyzed using appropriate statistical techniques or other methods. The analysis should be guided by the research question and should aim to identify patterns, trends, relationships, or other insights that can inform the research findings.

Interpret and Report Findings

The final step in the research project methodology is to interpret the findings and report them in a clear and concise manner. This involves summarizing the results, discussing their implications, and drawing conclusions that can be used to inform decision-making.

Research Project Writing Guide

Here are some guidelines to help you in writing a successful research project:

  • Choose a topic: Choose a topic that you are interested in and that is relevant to your field of study. It is important to choose a topic that is specific and focused enough to allow for in-depth research and analysis.
  • Conduct a literature review : Conduct a thorough review of the existing research on your topic. This will help you to identify gaps in the literature and to develop a research question or hypothesis.
  • Develop a research question or hypothesis : Based on your literature review, develop a clear research question or hypothesis that you will investigate in your study.
  • Design your study: Choose an appropriate research design and methodology to answer your research question or test your hypothesis. This may include choosing a sample, selecting measures or instruments, and determining data collection methods.
  • Collect data: Collect data using your chosen methods and instruments. Be sure to follow ethical guidelines and obtain informed consent from participants if necessary.
  • Analyze data: Analyze your data using appropriate statistical or qualitative methods. Be sure to clearly report your findings and provide interpretations based on your research question or hypothesis.
  • Discuss your findings : Discuss your findings in the context of the existing literature and your research question or hypothesis. Identify any limitations or implications of your study and suggest directions for future research.
  • Write your project: Write your research project in a clear and organized manner, following the appropriate format and style guidelines for your field of study. Be sure to include an introduction, literature review, methodology, results, discussion, and conclusion.
  • Revise and edit: Revise and edit your project for clarity, coherence, and accuracy. Be sure to proofread for spelling, grammar, and formatting errors.
  • Cite your sources: Cite your sources accurately and appropriately using the appropriate citation style for your field of study.

Examples of Research Projects

Some Examples of Research Projects are as follows:

  • Investigating the effects of a new medication on patients with a particular disease or condition.
  • Exploring the impact of exercise on mental health and well-being.
  • Studying the effectiveness of a new teaching method in improving student learning outcomes.
  • Examining the impact of social media on political participation and engagement.
  • Investigating the efficacy of a new therapy for a specific mental health disorder.
  • Exploring the use of renewable energy sources in reducing carbon emissions and mitigating climate change.
  • Studying the effects of a new agricultural technique on crop yields and environmental sustainability.
  • Investigating the effectiveness of a new technology in improving business productivity and efficiency.
  • Examining the impact of a new public policy on social inequality and access to resources.
  • Exploring the factors that influence consumer behavior in a specific market.

Characteristics of Research Project

Here are some of the characteristics that are often associated with research projects:

  • Clear objective: A research project is designed to answer a specific question or solve a particular problem. The objective of the research should be clearly defined from the outset.
  • Systematic approach: A research project is typically carried out using a structured and systematic approach that involves careful planning, data collection, analysis, and interpretation.
  • Rigorous methodology: A research project should employ a rigorous methodology that is appropriate for the research question being investigated. This may involve the use of statistical analysis, surveys, experiments, or other methods.
  • Data collection : A research project involves collecting data from a variety of sources, including primary sources (such as surveys or experiments) and secondary sources (such as published literature or databases).
  • Analysis and interpretation : Once the data has been collected, it needs to be analyzed and interpreted. This involves using statistical techniques or other methods to identify patterns or relationships in the data.
  • Conclusion and implications : A research project should lead to a clear conclusion that answers the research question. It should also identify the implications of the findings for future research or practice.
  • Communication: The results of the research project should be communicated clearly and effectively, using appropriate language and visual aids, to a range of audiences, including peers, stakeholders, and the wider public.

Importance of Research Project

Research projects are an essential part of the process of generating new knowledge and advancing our understanding of various fields of study. Here are some of the key reasons why research projects are important:

  • Advancing knowledge : Research projects are designed to generate new knowledge and insights into particular topics or questions. This knowledge can be used to inform policies, practices, and decision-making processes across a range of fields.
  • Solving problems: Research projects can help to identify solutions to real-world problems by providing a better understanding of the causes and effects of particular issues.
  • Developing new technologies: Research projects can lead to the development of new technologies or products that can improve people’s lives or address societal challenges.
  • Improving health outcomes: Research projects can contribute to improving health outcomes by identifying new treatments, diagnostic tools, or preventive strategies.
  • Enhancing education: Research projects can enhance education by providing new insights into teaching and learning methods, curriculum development, and student learning outcomes.
  • Informing public policy : Research projects can inform public policy by providing evidence-based recommendations and guidance on issues related to health, education, environment, social justice, and other areas.
  • Enhancing professional development : Research projects can enhance the professional development of researchers by providing opportunities to develop new skills, collaborate with colleagues, and share knowledge with others.

Research Project Ideas

Following are some Research Project Ideas:

Field: Psychology

  • Investigating the impact of social support on coping strategies among individuals with chronic illnesses.
  • Exploring the relationship between childhood trauma and adult attachment styles.
  • Examining the effects of exercise on cognitive function and brain health in older adults.
  • Investigating the impact of sleep deprivation on decision making and risk-taking behavior.
  • Exploring the relationship between personality traits and leadership styles in the workplace.
  • Examining the effectiveness of cognitive-behavioral therapy (CBT) for treating anxiety disorders.
  • Investigating the relationship between social comparison and body dissatisfaction in young women.
  • Exploring the impact of parenting styles on children’s emotional regulation and behavior.
  • Investigating the effectiveness of mindfulness-based interventions for treating depression.
  • Examining the relationship between childhood adversity and later-life health outcomes.

Field: Economics

  • Analyzing the impact of trade agreements on economic growth in developing countries.
  • Examining the effects of tax policy on income distribution and poverty reduction.
  • Investigating the relationship between foreign aid and economic development in low-income countries.
  • Exploring the impact of globalization on labor markets and job displacement.
  • Analyzing the impact of minimum wage laws on employment and income levels.
  • Investigating the effectiveness of monetary policy in managing inflation and unemployment.
  • Examining the relationship between economic freedom and entrepreneurship.
  • Analyzing the impact of income inequality on social mobility and economic opportunity.
  • Investigating the role of education in economic development.
  • Examining the effectiveness of different healthcare financing systems in promoting health equity.

Field: Sociology

  • Investigating the impact of social media on political polarization and civic engagement.
  • Examining the effects of neighborhood characteristics on health outcomes.
  • Analyzing the impact of immigration policies on social integration and cultural diversity.
  • Investigating the relationship between social support and mental health outcomes in older adults.
  • Exploring the impact of income inequality on social cohesion and trust.
  • Analyzing the effects of gender and race discrimination on career advancement and pay equity.
  • Investigating the relationship between social networks and health behaviors.
  • Examining the effectiveness of community-based interventions for reducing crime and violence.
  • Analyzing the impact of social class on cultural consumption and taste.
  • Investigating the relationship between religious affiliation and social attitudes.

Field: Computer Science

  • Developing an algorithm for detecting fake news on social media.
  • Investigating the effectiveness of different machine learning algorithms for image recognition.
  • Developing a natural language processing tool for sentiment analysis of customer reviews.
  • Analyzing the security implications of blockchain technology for online transactions.
  • Investigating the effectiveness of different recommendation algorithms for personalized advertising.
  • Developing an artificial intelligence chatbot for mental health counseling.
  • Investigating the effectiveness of different algorithms for optimizing online advertising campaigns.
  • Developing a machine learning model for predicting consumer behavior in online marketplaces.
  • Analyzing the privacy implications of different data sharing policies for online platforms.
  • Investigating the effectiveness of different algorithms for predicting stock market trends.

Field: Education

  • Investigating the impact of teacher-student relationships on academic achievement.
  • Analyzing the effectiveness of different pedagogical approaches for promoting student engagement and motivation.
  • Examining the effects of school choice policies on academic achievement and social mobility.
  • Investigating the impact of technology on learning outcomes and academic achievement.
  • Analyzing the effects of school funding disparities on educational equity and achievement gaps.
  • Investigating the relationship between school climate and student mental health outcomes.
  • Examining the effectiveness of different teaching strategies for promoting critical thinking and problem-solving skills.
  • Investigating the impact of social-emotional learning programs on student behavior and academic achievement.
  • Analyzing the effects of standardized testing on student motivation and academic achievement.

