what is purpose of conducting research

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What is Research? – Purpose of Research

• By DiscoverPhDs
• September 10, 2020

The purpose of research is to enhance society by advancing knowledge through the development of scientific theories, concepts and ideas. A research purpose is met through forming hypotheses, collecting data, analysing results, forming conclusions, implementing findings into real-life applications and forming new research questions.

What is Research

Simply put, research is the process of discovering new knowledge. This knowledge can be either the development of new concepts or the advancement of existing knowledge and theories, leading to a new understanding that was not previously known.

As a more formal definition of research, the following has been extracted from the Code of Federal Regulations :

While research can be carried out by anyone and in any field, most research is usually done to broaden knowledge in the physical, biological, and social worlds. This can range from learning why certain materials behave the way they do, to asking why certain people are more resilient than others when faced with the same challenges.

The use of ‘systematic investigation’ in the formal definition represents how research is normally conducted – a hypothesis is formed, appropriate research methods are designed, data is collected and analysed, and research results are summarised into one or more ‘research conclusions’. These research conclusions are then shared with the rest of the scientific community to add to the existing knowledge and serve as evidence to form additional questions that can be investigated. It is this cyclical process that enables scientific research to make continuous progress over the years; the true purpose of research.

What is the Purpose of Research

From weather forecasts to the discovery of antibiotics, researchers are constantly trying to find new ways to understand the world and how things work – with the ultimate goal of improving our lives.

The purpose of research is therefore to find out what is known, what is not and what we can develop further. In this way, scientists can develop new theories, ideas and products that shape our society and our everyday lives.

Although research can take many forms, there are three main purposes of research:

• Exploratory: Exploratory research is the first research to be conducted around a problem that has not yet been clearly defined. Exploration research therefore aims to gain a better understanding of the exact nature of the problem and not to provide a conclusive answer to the problem itself. This enables us to conduct more in-depth research later on.
• Descriptive: Descriptive research expands knowledge of a research problem or phenomenon by describing it according to its characteristics and population. Descriptive research focuses on the ‘how’ and ‘what’, but not on the ‘why’.
• Explanatory: Explanatory research, also referred to as casual research, is conducted to determine how variables interact, i.e. to identify cause-and-effect relationships. Explanatory research deals with the ‘why’ of research questions and is therefore often based on experiments.

Characteristics of Research

There are 8 core characteristics that all research projects should have. These are:

• Empirical  – based on proven scientific methods derived from real-life observations and experiments.
• Logical  – follows sequential procedures based on valid principles.
• Cyclic  – research begins with a question and ends with a question, i.e. research should lead to a new line of questioning.
• Controlled  – vigorous measures put into place to keep all variables constant, except those under investigation.
• Hypothesis-based  – the research design generates data that sufficiently meets the research objectives and can prove or disprove the hypothesis. It makes the research study repeatable and gives credibility to the results.
• Analytical  – data is generated, recorded and analysed using proven techniques to ensure high accuracy and repeatability while minimising potential errors and anomalies.
• Objective  – sound judgement is used by the researcher to ensure that the research findings are valid.
• Statistical treatment  – statistical treatment is used to transform the available data into something more meaningful from which knowledge can be gained.

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Types of Research

Research can be divided into two main types: basic research (also known as pure research) and applied research.

Basic Research

Basic research, also known as pure research, is an original investigation into the reasons behind a process, phenomenon or particular event. It focuses on generating knowledge around existing basic principles.

Basic research is generally considered ‘non-commercial research’ because it does not focus on solving practical problems, and has no immediate benefit or ways it can be applied.

While basic research may not have direct applications, it usually provides new insights that can later be used in applied research.

Applied Research

Applied research investigates well-known theories and principles in order to enhance knowledge around a practical aim. Because of this, applied research focuses on solving real-life problems by deriving knowledge which has an immediate application.

Methods of Research

Research methods for data collection fall into one of two categories: inductive methods or deductive methods.

Inductive research methods focus on the analysis of an observation and are usually associated with qualitative research. Deductive research methods focus on the verification of an observation and are typically associated with quantitative research.

Qualitative Research

Qualitative research is a method that enables non-numerical data collection through open-ended methods such as interviews, case studies and focus groups .

It enables researchers to collect data on personal experiences, feelings or behaviours, as well as the reasons behind them. Because of this, qualitative research is often used in fields such as social science, psychology and philosophy and other areas where it is useful to know the connection between what has occurred and why it has occurred.

Quantitative Research

Quantitative research is a method that collects and analyses numerical data through statistical analysis.