Field: Environmental Science

  • Investigating the impact of climate change on species distribution and biodiversity.
  • Analyzing the effectiveness of different renewable energy technologies in reducing carbon emissions.
  • Examining the impact of air pollution on human health outcomes.
  • Investigating the relationship between urbanization and deforestation in developing countries.
  • Analyzing the effects of ocean acidification on marine ecosystems and biodiversity.
  • Investigating the impact of land use change on soil fertility and ecosystem services.
  • Analyzing the effectiveness of different conservation policies and programs for protecting endangered species and habitats.
  • Investigating the relationship between climate change and water resources in arid regions.
  • Examining the impact of plastic pollution on marine ecosystems and biodiversity.
  • Investigating the effects of different agricultural practices on soil health and nutrient cycling.

Field: Linguistics

  • Analyzing the impact of language diversity on social integration and cultural identity.
  • Investigating the relationship between language and cognition in bilingual individuals.
  • Examining the effects of language contact and language change on linguistic diversity.
  • Investigating the role of language in shaping cultural norms and values.
  • Analyzing the effectiveness of different language teaching methodologies for second language acquisition.
  • Investigating the relationship between language proficiency and academic achievement.
  • Examining the impact of language policy on language use and language attitudes.
  • Investigating the role of language in shaping gender and social identities.
  • Analyzing the effects of dialect contact on language variation and change.
  • Investigating the relationship between language and emotion expression.

Field: Political Science

  • Analyzing the impact of electoral systems on women’s political representation.
  • Investigating the relationship between political ideology and attitudes towards immigration.
  • Examining the effects of political polarization on democratic institutions and political stability.
  • Investigating the impact of social media on political participation and civic engagement.
  • Analyzing the effects of authoritarianism on human rights and civil liberties.
  • Investigating the relationship between public opinion and foreign policy decisions.
  • Examining the impact of international organizations on global governance and cooperation.
  • Investigating the effectiveness of different conflict resolution strategies in resolving ethnic and religious conflicts.
  • Analyzing the effects of corruption on economic development and political stability.
  • Investigating the role of international law in regulating global governance and human rights.

Field: Medicine

  • Investigating the impact of lifestyle factors on chronic disease risk and prevention.
  • Examining the effectiveness of different treatment approaches for mental health disorders.
  • Investigating the relationship between genetics and disease susceptibility.
  • Analyzing the effects of social determinants of health on health outcomes and health disparities.
  • Investigating the impact of different healthcare delivery models on patient outcomes and cost effectiveness.
  • Examining the effectiveness of different prevention and treatment strategies for infectious diseases.
  • Investigating the relationship between healthcare provider communication skills and patient satisfaction and outcomes.
  • Analyzing the effects of medical error and patient safety on healthcare quality and outcomes.
  • Investigating the impact of different pharmaceutical pricing policies on access to essential medicines.
  • Examining the effectiveness of different rehabilitation approaches for improving function and quality of life in individuals with disabilities.

Field: Anthropology

  • Analyzing the impact of colonialism on indigenous cultures and identities.
  • Investigating the relationship between cultural practices and health outcomes in different populations.
  • Examining the effects of globalization on cultural diversity and cultural exchange.
  • Investigating the role of language in cultural transmission and preservation.
  • Analyzing the effects of cultural contact on cultural change and adaptation.
  • Investigating the impact of different migration policies on immigrant integration and acculturation.
  • Examining the role of gender and sexuality in cultural norms and values.
  • Investigating the impact of cultural heritage preservation on tourism and economic development.
  • Analyzing the effects of cultural revitalization movements on indigenous communities.

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Types of Research Methods Explained with Examples

Research methods are the various strategies, techniques, and tools that researchers use to collect and analyze data . These methods help researchers find answers to their questions and gain a better understanding of different topics. Whether conducting experiments, surveys, or interviews, choosing the right research method is crucial for obtaining accurate and reliable results.

In the ever-evolving world of academia and professional inquiry, understanding the various research methods is crucial for anyone looking to delve into a new study or project. Research is a systematic investigation aimed at discovering and interpreting facts , plays a pivotal role in expanding our knowledge across various fields.

Table of Content

What is Research?

Types of research methods, types of research methodology, difference between qualitative and quantitative research.

This article will explore the different types of research methods , how they are used, and their importance in the world of research.

Research is the process of studying a subject in detail to discover new information or understand it better. This can be anything from studying plants or animals, to learning how people think and behave, to finding new ways to cure diseases. People do research by asking questions, collecting information, and then looking at that information to find answers or learn new things.

Research

This table provides a quick reference to understand the key aspects of each research type.

Research Methods Focus Methodology Applications
Qualitative Human behavior Interviews, Observations Social Sciences
Quantitative Data quantification Statistical Analysis Natural Sciences
Descriptive Phenomenon description Surveys, Observations Demographics
Analytical Underlying reasons Data Comparison Scientific Research
Applied Practical solutions Collaborative Research Healthcare
Fundamental Knowledge expansion Theoretical Research Physics, Math
Exploratory Undefined problems Secondary Research Product Development
Conclusive Decision-making Experiments, Testing Market Research

1. Qualitative Research

Qualitative research method is a methodological approach primarily used in fields like social sciences, anthropology, and psychology . It’s aimed at understanding human behavior and the motivations behind it. Qualitative research delves into the nature of phenomena through detailed, in-depth exploration.

Definition and Approach: Qualitative research focuses on understanding human behavior and the reasons that govern such behavior. It involves in-depth analysis of non-numerical data like texts, videos, or audio recordings.

Key Features:

  • Emphasis on exploring complex phenomena
  • Involves interviews, focus groups , and observations
  • Generates rich, detailed data that are often subjective

Applications: Widely used in social sciences, marketing, and user experience research.

2. Quantitative Research

Quantitative research method is a systematic approach used in various scientific fields to quantify data and generalize findings from a sample to a larger population.

Definition and Approach: Quantitative research is centered around quantifying data and generalizing results from a sample to the population of interest. It involves statistical analysis and numerical data .

  • Relies on structured data collection instruments
  • Large sample sizes for generalizability
  • Statistical methods to establish relationships between variables

Applications: Common in natural sciences, economics, and market research.

3. Descriptive Research

Descriptive research is a type of research method that is used to describe characteristics of a population or phenomenon being studied . It does not answer questions about how or why things are the way they are. Instead, it focuses on providing a snapshot of current conditions or describing what exists.

Definition and Approach: This Types of Research method aims to accurately describe characteristics of a particular phenomenon or population.

  • Provides detailed insights without explaining why or how something happens
  • Involves surveys and observations
  • Often used as a preliminary research method

Applications: Used in demographic studies, census, and organizational reporting.

4. Analytical Research

Analytical research is a type of research that s eeks to understand the underlying factors or causes behind phenomena or relationships . It goes beyond descriptive research by attempting to explain why things happen and how they happen.

Definition and Approach: Analytical research method goes beyond description to understand the underlying reasons or causes.

  • Involves comparing data and facts to make evaluations
  • Critical thinking is a key component
  • Often hypothesis-driven

Applications: Useful in scientific research, policy analysis, and business strategy.

5. Applied Research

Applied research is a type of scientific research method that aims to solve specific practical problems or address practical questions . Unlike fundamental research, which seeks to expand knowledge for knowledge’s sake, applied research is directed towards solving real-world issues .

Definition and Approach: Applied research focuses on finding solutions to practical problems.

  • Direct practical application
  • Often collaborative , involving stakeholders
  • Results are immediately applicable

Applications: Used in healthcare, engineering, and technology development.

6. Fundamental Research

Fundamental research, also known as basic research or pure research, is a type of scientific research method that aims to expand the existing knowledge base. It is driven by curiosity, interest in a particular subject, or the pursuit of knowledge for knowledge’s sake , rather than with a specific practical application in mind.

Definition and Approach: Also known as basic or pure research, it aims to expand knowledge without a direct application in mind.

  • Theoretical framework
  • Focus on understanding fundamental principles
  • Long-term in nature

Applications: Foundational in fields like physics, mathematics, and social sciences.

7. Exploratory Research

Exploratory research is a type of research method conducted for a problem that has not been clearly defined. Its primary goal is to gain insights and familiarity with the problem or to gain more information about a topic. Exploratory research is often conducted when a researcher or investigator does not know much about the issue and is looking to gather more information.

Definition and Approach: This type of research is conducted for a problem that has not been clearly defined.

  • Flexible and unstructured
  • Used to identify potential hypotheses
  • Relies on secondary research like reviewing available literature

Applications: Often the first step in social science research and product development.

8. Conclusive Research

Conclusive research, also known as confirmatory research, is a type of research method that aims to confirm or deny a hypotheses or provide answers to specific research questions. It is used to make conclusive decisions or draw conclusions about the relationships among variables.

Definition and Approach: Conclusive research is designed to provide information that is useful in decision-making.

  • Structured and methodical
  • Aims to test hypotheses
  • Involves experiments, surveys, and testing

Applications: Used in market research, clinical trials, and policy evaluations.

Here is detailed difference between the qualitative and quantitative research –

Focuses on exploring ideas, understanding concepts, and gathering insights. Involves the collection and analysis of numerical data to describe, predict, or control variables of interest.
To gain a deep understanding of underlying reasons, motivations, and opinions. To quantify data and generalize results from a sample to a larger population.
Non-numerical data such as words, images, or objects. Numerical data, often in the form of numbers and statistics.
Interviews, focus groups, observations, and review of documents or artifacts. Surveys, experiments, , and numerical measurements.
Interpretive, subjective analysis aimed at understanding context and complexity. Statistical, objective analysis focused on quantifying data and generalizing findings.
Descriptive, detailed narrative or thematic analysis. Statistical results, often presented in charts, tables, or graphs.
Generally smaller, focused on depth rather than breadth. Larger to ensure statistical significance and representativeness.
High flexibility in research design, allowing for changes as the study progresses. Structured and fixed design, with little room for changes once the study begins.
Exploratory, open-ended, and subjective. Conclusive, closed-ended, and objective.
Social sciences, humanities, psychology, and market research for understanding behaviors and experiences. Natural sciences, economics, and large-scale market research for testing hypotheses and making predictions.
Provides depth and detail, offers a more human touch and context, good for exploring new areas. Allows for a broader study, involving a greater number of subjects, and enhances generalizability of results.
Can be time-consuming, harder to generalize due to small sample size, and may be subject to researcher bias. May overlook the richness of context, less effective in understanding complex social phenomena.

Understanding the different types of research methods is crucial for anyone embarking on a research project. Each type has its unique approach, methodology, and application area, making it essential to choose the right type for your specific research question or problem. This guide serves as a starting point for researchers to explore and select the most suitable research method for their needs, ensuring effective and reliable outcomes.

Types of Research Methods – FAQs

What are the 4 main types of research methods.

There are four main types of Quantitative research:  Descriptive, Correlational, Causal-Comparative/Quasi-Experimental, and Experimental Research . attempts to establish cause- effect relationships among the variables. These types of design are very similar to true experiments, but with some key differences.

What are the 5 main purpose of research?

The primary purposes of basic research (as opposed to applied research) are  documentation, discovery, interpretation, and the research and development (R&D) of methods and systems for the advancement of human knowledge .

What are 7 C’s of research?

The 7 C’s define the principles that are essential for conducting rigorous and credible research. They are Curiosity, Clarity, Conciseness, Correctness, Completeness, Coherence, Credibility.

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Different types of research projects

Master’s theses can be based on various types of research projects. Up to now, it has been most common to implement empirical projects . Empirical theses are based on observed and measured phenomena and derive knowledge from actual experience rather than from theory or belief. 

Empirical theses shall:

  • account for the theoretical and empirical background and framework for the project. They must have a clear thesis statement or research question(s)
  • account for the research design, including overall approach, methodology, data collection, systematization and/or coding, and analysis
  • discuss relevant questions about reliability, validity and ethical issues
  • present results in a clear and systematic way
  • discuss the results and their implications in light of the thesis statement or research question(s), and the theoretical and empirical background

The data material that is used as the basis for empirical theses is usually research-generated. The data is usually collected through the use of questionnaires, interviews or observations. The data material can also consist of existing documents (such as curriculums, guides, reports, white papers, or archival records), analyses from previous studies (such as forms of systematic reviews), secondary data analyses (e.g. PISA), or other types of sources. The different types of data material can be combined.

The Master's Thesis can also be based on an evaluation project . Evaluation projects have the objective of evaluating initiatives, programmes, work practices, collaboration, etc. Master’s theses based on an evaluation project will often contain the same requirements regarding research methodology as empirical research. In addition, the following shall be accounted for

  • what is to be evaluated
  • the objective of the evaluation
  • criteria, values, formulation of objectives or similar evaluation aims
  • the role of the evaluator

A third type of Master’s Thesis could be to assess development projects, implemented innovation projects, for example.   A thesis based on a development project  will usually include an evaluation of the quality development work carried out. Therefore, it will often include elements of the evaluation research (see above). Master’s theses based on quality development work shall account for:

  • the situation before the quality development work started
  • the objective of the quality development work
  • the innovative idea
  • innovation strategy(ies) for the quality development work
  • planning of the quality development work
  • the implementation
  • evaluation and discussion of continuation and dissemination possibilities

It is also possible to choose to conduct the Master's Thesis as a pure theoretical study  without any type of empirical investigation. Some theoretical studies may also include a limited empirical investigation. Theses that deal with issues in the philosophy of science, conceptual analysis, or the like, are included in this category. Historical theses can also be theoretical studies. Theoretical master's theses that take into account and analyse selected literature shall have clear thesis statements or questions, in the same manner as the other types of master's projects. They have the same requirements regarding independent scholarly work as the other types of master's projects. The thesis statement or question shall be relevant to the subject of Special Needs Education.

The candidate is expected to orientate themselves in theory and research relevant to the thesis statement or question. Therefore, certain theoretical studies can be considered as “library fieldwork” or literature reviews, e.g. qualitative reviews or narrative reviews. Emphasis is placed on the candidate’s ability to shed light on the thesis statement or question, both through the selection, presentation and discussion of theory. Furthermore, it is important that the candidate is able to use the theory in an independent and critical way. Simply accounting for and referring to theory is not enough.

For theoretical theses, it is expected that the candidate

  • analyses various theoretical perspectives
  • provides an informed discussion of sources
  • justifies their choice of material and supports their reasoning.

For theoretical theses, normal requirements apply regarding verifiability. Methodological thesis statements or questions shall be discussed and sources provided in such a way that the research process can be verified.

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what are the different types of research projects

1000+ FREE Research Topics & Title Ideas

what are the different types of research projects

Select your area of interest to view a collection of potential research topics and ideas.

Or grab the full list 📋 (for free)

Research topic idea mega list

PS – You can also check out our free topic ideation webinar for more ideas

How To Find A Research Topic

If you’re struggling to get started, this step-by-step video tutorial will help you find the perfect research topic.

Research Topic FAQs

What (exactly) is a research topic.

A research topic is the subject of a research project or study – for example, a dissertation or thesis. A research topic typically takes the form of a problem to be solved, or a question to be answered.

A good research topic should be specific enough to allow for focused research and analysis. For example, if you are interested in studying the effects of climate change on agriculture, your research topic could focus on how rising temperatures have impacted crop yields in certain regions over time.

To learn more about the basics of developing a research topic, consider our free research topic ideation webinar.

What constitutes a good research topic?

A strong research topic comprises three important qualities : originality, value and feasibility.

  • Originality – a good topic explores an original area or takes a novel angle on an existing area of study.
  • Value – a strong research topic provides value and makes a contribution, either academically or practically.
  • Feasibility – a good research topic needs to be practical and manageable, given the resource constraints you face.

To learn more about what makes for a high-quality research topic, check out this post .

What's the difference between a research topic and research problem?

A research topic and a research problem are two distinct concepts that are often confused. A research topic is a broader label that indicates the focus of the study , while a research problem is an issue or gap in knowledge within the broader field that needs to be addressed.

To illustrate this distinction, consider a student who has chosen “teenage pregnancy in the United Kingdom” as their research topic. This research topic could encompass any number of issues related to teenage pregnancy such as causes, prevention strategies, health outcomes for mothers and babies, etc.

Within this broad category (the research topic) lies potential areas of inquiry that can be explored further – these become the research problems . For example:

  • What factors contribute to higher rates of teenage pregnancy in certain communities?
  • How do different types of parenting styles affect teen pregnancy rates?
  • What interventions have been successful in reducing teenage pregnancies?