It allows us to quantify variables, uncover relationships, and make generalisations across a larger population. As a result, quantitative research is often used in the natural and physical sciences such as engineering, biology, chemistry, physics, computer science, finance, and medical research, etc.

What does Research Involve?

Research often follows a systematic approach known as a Scientific Method, which is carried out using an hourglass model.

A research project first starts with a problem statement, or rather, the research purpose for engaging in the study. This can take the form of the ‘ scope of the study ’ or ‘ aims and objectives ’ of your research topic.

Subsequently, a literature review is carried out and a hypothesis is formed. The researcher then creates a research methodology and collects the data.

The data is then analysed using various statistical methods and the null hypothesis is either accepted or rejected.

In both cases, the study and its conclusion are officially written up as a report or research paper, and the researcher may also recommend lines of further questioning. The report or research paper is then shared with the wider research community, and the cycle begins all over again.

Although these steps outline the overall research process, keep in mind that research projects are highly dynamic and are therefore considered an iterative process with continued refinements and not a series of fixed stages.

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How to Properly and Effectively Conduct Research in Five Steps

Researching is a valuable skill that can help you in school, work, and beyond. This blog post breaks down the research process into five easy-to-follow steps to teach you how to conduct research properly and effectively.

Conducting Research: Table of Contents

What is Research?

Steps to Conducting Research

In an age where misinformation is rampant, knowing how to correctly conduct research is a skill that will set you apart from others. This blog post goes over what research is and breaks down the process into five straightforward steps.

What Is Research?

The word research is derived from the Middle French word “recerche,” which means “to seek.” That term came from the Old French word “recerchier,” meaning “search.” But what exactly is being sought during research? Knowledge and information.

Research is the methodical process of collecting and analyzing data to expand your knowledge, so you can have enough information to answer a question or describe, explain, or predict an issue or observation.

Research is important because it helps you see the world as it really is (facts) and not as you or others think it is (opinions).

The meaning of research may sound quite heavy and significant, but that’s because it is. Proper research guides you to weed out wrong information. Today, having that skill is vital. Below, we’ll teach you how to do research in five easy-to-follow steps.

It’s essential to note that there are different types of research:

• Exploratory research identifies a problem or question.
• Constructive research examines hypotheses and offers solutions.
• Empirical research tests the feasibility of a solution using data.

That being said, the research process may differ based on the purpose of the project. Take the measures below as a general guideline, and be prepared to make changes or take additional steps.

Also, keep in mind that conducting proper research is not easy. You should start with a mindset of being ready to use a lot of time and effort to obtain the information you need.

1. Prepare for Research

Preparing for research is an extensive step in itself. You must:

• Choose a topic or carefully analyze the assignment given to you.
• Craft a research question and hypothesis.
• Plan out your research.
• Create a research log.
• Transform your hypothesis into a working thesis.

2. Understand and Evaluate Sources

Once you have meticulously prepared for research, you should have a thorough understanding of the different types of sources. Doing this helps you learn which types would best fit your research project.

• Primary sources provide direct knowledge and evidence based on your research question.
• Secondary sources provide descriptions or interpretations of primary sources.
• Tertiary sources provide summaries of the primary or secondary sources without providing additional insights.

The data and information you’re seeking can be found in various mediums. The following list shows the types most commonly used in academic research and writing:

• Academic journals
• Books and textbooks
• Government and legal documents

The information you need doesn’t always have to come in the form of printed materials. It can also be found in:

• Multimedia (like radio and television podcasts, or recorded public meetings)
• Social media

Evaluate Your Sources

You must evaluate your sources to ensure that they are credible and authoritative. The information you find on websites, blogs, and social media is not as reliable as that found in academic journals, for example. Always verify the information you find, and then verify again!

To evaluate sources, you should:

• Find out as much as you can about the source
• Determine the intended audience
• Ask yourself if it is fact, opinion, or propaganda
• Analyze the evidence used
• Check how timely the source is
• Cross-check the information

3. Use the Library, Internet, and Conduct Field Research

So, where can you find all these sources? The library is a good place to start because the library staff may be able to guide you in the right direction as to where you should begin your research. If you’re a student, your school library can provide access to:

• Reference works
• Encyclopedias
• Almanacs and atlases
• Catalogs and databases
• And countless books

The internet does provide easy and fast access to all sorts of data, including incorrect information. That’s why it’s important to verify everything you find there. However, the internet is also home to reliable and credible information.

You can find trustworthy sources online, including scholarly works on Google Scholar , for example. Government sites, like the Library of Congress, provide online collections of articles. There are also many websites for reputable publications, such as the New York Times . Make sure to include the latest information on the specific topic.