Simply put, a key difference between a research topic and a research problem is scope ; the research topic provides an umbrella under which multiple questions can be asked, while the research problem focuses on one specific question or set of questions within that larger context.

How can I find potential research topics for my project?

There are many steps involved in the process of finding and choosing a high-quality research topic for a dissertation or thesis. We cover these steps in detail in this video (also accessible below).

How can I find quality sources for my research topic?

Finding quality sources is an essential step in the topic ideation process. To do this, you should start by researching scholarly journals, books, and other academic publications related to your topic. These sources can provide reliable information on a wide range of topics. Additionally, they may contain data or statistics that can help support your argument or conclusions.

Identifying Relevant Sources

When searching for relevant sources, it’s important to look beyond just published material; try using online databases such as Google Scholar or JSTOR to find articles from reputable journals that have been peer-reviewed by experts in the field.

You can also use search engines like Google or Bing to locate websites with useful information about your topic. However, be sure to evaluate any website before citing it as a source—look for evidence of authorship (such as an “About Us” page) and make sure the content is up-to-date and accurate before relying on it.

Evaluating Sources

Once you’ve identified potential sources for your research project, take some time to evaluate them thoroughly before deciding which ones will best serve your purpose. Consider factors such as author credibility (are they an expert in their field?), publication date (is the source current?), objectivity (does the author present both sides of an issue?) and relevance (how closely does this source relate to my specific topic?).

By researching the current literature on your topic, you can identify potential sources that will help to provide quality information. Once you’ve identified these sources, it’s time to look for a gap in the research and determine what new knowledge could be gained from further study.

How can I find a good research gap?

Finding a strong gap in the literature is an essential step when looking for potential research topics. We explain what research gaps are and how to find them in this post.

How should I evaluate potential research topics/ideas?

When evaluating potential research topics, it is important to consider the factors that make for a strong topic (we discussed these earlier). Specifically:

  • Originality
  • Feasibility

So, when you have a list of potential topics or ideas, assess each of them in terms of these three criteria. A good topic should take a unique angle, provide value (either to academia or practitioners), and be practical enough for you to pull off, given your limited resources.

Finally, you should also assess whether this project could lead to potential career opportunities such as internships or job offers down the line. Make sure that you are researching something that is relevant enough so that it can benefit your professional development in some way. Additionally, consider how each research topic aligns with your career goals and interests; researching something that you are passionate about can help keep motivation high throughout the process.

How can I assess the feasibility of a research topic?

When evaluating the feasibility and practicality of a research topic, it is important to consider several factors.

First, you should assess whether or not the research topic is within your area of competence. Of course, when you start out, you are not expected to be the world’s leading expert, but do should at least have some foundational knowledge.

Time commitment

When considering a research topic, you should think about how much time will be required for completion. Depending on your field of study, some topics may require more time than others due to their complexity or scope.

Additionally, if you plan on collaborating with other researchers or institutions in order to complete your project, additional considerations must be taken into account such as coordinating schedules and ensuring that all parties involved have adequate resources available.

Resources needed

It’s also critically important to consider what type of resources are necessary in order to conduct the research successfully. This includes physical materials such as lab equipment and chemicals but can also include intangible items like access to certain databases or software programs which may be necessary depending on the nature of your work. Additionally, if there are costs associated with obtaining these materials then this must also be factored into your evaluation process.

Potential risks

It’s important to consider the inherent potential risks for each potential research topic. These can include ethical risks (challenges getting ethical approval), data risks (not being able to access the data you’ll need), technical risks relating to the equipment you’ll use and funding risks (not securing the necessary financial back to undertake the research).

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what are the different types of research projects

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

how to write a research proposal

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.  

Research Proposal Template

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  

what are the different types of research projects

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.  

what are the different types of research projects

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.  

     
  Arts programs  1,000-1,500 
University of Birmingham  Law School programs  2,500 
  PhD  2,500 
    2,000 
  Research degrees  2,000-3,500 

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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Types of Scholarly Articles

Engl105 - scholarly articles 101: types of scholarly articles.

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Research Articles

Review articles, tips & practice.

  • How to Read a Scholarly Article
  • Extend Your Knowledge

Sometimes a professor might ask you to find original research or may ask you to not use literature reviews/systematic reviews as sources, but what do those terms mean? How can we tell if our potential source meets our professor's criteria?

In a research article, an original study is conducted by the authors. They collect and analyze data, sharing their methods and results, and then draw conclusions from their analysis. The kind of study performed can vary (surveys, interviews, experiments, etc.), but in all cases, data is analyzed and a new argument is put forth. Research articles are considered primary sources.

  • Note: research articles will often contain a section titled "literature review" - this is a section that looks at other existing research as a foundation for their new idea. Simply seeing the words "literature review" does not automatically mean an article is a review article- it is important to look closer

Below is a screenshot of the abstract of the article Effectiveness of Health Coaching in Diabetes Control and Lifestyle Improvement: A Randomized-Controlled Trial , with some words underlined that let us know that a study was conducted and that this is a research article.

A screenshot of an abstract. The words "study," "controlled trial," "114 diabetic patients," "6-month period," "intervention group" are underlined

A review article gathers multiple research articles on a certain topic, summarizing and analyzing the arguments made in those articles. A review article might highlight patterns or gaps in the research, might show support for existing theories, or suggest new directions for research, but does not conduct original research on a subject. Review articles can be a great place to get an overview of the existing research on a subject. A review article is a secondary source.

  • Looking in the reference section of a literature or systematic review can be a good place to find original research studies.

Below is a screenshot of the abstract of the article The Effect of Dietary Glycaemic Index on Glycaemia in Patients with Type 2 Diabetes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials , with words underlined that clue us in that this is a review article.

A screenshot of an abstract. The words "systematic review," "meta-analysis," "selected from a number of databases" are underlined

Tips for identifying article type

Start by looking at the abstract to determine if a source might be a research article or a review article. If you're not sure after looking at the abstract, find the methods section for the source - what methods did the authors use? If they mention searching databases, it's most likely a review and if they mention conducting an experiment, survey, interview, etc., it's most likely a research article. If you're still unsure, feel free to reach out to a librarian and ask ! 

Let's Practice

Below are two different scholarly articles. Look at the abstract and the methods section- Which one is an original research study? Which one is a literature review?

  • Article 1- Research or Review?
  • Article 2- Research or Review?

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9 Best Marketing Research Methods to Know Your Buyer Better [+ Examples]

Ramona Sukhraj

Published: August 08, 2024

One of the most underrated skills you can have as a marketer is marketing research — which is great news for this unapologetic cyber sleuth.

marketer using marketer research methods to better understand her buyer personas

From brand design and product development to buyer personas and competitive analysis, I’ve researched a number of initiatives in my decade-long marketing career.

And let me tell you: having the right marketing research methods in your toolbox is a must.

Market research is the secret to crafting a strategy that will truly help you accomplish your goals. The good news is there is no shortage of options.

How to Choose a Marketing Research Method

Thanks to the Internet, we have more marketing research (or market research) methods at our fingertips than ever, but they’re not all created equal. Let’s quickly go over how to choose the right one.

what are the different types of research projects

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1. Identify your objective.

What are you researching? Do you need to understand your audience better? How about your competition? Or maybe you want to know more about your customer’s feelings about a specific product.

Before starting your research, take some time to identify precisely what you’re looking for. This could be a goal you want to reach, a problem you need to solve, or a question you need to answer.

For example, an objective may be as foundational as understanding your ideal customer better to create new buyer personas for your marketing agency (pause for flashbacks to my former life).

Or if you’re an organic sode company, it could be trying to learn what flavors people are craving.

2. Determine what type of data and research you need.

Next, determine what data type will best answer the problems or questions you identified. There are primarily two types: qualitative and quantitative. (Sound familiar, right?)

  • Qualitative Data is non-numerical information, like subjective characteristics, opinions, and feelings. It’s pretty open to interpretation and descriptive, but it’s also harder to measure. This type of data can be collected through interviews, observations, and open-ended questions.
  • Quantitative Data , on the other hand, is numerical information, such as quantities, sizes, amounts, or percentages. It’s measurable and usually pretty hard to argue with, coming from a reputable source. It can be derived through surveys, experiments, or statistical analysis.

Understanding the differences between qualitative and quantitative data will help you pinpoint which research methods will yield the desired results.