Lastly, you can also conduct research by collecting data yourself. You can do this in the form of interviews, observations, opinion surveys, and more.

Don’t Forget

Update your working bibliography as you conduct your research, and keep track of everything in your research log!

4. Think Critically and Takes Notes

When you’re researching, it’s important to read everything through a critical lens—don’t just accept what you see at face value. Always ask yourself questions like:

What’s the main idea?

What are the supporting ideas?

Who is the intended audience?

What’s the purpose?

Is there anything else I need to know that was left out?

Take as many notes as you can and look up anything confusing or unclear.

5. Decide on How To Integrate Sources Into Your Research Paper

Now that you have all the information you need, it’s time to figure out how you are going to integrate sources into your research paper.

Are you going to quote your sources directly? Doing so can help you establish credibility, but be sure to limit this, as your research paper should be mainly your ideas and findings (based on theoretical framework). You can also paraphrase or summarize your sources, but make sure to precede them with the author of the source.

If you’re using visuals in your research project, make sure to include them seamlessly. Ensure that there’s a purpose for the visual content (it can demonstrate something better than words alone can). Add the visual immediately after an explanation of it, and take some time to clarify why it’s relevant to the research project.

The most important part of this step is that you do not plagiarize! Always cite your sources. The only information that need not be cited is:

• Common knowledge
• Your findings from field research

Research Takes Time

The truth is that if you want to conduct proper research, you must be willing to dedicate a significant amount of time to it. And properly conducted research is essential to a well-written and credible research paper.

In other words, there are no cutting corners when it comes to research. However, as an advanced, multilingual writing assistant, LanguageTool can take care of the grammar, spelling, and punctuation aspects of your research project. It can help you in paraphrasing sentences to align with the formality required for an academic paper while also ensuring simplicity, conciseness, and fluency when necessary.

LanguageTool lets you focus on the most important aspects of writing a research paper—research and writing—while it focuses on correcting all types of errors. Its advanced technology can also help you avoid plagiarism through paraphrasing. In this case, it’s imperative that if you use this feature, you still include the source in the references or works cited page.

LanguageTool is free to use! Give it a try.

Lunsford, Andrea A. The Everyday Writer with Exercises , 2010.

Types of Sources - Purdue OWL® - Purdue University. “Types of Sources - Purdue OWL® - Purdue University,” n.d. https://owl.purdue.edu/owl/research_and_citation/conducting_research/research_overview/sources.html.

General Guidelines - Purdue OWL® - Purdue University. “General Guidelines - Purdue OWL® - Purdue University,” n.d. https://owl.purdue.edu/owl/research_and_citation/conducting_research/evaluating_sources_of_information/general_guidelines.html.

Ryan, Eoghan. “Types of Sources Explained | Examples & Tips.” Scribbr, May 19, 2022. https://www.scribbr.com/working-with-sources/types-of-sources/.

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Purpose of Research

The purpose of research can be a complicated issue and varies across different scientific fields and disciplines. At the most basic level, science can be split, loosely, into two types, 'pure research' and 'applied research'.

This article is a part of the guide:

• Definition of Research
• Research Basics
• What is Research?
• Steps of the Scientific Method
• What is the Scientific Method?

Browse Full Outline

• 1 Research Basics
• 2.1 What is Research?
• 2.2 What is the Scientific Method?
• 2.3 Empirical Research
• 3.1 Definition of Research
• 3.2 Definition of the Scientific Method
• 3.3 Definition of Science
• 4 Steps of the Scientific Method
• 5 Scientific Elements
• 6 Aims of Research
• 7 Purpose of Research
• 8 Science Misconceptions

Both of these types follow the same structures and protocols for propagating and testing hypotheses and predictions, but vary slightly in their ultimate purpose.

An excellent example for illustrating the difference is by using pure and applied mathematics. Pure maths is concerned with understanding underlying abstract principles and describing them with elegant theories. Applied maths, by contrast, uses these equations to explain real life phenomena, such as mechanics, ecology and gravity.

Pure Scientific Research

Some science, often referred to as 'pure science', is about explaining the world around us and trying to understand how the universe operates. It is about finding out what is already there without any greater purpose of research than the explanation itself. It is a direct descendent of philosophy, where philosophers and scientists try to understand the underlying principles of existence.

Whilst offering no direct benefits, pure research often has indirect benefits, which can contribute greatly to the advancement of humanity.

For example, pure research into the structure of the atom has led to x-rays, nuclear power and silicon chips.

Applied Scientific Research

Applied scientists might look for answers to specific questions that help humanity, for example medical research or environmental studies. Such research generally takes a specific question and tries to find a definitive and comprehensive answer.

The purpose of research is about testing theories, often generated by pure science, and applying them to real situations, addressing more than just abstract principles.

Applied scientific research can be about finding out the answer to a specific problem, such as 'Is global warming avoidable?' or 'Does a new type of medicine really help the patients?'

Generating Testable Data

However, they all involve generating a theory to explain why something is happening and using the full battery of scientific tools and methods to test it rigorously.

This process opens up new areas for further study and a continued refinement of the hypotheses.

Observation is not accurate enough, with statistically testable and analyzable data the only results accepted across all scientific disciplines. The exact nature of the experimental process may vary, but they all adhere to the same basic principles.

Scientists can be opinionated, like anybody else, and often will adhere to their own theories, even if the evidence shows otherwise. Research is a tool by which they can test their own, and each others' theories, by using this antagonism to find an answer and advance knowledge.

The purpose of research is really an ongoing process of correcting and refining hypotheses , which should lead to the acceptance of certain scientific truths .

Whilst no scientific proof can be accepted as ultimate fact, rigorous testing ensures that proofs can become presumptions. Certain basic presumptions are made before embarking on any research project, and build upon this gradual accumulation of knowledge.

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Martyn Shuttleworth (Aug 2, 2008). Purpose of Research. Retrieved Aug 16, 2024 from Explorable.com: https://explorable.com/purpose-of-research

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Home Market Research

What is Research: Definition, Methods, Types & Examples

The search for knowledge is closely linked to the object of study; that is, to the reconstruction of the facts that will provide an explanation to an observed event and that at first sight can be considered as a problem. It is very human to seek answers and satisfy our curiosity. Let’s talk about research.

Content Index

What is Research?

What are the characteristics of research.

• Comparative analysis chart

Qualitative methods

Quantitative methods, 8 tips for conducting accurate research.

Research is the careful consideration of study regarding a particular concern or research problem using scientific methods. According to the American sociologist Earl Robert Babbie, “research is a systematic inquiry to describe, explain, predict, and control the observed phenomenon. It involves inductive and deductive methods.”

Inductive methods analyze an observed event, while deductive methods verify the observed event. Inductive approaches are associated with qualitative research , and deductive methods are more commonly associated with quantitative analysis .

Research is conducted with a purpose to:

• Identify potential and new customers
• Understand existing customers
• Set pragmatic goals
• Develop productive market strategies
• Address business challenges
• Put together a business expansion plan
• Identify new business opportunities
• Good research follows a systematic approach to capture accurate data. Researchers need to practice ethics and a code of conduct while making observations or drawing conclusions.
• The analysis is based on logical reasoning and involves both inductive and deductive methods.
• Real-time data and knowledge is derived from actual observations in natural settings.
• There is an in-depth analysis of all data collected so that there are no anomalies associated with it.
• It creates a path for generating new questions. Existing data helps create more research opportunities.
• It is analytical and uses all the available data so that there is no ambiguity in inference.
• Accuracy is one of the most critical aspects of research. The information must be accurate and correct. For example, laboratories provide a controlled environment to collect data. Accuracy is measured in the instruments used, the calibrations of instruments or tools, and the experiment’s final result.

What is the purpose of research?

There are three main purposes:

• Exploratory: As the name suggests, researchers conduct exploratory studies to explore a group of questions. The answers and analytics may not offer a conclusion to the perceived problem. It is undertaken to handle new problem areas that haven’t been explored before. This exploratory data analysis process lays the foundation for more conclusive data collection and analysis.

LEARN ABOUT: Descriptive Analysis

• Descriptive: It focuses on expanding knowledge on current issues through a process of data collection. Descriptive research describe the behavior of a sample population. Only one variable is required to conduct the study. The three primary purposes of descriptive studies are describing, explaining, and validating the findings. For example, a study conducted to know if top-level management leaders in the 21st century possess the moral right to receive a considerable sum of money from the company profit.

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• Explanatory: Causal research or explanatory research is conducted to understand the impact of specific changes in existing standard procedures. Running experiments is the most popular form. For example, a study that is conducted to understand the effect of rebranding on customer loyalty.

Here is a comparative analysis chart for a better understanding:

It begins by asking the right questions and choosing an appropriate method to investigate the problem. After collecting answers to your questions, you can analyze the findings or observations to draw reasonable conclusions.

When it comes to customers and market studies, the more thorough your questions, the better the analysis. You get essential insights into brand perception and product needs by thoroughly collecting customer data through surveys and questionnaires . You can use this data to make smart decisions about your marketing strategies to position your business effectively.