For instance, thinking of our earlier examples, qualitative data would usually be best suited for buyer personas, while quantitative data is more useful for the soda flavors.

However, truth be told, the two really work together.

Qualitative conclusions are usually drawn from quantitative, numerical data. So, you’ll likely need both to get the complete picture of your subject.

For example, if your quantitative data says 70% of people are Team Black and only 30% are Team Green — Shout out to my fellow House of the Dragon fans — your qualitative data will say people support Black more than Green.

(As they should.)

Primary Research vs Secondary Research

You’ll also want to understand the difference between primary and secondary research.

Primary research involves collecting new, original data directly from the source (say, your target market). In other words, it’s information gathered first-hand that wasn’t found elsewhere.

Some examples include conducting experiments, surveys, interviews, observations, or focus groups.

Meanwhile, secondary research is the analysis and interpretation of existing data collected from others. Think of this like what we used to do for school projects: We would read a book, scour the internet, or pull insights from others to work from.

So, which is better?

Personally, I say any research is good research, but if you have the time and resources, primary research is hard to top. With it, you don’t have to worry about your source's credibility or how relevant it is to your specific objective.

You are in full control and best equipped to get the reliable information you need.

3. Put it all together.

Once you know your objective and what kind of data you want, you’re ready to select your marketing research method.

For instance, let’s say you’re a restaurant trying to see how attendees felt about the Speed Dating event you hosted last week.

You shouldn’t run a field experiment or download a third-party report on speed dating events; those would be useless to you. You need to conduct a survey that allows you to ask pointed questions about the event.

This would yield both qualitative and quantitative data you can use to improve and bring together more love birds next time around.

Best Market Research Methods for 2024

Now that you know what you’re looking for in a marketing research method, let’s dive into the best options.

Note: According to HubSpot’s 2024 State of Marketing report, understanding customers and their needs is one of the biggest challenges facing marketers today. The options we discuss are great consumer research methodologies , but they can also be used for other areas.

Primary Research

1. interviews.

Interviews are a form of primary research where you ask people specific questions about a topic or theme. They typically deliver qualitative information.

I’ve conducted many interviews for marketing purposes, but I’ve also done many for journalistic purposes, like this profile on comedian Zarna Garg . There’s no better way to gather candid, open-ended insights in my book, but that doesn’t mean they’re a cure-all.

What I like: Real-time conversations allow you to ask different questions if you’re not getting the information you need. They also push interviewees to respond quickly, which can result in more authentic answers.

What I dislike: They can be time-consuming and harder to measure (read: get quantitative data) unless you ask pointed yes or no questions.

Best for: Creating buyer personas or getting feedback on customer experience, a product, or content.

2. Focus Groups

Focus groups are similar to conducting interviews but on a larger scale.

In marketing and business, this typically means getting a small group together in a room (or Zoom), asking them questions about various topics you are researching. You record and/or observe their responses to then take action.

They are ideal for collecting long-form, open-ended feedback, and subjective opinions.

One well-known focus group you may remember was run by Domino’s Pizza in 2009 .

After poor ratings and dropping over $100 million in revenue, the brand conducted focus groups with real customers to learn where they could have done better.

It was met with comments like “worst excuse for pizza I’ve ever had” and “the crust tastes like cardboard.” But rather than running from the tough love, it took the hit and completely overhauled its recipes.

The team admitted their missteps and returned to the market with better food and a campaign detailing their “Pizza Turn Around.”

The result? The brand won a ton of praise for its willingness to take feedback, efforts to do right by its consumers, and clever campaign. But, most importantly, revenue for Domino’s rose by 14.3% over the previous year.

The brand continues to conduct focus groups and share real footage from them in its promotion:

What I like: Similar to interviewing, you can dig deeper and pivot as needed due to the real-time nature. They’re personal and detailed.

What I dislike: Once again, they can be time-consuming and make it difficult to get quantitative data. There is also a chance some participants may overshadow others.

Best for: Product research or development

Pro tip: Need help planning your focus group? Our free Market Research Kit includes a handy template to start organizing your thoughts in addition to a SWOT Analysis Template, Survey Template, Focus Group Template, Presentation Template, Five Forces Industry Analysis Template, and an instructional guide for all of them. Download yours here now.

3. Surveys or Polls

Surveys are a form of primary research where individuals are asked a collection of questions. It can take many different forms.

They could be in person, over the phone or video call, by email, via an online form, or even on social media. Questions can be also open-ended or closed to deliver qualitative or quantitative information.

A great example of a close-ended survey is HubSpot’s annual State of Marketing .

In the State of Marketing, HubSpot asks marketing professionals from around the world a series of multiple-choice questions to gather data on the state of the marketing industry and to identify trends.

The survey covers various topics related to marketing strategies, tactics, tools, and challenges that marketers face. It aims to provide benchmarks to help you make informed decisions about your marketing.

It also helps us understand where our customers’ heads are so we can better evolve our products to meet their needs.

Apple is no stranger to surveys, either.

In 2011, the tech giant launched Apple Customer Pulse , which it described as “an online community of Apple product users who provide input on a variety of subjects and issues concerning Apple.”

Screenshot of Apple’s Consumer Pulse Website from 2011.

"For example, we did a large voluntary survey of email subscribers and top readers a few years back."

While these readers gave us a long list of topics, formats, or content types they wanted to see, they sometimes engaged more with content types they didn’t select or favor as much on the surveys when we ran follow-up ‘in the wild’ tests, like A/B testing.”  

Pepsi saw similar results when it ran its iconic field experiment, “The Pepsi Challenge” for the first time in 1975.

The beverage brand set up tables at malls, beaches, and other public locations and ran a blindfolded taste test. Shoppers were given two cups of soda, one containing Pepsi, the other Coca-Cola (Pepsi’s biggest competitor). They were then asked to taste both and report which they preferred.

People overwhelmingly preferred Pepsi, and the brand has repeated the experiment multiple times over the years to the same results.

What I like: It yields qualitative and quantitative data and can make for engaging marketing content, especially in the digital age.

What I dislike: It can be very time-consuming. And, if you’re not careful, there is a high risk for scientific error.

Best for: Product testing and competitive analysis

Pro tip:  " Don’t make critical business decisions off of just one data set," advises Pamela Bump. "Use the survey, competitive intelligence, external data, or even a focus group to give you one layer of ideas or a short-list for improvements or solutions to test. Then gather your own fresh data to test in an experiment or trial and better refine your data-backed strategy."

Secondary Research

8. public domain or third-party research.

While original data is always a plus, there are plenty of external resources you can access online and even at a library when you’re limited on time or resources.

Some reputable resources you can use include:

  • Pew Research Center
  • McKinley Global Institute
  • Relevant Global or Government Organizations (i.e United Nations or NASA)

It’s also smart to turn to reputable organizations that are specific to your industry or field. For instance, if you’re a gardening or landscaping company, you may want to pull statistics from the Environmental Protection Agency (EPA).

If you’re a digital marketing agency, you could look to Google Research or HubSpot Research . (Hey, I know them!)

What I like: You can save time on gathering data and spend more time on analyzing. You can also rest assured the data is from a source you trust.

What I dislike: You may not find data specific to your needs.

Best for: Companies under a time or resource crunch, adding factual support to content

Pro tip: Fellow HubSpotter Iskiev suggests using third-party data to inspire your original research. “Sometimes, I use public third-party data for ideas and inspiration. Once I have written my survey and gotten all my ideas out, I read similar reports from other sources and usually end up with useful additions for my own research.”

9. Buy Research

If the data you need isn’t available publicly and you can’t do your own market research, you can also buy some. There are many reputable analytics companies that offer subscriptions to access their data. Statista is one of my favorites, but there’s also Euromonitor , Mintel , and BCC Research .

What I like: Same as public domain research

What I dislike: You may not find data specific to your needs. It also adds to your expenses.

Best for: Companies under a time or resource crunch or adding factual support to content

Which marketing research method should you use?

You’re not going to like my answer, but “it depends.” The best marketing research method for you will depend on your objective and data needs, but also your budget and timeline.

My advice? Aim for a mix of quantitative and qualitative data. If you can do your own original research, awesome. But if not, don’t beat yourself up. Lean into free or low-cost tools . You could do primary research for qualitative data, then tap public sources for quantitative data. Or perhaps the reverse is best for you.

Whatever your marketing research method mix, take the time to think it through and ensure you’re left with information that will truly help you achieve your goals.

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Biosensor for Arsenic Determination in Different Types of Waters

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Biosensor for Arsenic Determination in Different Types of Waters

Sustainable, Safe, and Climate Smart Communities

Center for Environmental Solutions and Emergency Response (CESER), Office of Research and Development

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The project focuses on research on developing and testing prototypic sensors to determine arsenic and speciation in groundwater or drinking water. This technology will be deployed to characterize groundwater in superfund sites that have been polluted by arsenic. It will also be used to monitor water quality in community water system (CWS), especially in the area with underserved populations, such as Navajo people in the southwest.

The project supports the EPA’s CESER’s strategic goal of developing applied scientific and engineering solutions, technologies, and cutting-edge innovations to protect and remediate our air, land, and water resources, and critical infrastructure challenged by systemic and acute environmental contamination.

Goal:  The fellow will learn to develop a field deployable sensor and/or analysis to determine total arsenic and its speciation in groundwater or drinking water.

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Qualifications:  Graduate student or Ph.D. in one of the relevant fields (Environmental Chemistry, Analytical chemistry, Environmental Engineering, biochemistry).

Tao Li ([email protected])

For more information about EPA Research Fellowship opportunities, visit:  https://www.epa.gov/research-fellowships/nsf-graduate-research-internship-program-grip-graduate-research-fellowship-0

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Frequently asked questions

What is a research project.

A research project is an academic, scientific, or professional undertaking to answer a research question . Research projects can take many forms, such as qualitative or quantitative , descriptive , longitudinal , experimental , or correlational . What kind of research approach you choose will depend on your topic.

Frequently asked questions: Writing a research paper

The best way to remember the difference between a research plan and a research proposal is that they have fundamentally different audiences. A research plan helps you, the researcher, organize your thoughts. On the other hand, a dissertation proposal or research proposal aims to convince others (e.g., a supervisor, a funding body, or a dissertation committee) that your research topic is relevant and worthy of being conducted.

Formulating a main research question can be a difficult task. Overall, your question should contribute to solving the problem that you have defined in your problem statement .

However, it should also fulfill criteria in three main areas:

  • Researchability
  • Feasibility and specificity
  • Relevance and originality

Research questions anchor your whole project, so it’s important to spend some time refining them.

In general, they should be:

  • Focused and researchable
  • Answerable using credible sources
  • Complex and arguable
  • Feasible and specific
  • Relevant and original

All research questions should be:

  • Focused on a single problem or issue
  • Researchable using primary and/or secondary sources
  • Feasible to answer within the timeframe and practical constraints
  • Specific enough to answer thoroughly
  • Complex enough to develop the answer over the space of a paper or thesis
  • Relevant to your field of study and/or society more broadly

Writing Strong Research Questions

A research aim is a broad statement indicating the general purpose of your research project. It should appear in your introduction at the end of your problem statement , before your research objectives.

Research objectives are more specific than your research aim. They indicate the specific ways you’ll address the overarching aim.

Once you’ve decided on your research objectives , you need to explain them in your paper, at the end of your problem statement .

Keep your research objectives clear and concise, and use appropriate verbs to accurately convey the work that you will carry out for each one.

I will compare …

Your research objectives indicate how you’ll try to address your research problem and should be specific:

Research objectives describe what you intend your research project to accomplish.

They summarize the approach and purpose of the project and help to focus your research.

Your objectives should appear in the introduction of your research paper , at the end of your problem statement .

The main guidelines for formatting a paper in Chicago style are to:

  • Use a standard font like 12 pt Times New Roman
  • Use 1 inch margins or larger
  • Apply double line spacing
  • Indent every new paragraph ½ inch
  • Include a title page
  • Place page numbers in the top right or bottom center
  • Cite your sources with author-date citations or Chicago footnotes
  • Include a bibliography or reference list

To automatically generate accurate Chicago references, you can use Scribbr’s free Chicago reference generator .

The main guidelines for formatting a paper in MLA style are as follows:

  • Use an easily readable font like 12 pt Times New Roman
  • Set 1 inch page margins
  • Include a four-line MLA heading on the first page
  • Center the paper’s title
  • Use title case capitalization for headings
  • Cite your sources with MLA in-text citations
  • List all sources cited on a Works Cited page at the end

To format a paper in APA Style , follow these guidelines:

  • Use a standard font like 12 pt Times New Roman or 11 pt Arial
  • If submitting for publication, insert a running head on every page
  • Apply APA heading styles
  • Cite your sources with APA in-text citations
  • List all sources cited on a reference page at the end

No, it’s not appropriate to present new arguments or evidence in the conclusion . While you might be tempted to save a striking argument for last, research papers follow a more formal structure than this.

All your findings and arguments should be presented in the body of the text (more specifically in the results and discussion sections if you are following a scientific structure). The conclusion is meant to summarize and reflect on the evidence and arguments you have already presented, not introduce new ones.

The conclusion of a research paper has several key elements you should make sure to include:

  • A restatement of the research problem
  • A summary of your key arguments and/or findings
  • A short discussion of the implications of your research

Don’t feel that you have to write the introduction first. The introduction is often one of the last parts of the research paper you’ll write, along with the conclusion.

This is because it can be easier to introduce your paper once you’ve already written the body ; you may not have the clearest idea of your arguments until you’ve written them, and things can change during the writing process .

The way you present your research problem in your introduction varies depending on the nature of your research paper . A research paper that presents a sustained argument will usually encapsulate this argument in a thesis statement .

A research paper designed to present the results of empirical research tends to present a research question that it seeks to answer. It may also include a hypothesis —a prediction that will be confirmed or disproved by your research.

The introduction of a research paper includes several key elements:

  • A hook to catch the reader’s interest
  • Relevant background on the topic
  • Details of your research problem

and your problem statement

  • A thesis statement or research question
  • Sometimes an overview of the paper

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Knowledge Areas

  • Top 10 Project Management Knowledge Areas (PMBOK)
  • Project Integration Management – Know How To Integrate Processes
  • Project Scope Management – Know How To Manage Project Efficiently
  • Project Cost Management – Know How To Manage Your Budgets
  • Project Time Management – How To Optimize Project Schedule
  • Project Quality Management – How To Optimize Project Quality
  • What is Project Resource Management and How to Perform it?
  • How To Remove Project Clutter Using Konmari?
  • Project Communication Management – What Makes A Project Successful?
  • Project Risk Management – Know How to Mitigate Risks

What Is Project Procurement Management And How To Perform It?

Learn how to perform an effective project stakeholder management, pmp interview questions.

  • Top 50 PMP Exam Questions and Answers For 2024
  • Top 30+ Project Manager Interview Questions and Answers in 2024

Career Guidance

  • Project Manager Salary: How Much Does A Project Manager Earn?
  • How to Build an Impressive Project Manager Resume?
  • What are the Project Manager Roles and Responsibilities?
  • PMP vs PRINCE2 – Which Certification to Choose?

Project Management and Methodologies

Different types of project management you need to know.

what are the different types of research projects

Project management is a versatile independent discipline, including approaches, methodologies, and applications across various industries. From traditional  waterfall to agile scrum, project managers use a host of techniques to ensure the successful completion of projects .

This article discusses the types of project management, industries that use project management, and the various roles a project manager can take  on. Knowing the scope of project management will help aspiring professionals make wise decisions concerning their career paths and possible certifications, educational programs, or  Project Management Tutorials  that may be needed.

Types of Project Management Approaches and Methodologies

1. waterfall:.

The approach of Waterfall is linear and sequential; the phases are complete, one after the other, according to How to Become A Project Manager . The project managers use the waterfall approach mainly in projects that have rigidly defined requirements and where changes are not expected. Waterfall is good for projects—like building a house, in which one stage needs to be completed before another can start working or where tight constraints exist. A predictable result is required. That means that in the waterfall approach, there is a straightforward sequence from plan to execution, with a high degree of documentation and formal communication.

Agile methods are iterative and incremental, which involves tending towards small steps and the ability to turn around quickly to change smoothly. Project managers widely use the Agile approach in industries where they expect turbulence or can’t know all the details at the start—independent of the industry, for example, in software development. The Agile Manifesto was written in 2001 by project managers in software development, which outlines the 12 principles that guide the Agile approach. The agile approach is adaptive, flexible, and focused on collaboration and continuous improvement.

Lean project management attempts to rid the project of non-essential elements and increase efficiency by focusing on customer value and emphasizing the entire project at the beginning so that it is in a position to identify areas responsible for generating value and reducing waste. It has its roots in the manufacturing industry, particularly in automobile manufacturing at Toyota. The lean itself demands the removal of garbage, smoothing of processes, and enhancement of quality.

Scrum is an agile framework that segregates projects into chunks of work called sprints. The level of collaboration, communication, and real-time adaptation goes toward meeting the evolving needs of a project at hand. This approach focuses on self-organizing teams and regular reviews in aligning a project according to client expectations. The Scrum approach focuses on transparency, inspection, and adaptation, using visual tools like the Scrum board.

Kanban focuses on continuous workflow and visualization management, which helps teams keep priorities and progress up-to-date. It can be represented through customized boards. Kanban is a great help in projects related to flexibility and adaptability. The Kanban approach is based on three paths: visualization of work, limiting Work in Progress, and continuous enhancement of the process.

6. Six Sigma

Six Sigma strives to increase project quality through data-driven analysis backed by process improvement to minimize errors. It follows methodologies such as DMAIC and DMADV in establishing the root causes of errors for correction, considering consistency and customer satisfaction. The approach emphasizes data analysis and statistical process control, and continuous improvement is incorporated.

7. Critical Path Method (CPM)

Using the CPM, a Project Manager can zero in on the task interdependencies of the mission-critical tasks involved in a project and identify which factors are going to be the most complex to get right. This schedule enables the team to manage its resources more efficiently and plan priorities accordingly. CPM is among the methodologies developed for finding critical paths and managing resources effectively.

8. Critical Chain Project Management

Critical Chain Project Management provides a resource-based, budget-adherence-led process. It focuses on the essential activities at hand to receive optimized project deliverables for effective resource distribution and handling of the project’s limitations to meet its goals. The CCPM methodology is resource-centric and thus focuses on reducing multitasking.

Prism combines issues of sustainability with project management. This, therefore, includes, amongst other things, social and environmental responsibility. The Prism module aids project managers in infusing sustainability principles within a project design and implementation to reduce its overall ecological impacts and ensure benefits for organizations and society. The PRiSM method focuses on sustainability, environmental responsibility, and social impact.

Want to learn more about project management? Check out the PMP Certification Training and become certified today.

Types of Project Management Across Industries

There are the following types of project management across industries :

1. Construction

A construction project manager is someone who plans and manages building projects to completion. Project managers work with architects and engineers to construct a building within the planned time and budget, following the specifications laid down. Construction project managers need full knowledge of building codes, regulations, and safety standards.

IT project managers are responsible for running projects within the information technology domain. This could mean software development, hardware implementation, or even better infrastructure in the form of networking.IT project managers need advanced knowledge of technology. They can also explain technical concepts and ideas to less technical stakeholders. To ensure the successful running of IT projects, they need to coordinate with developers, designers, and other associated IT people.

3. Software Development

Software development project managers participate in the development of software applications, websites, or digital products while working intimately with the developers, designers, and product managers to deliver the final product according to the requirements formulated by the client. They must, therefore, have a strong knowledge base about methodologies associated with software development and the capability to run complex technical projects.

4. Health Care

In healthcare, project managers are called upon to manage projects in hospitals or other healthcare facilities. Most of the time, they require sufficient knowledge about legislation and regulations concerning healthcare. Healthcare project managers work closely with medical professionals, administrators, and other stakeholders to ensure the success of healthcare projects.

Energy project managers run projects to produce, distribute, and conserve energy resources. This could be through the development of power plants, renewable energy installations, or energy efficiency projects. Energy project managers need to be knowledgeable about energy technologies and manage complex projects with a large number of stakeholders.

6. Marketing

The Marketing Project Managers coordinate the planning and execution of marketing campaigns, events, or promotional activities. They ensure the delivery of effective marketing solutions by working with cross-functional teams made up of designers, copywriters, and social media specialists. For example, a marketing project manager needs to know a little about marketing and how to run complex marketing projects.

Project Manager Types

1. executor.

They are strong project managers in the execution of plans, seeing everything through to fruition on time and within budget. They have developed resource management, progress control, and problem-solving expertise. Many project managers of executor projects get involved in day-to-day running projects, ensuring that all tasks are delivered on time.

Prophets are project managers who possess brilliant skills. In visualizing the big picture and communicating with stakeholders why projects are important to the business. It means aligning projects with organizational goals and selling them to executives. The prophet usually sets the general direction of the projects in order to make sure that they support the strategic objectives of an organization.

Experts are project managers who have obtained a wide breadth and depth of technical knowledge in a specific domain, like software development or construction. They are capable of providing technical leadership to all team members and stakeholders. Experts are good at ensuring projects conform to industry standards and best practices.Good project managers often lead technical teams to ensure that projects are delivered to the required technical standards.

It is the Gambler Project Manager who has the knack for negotiating uncertainty and making decisions in high-risk environments, mitigating risks, and excelling in projects with evolving requirements or tight deadlines. Normally, high-risk projects are assigned to gambler project managers and get them through despite all odds.The approach of the Gambler project managers eventually gives way to innovative solutions, but it requires careful risk management.

There are several different career paths in project management across many industries. Knowing the types of Project Management Masters Program and roles will help aspiring professionals to align themselves correspondingly with suitable certifications. Be it traditional, working in a waterfall approach or under an agile Scrum framework; there is room for you within the Project Management community.

Frequently Asked Questions

What are the four types of project management.

The four major types are Waterfall, Agile, Lean, and Critical Path Methods.

What are the four models of project management?

The four common models are Waterfall, Agile, Scrum, and Kanban.

What are the two main types of projects in project management?

The two major types are traditional, predictive, and agile, adaptive, projects.

What are the five stages of project management?

The five stages are Initiation, Planning, Execution, Monitoring and Controlling, and Closing.

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What Are the Different Types of Bullying?

Bullying can come in many different forms

Ridofranz / Getty Images

6 Types of Bullying

  • Mental Health Effects

When you think of bullying, the physically and verbally aggressive behavior that school children endure from their peers might be what immediately springs to mind. However, it's important to recognize that bully can come in many different forms. Just because it doesn't involve physical or verbal aggression doesn't mean that it doesn't count as bullying. In fact, there are actually six different kinds of bullying: physical, verbal, relational, cyber, sexual, and prejudicial.

These types of bullying often overlap. Bullies frequently use more than one form to abuse a victim. Moreover, bullying isn't limited to kids and teenagers. Adults can also be guilty of bullying, too.

At a Glance

Bullying is a common problem among school-age kids, but it can affect anyone of any age. This intentional aggressive behavior is often about intimidation and control, and it can range from overt acts of violence to more subtle forms of emotional intimidation. Being able to recognize the different forms that bullying can take, including physical, verbal, relational, cyber, sexual, and prejudicial, is important. It can take a heavy toll on victims, so spotting the signs and taking action is crucial.

What Exactly Is Bullying?

Bullying is defined as any intentional, repeated aggressive behavior directed by a perpetrator against a target in the same age group.

One of the most noteworthy components of bullying is an imbalance of power between the bully and the victim.

Sometimes, the power imbalance is obvious when, for example, a bigger, stronger kid bullies a weaker, smaller kid or when a group of people bullies a single individual. However, sometimes the power imbalance is more difficult to discern because it involves less obvious factors, such as differences in popularity, intelligence, or ability, or knowledge of the information the victim finds embarrassing.

Bullying falls into six categories, some of which are more obvious than others. They include:

  • Physical bullying
  • Verbal bullying
  • Relational bullying

Cyberbullying

  • Sexual bullying
  • Prejudicial bullying

Physical Bullying

Physical bullying is the most obvious type of bullying and what many people think of when they imagine this kind of aggression .

Physical bullying involves any assault on a person's body, including hitting, kicking, tripping, or pushing. It can also extend to inappropriate hand gestures or stealing or breaking a victims' belongings.

Physical bullying is perpetrated by an individual or group of individuals who are bigger or stronger than the individual being targeted.

If a physical altercation happens between two people of similar size and strength, it's not considered physical bullying.

Studies have shown that boys are more likely to be involved in physical bullying than girls. For example, research has found that boys are more likely to be both the perpetrators and victims of physical bullying.

Some research suggests that such differences stem from gender differences in socialization. Boys are socialized to use direct aggression, whereas girls are socialized to express aggression indirectly.

Verbal Bullying

Verbal bullying involves using spoken or written words to insult or intimidate a victim. It includes name-calling, teasing, and even threats.

One study found that verbal bullying was the most common form of bullying. Boys experienced this type of bullying at a slightly higher rate than girls, and most were bullied by their own friends.

Verbal bullying isn't always easy to recognize because it often takes place when authority figures aren't around. Moreover, a bully can pass it off as good-natured ribbing between friends. As a result, it can be difficult for the victim to prove. Therefore, this form of bullying can become a long-term source of stress and anxiety.

Relational Bullying

Relational bullying, which is also referred to as relational aggression or social bullying, involves actions intended to harm a victim's reputation or relationships. It can include embarrassing the victim in public, spreading rumors, purposely leaving them out of social situations, or ostracizing them from a group.

Unlike more overt types of bullying, it is especially sly and insidious because it involves social manipulation.

Relational bullying is often associated with so-called "mean girls." However, while research has shown girls are more often the victims of relational bullying than boys, both boys are more likely to be perpetrators of this type of bullying.

On the other hand, studies suggest that girls who engage in relational bullying have worse adjustment problems , including issues maintaining fulfilling and positive relationships.

Relational bullying can lead to isolation , loneliness , depression, and social anxiety. Unfortunately, research indicates that teachers, school counselors, and other educational staff tend to feel relational bullying is less serious and have less empathy for victims of relational bullying than victims of physical and verbal bullying.

This may be because the severity of relational bullying is more challenging to detect. Physical and verbal bullying results in disciplinary action toward the perpetrator around 50% of the time, whereas this response only happens 10% of the time with relational bullying

Cyberbullying is bullying that happens via electronic devices like computers, smart phones, and tablets. It can take place over text messages, social media, apps, or online forums and involves posting or sending harmful content, including messages and photos, and sharing personal information that causes humiliation.

Research by the Cyberbullying Research Center shows that 15% of 9- to 12-year-olds and 37% of 13- to 17-year-olds have experienced cyberbullying at some point in their lives.

In-person bullying is still more prevalent than cyberbullying but cyberbullying is a growing problem. Not only are perpetrators of cyberbullying less likely to be caught, but the online nature of cyberbullying can also be especially damaging to victims.

People have their devices on them all day, every day, so if they're being cyberbullied, they never get a break, even in their homes.

Similarly, targets of cyberbullying may be constantly reminded of the online bullying they've endured because, even if they block the cyberbully, others may see and share the evidence.

Sexual Bullying

Sexual bullying is online or in-person bullying that involves sexual comments or actions, including sexual jokes and name-calling, crude gestures, spreading sexual rumors, sending sexual photos or videos, and touching or grabbing someone without permission.

Sexual bullying and harassment are remarkably widespread. A 2019 study found that 81% of women and 43% of men experienced sexual harassment or assault at some point in their lifetime.

Meanwhile, sexting, sending or receiving sexually explicit messages or images between electronic devices, is becoming increasingly common.

Research shows that among kids between the ages of 11 and 17, 15% of them sent sexts and 27% received sexts; the prevalence of the behavior increases as adolescents age.

When sexts are sent without consent, such as when private nude photos or videos of an individual are widely shared among a peer group, it can lead to sexual bullying and even sexual assault .

Prejudicial Bullying

Prejudicial bullying involves online or in-person bullying based on the target's race, ethnicity, religion, or sexual orientation . It is based on stereotypes and is often a result of the belief that some people deserve to be treated with less respect than others.

Though prejudicial bullying has been studied less than other types of bullying, research indicates that ethnic and sexual minorities are more likely to be bullied than their peers.

However, ethnic minorities that attend more ethnically diverse schools experience less bullying than those in schools that are more ethnically homogenous.

How Common Is Bullying?

Bullying is widespread and can negatively impact both bullying victims and the bullies themselves. A 2019 survey by the Centers for Disease Control and Prevention (CDC) found that 19.5% of ninth through twelfth graders were bullied on school property in the 12 months prior to completing the questionnaire.

Moreover, a study by the World Health Organization (WHO) conducted in 2013 and 2014 in 42 countries in Europe and North America found that, on average, 14% of 11-year-old boys and 11% of 11-year-old girls were bullied at least twice in the previous two to three months.

Mental Health Effects of Bullying

People who are bullied can experience a plethora of short- and long-term problems , including depression and anxiety, social withdrawal , substance abuse, difficulties at school or work such as underachieving and poor attendance, and even suicide .

In addition, children who are targets of bullying may become victims or perpetrators of violence later in life. Meanwhile, those who bully others are more likely to get into fights and vandalize property, abuse drugs and alcohol, have criminal convictions in adulthood , and abuse their romantic partners and children .

Even people who simply observe bullying can experience issues, including mental health difficulties and increased substance use.

Bullying can have lasting mental health effects, which is why it's so important to recognize it and address it as soon as possible. While physical and verbal bullying are the most recognizable forms, other types are also common and often occur together. Relational, cyber, sexual, and prejudicial bullying are other types of bullying that are sometimes less readily apparent (but just as damaging).

If you are having suicidal thoughts, contact the National Suicide Prevention Lifeline at 988 for support and assistance from a trained counselor. If you or a loved one are in immediate danger, call 911.

For more mental health resources, see our National Helpline Database .

Krešić Ćorić M, Kaštelan A. Bullying through the Internet - Cyberbullying .  Psychiatr Danub . 2020;32(Suppl 2):269-272.

Arseneault L. Annual research review: The persistent and pervasive impact of being bullied in childhood and adolescence: implications for policy and practice .  Journal of Child Psychology and Psychiatry . 2018;59(4):405-421. doi:10.1111/jcpp.12841

StopBullying.gov. What is bullying ?

Armitage R. Bullying in children: impact on child health .  BMJ Paediatr Open . 2021;5(1):e000939. doi:10.1136/bmjpo-2020-000939

Elmahdy M, Maashi NA, Hakami SO, et al. Prevalence of bullying and its association with health-related quality of life among adolescents in Jazan: A cross-sectional study .  Cureus . 2022;14(8):e28522. doi:10.7759/cureus.28522

Orpinas P, McNicholas C, Nahapetyan L. Gender differences in trajectories of relational aggression perpetration and victimization from middle to high school .  Aggress Behav . 2015;41(5):401-412. doi:10.1002/ab.21563

Centifanti LCM, Fanti KA, Thomson ND, Demetriou V, Anastassiou-Hadjicharalambous X. Types of relational aggression in girls are differentiated by callous-unemotional traits, peers and parental overcontrol .  Behavioral Sciences . 2015;5(4):518-536. doi:10.3390/bs5040518

Cook EE, Nickerson AB, Werth JM, Allen KP. Service providers’ perceptions of and responses to bullying of individuals with disabilities . J Intellect Disabil . 2017;21(4):277-296. doi:10.1177/1744629516650127

Kumar VL, Goldstein MA. Cyberbullying and adolescents .  Curr Pediatr Rep . 2020;8(3):86-92. doi:10.1007/s40124-020-00217-6

Cyberbullying Research Center. Tween Cyberbullying in 2020 .

Cyberbullying Research Center. 2019 Cyberbullying Data .

Graber D. Raising Humans in a Digital World: Helping Kids Build a Healthy Relationship with Technology . HarperCollins Leadership; 2019.

Stop Street Harassment. National studies .

Madigan S, Ly A, Rash CL, Van Ouytsel J, Temple JR. Prevalence of multiple forms of sexting behavior among youth: A systematic review and meta-analysis .  JAMA Pediatr . 2018;172(4):327-335. doi:10.1001/jamapediatrics.2017.5314

Menesini E, Salmivalli C. Bullying in schools: The state of knowledge and effective interventions .  Psychology, Health & Medicine . 2017;22(sup1):240-253. doi: 10.1080/13548506.2017.1279740

Centers for Disease Control and Prevention. YRBSS | Youth Risk Behavior Surveillance System | Data | Adolescent and School Health . Cdc.gov. 2019.

World Health Organization. Health Behaviour In School-Aged Children (HBSC) .

StopBullying.gov. Effects of Bullying .

By Cynthia Vinney, PhD Cynthia Vinney, PhD is an expert in media psychology and a published scholar whose work has been published in peer-reviewed psychology journals.

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