To make sense of your study and get insights faster, it helps to use a research repository as a single source of truth in your organization and manage your research data in one centralized data repository .

Types of research methods and Examples

Research methods are broadly classified as Qualitative and Quantitative .

Both methods have distinctive properties and data collection methods .

Qualitative research is a method that collects data using conversational methods, usually open-ended questions . The responses collected are essentially non-numerical. This method helps a researcher understand what participants think and why they think in a particular way.

Types of qualitative methods include:

• One-to-one Interview
• Focus Groups
• Ethnographic studies
• Text Analysis

Quantitative methods deal with numbers and measurable forms . It uses a systematic way of investigating events or data. It answers questions to justify relationships with measurable variables to either explain, predict, or control a phenomenon.

Types of quantitative methods include:

• Survey research
• Descriptive research
• Correlational research

LEARN MORE: Descriptive Research vs Correlational Research

Remember, it is only valuable and useful when it is valid, accurate, and reliable. Incorrect results can lead to customer churn and a decrease in sales.

It is essential to ensure that your data is:

• Valid – founded, logical, rigorous, and impartial.
• Accurate – free of errors and including required details.
• Reliable – other people who investigate in the same way can produce similar results.
• Timely – current and collected within an appropriate time frame.
• Complete – includes all the data you need to support your business decisions.

Gather insights

• Identify the main trends and issues, opportunities, and problems you observe. Write a sentence describing each one.
• Keep track of the frequency with which each of the main findings appears.
• Make a list of your findings from the most common to the least common.
• Evaluate a list of the strengths, weaknesses, opportunities, and threats identified in a SWOT analysis .
• Prepare conclusions and recommendations about your study.
• Act on your strategies
• Look for gaps in the information, and consider doing additional inquiry if necessary
• Plan to review the results and consider efficient methods to analyze and interpret results.

Review your goals before making any conclusions about your study. Remember how the process you have completed and the data you have gathered help answer your questions. Ask yourself if what your analysis revealed facilitates the identification of your conclusions and recommendations.

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2.1 Why is Research Important

Learning objectives.

By the end of this section, you will be able to:

• Explain how scientific research addresses questions about behavior
• Discuss how scientific research guides public policy
• Appreciate how scientific research can be important in making personal decisions

   Scientific research is a critical tool for successfully navigating our complex world. Without it, we would be forced to rely solely on intuition, other people’s authority, and blind luck. While many of us feel confident in our abilities to decipher and interact with the world around us, history is filled with examples of how very wrong we can be when we fail to recognize the need for evidence in supporting claims. At various times in history, we would have been certain that the sun revolved around a flat earth, that the earth’s continents did not move, and that mental illness was caused by possession (figure below). It is through systematic scientific research that we divest ourselves of our preconceived notions and superstitions and gain an objective understanding of ourselves and our world.

Some of our ancestors, across the work and over the centuries, believed that trephination – the practice of making a hole in the skull, as shown here – allowed evil spirits to leave the body, thus curing mental illness and other diseases (credit” “taiproject/Flickr)

   The goal of all scientists is to better understand the world around them. Psychologists focus their attention on understanding behavior, as well as the cognitive (mental) and physiological (body) processes that underlie behavior. In contrast to other methods that people use to understand the behavior of others, such as intuition and personal experience, the hallmark of scientific research is that there is evidence to support a claim. Scientific knowledge is empirical : It is grounded in objective, tangible evidence that can be observed time and time again, regardless of who is observing.

We can easily observe the behavior of others around us. For example, if someone is crying, we can observe that behavior. However, the reason for the behavior is more difficult to determine. Is the person crying due to being sad, in pain, or happy? Sometimes, asking about the underlying cognitions is as easy as asking the subject directly: “Why are you crying?” However, there are situations in which an individual is either uncomfortable or unwilling to answer the question honestly, or is incapable of answering. For example, infants would not be able to explain why they are crying. In other situations, it may be hard to identify exactly why you feel the way you do. Think about times when you suddenly feel annoyed after a long day. There may be a specific trigger for your annoyance (a loud noise), or you may be tired, hungry, stressed, or all of the above. Human behavior is often a complicated mix of a variety of factors. In such circumstances, the psychologist must be creative in finding ways to better understand behavior. This chapter explores how scientific knowledge is generated, and how important that knowledge is in forming decisions in our personal lives and in the public domain.

USE OF RESEARCH INFORMATION

   Trying to determine which theories are and are not accepted by the scientific community can be difficult, especially in an area of research as broad as psychology. More than ever before, we have an incredible amount of information at our fingertips, and a simple internet search on any given research topic might result in a number of contradictory studies. In these cases, we are witnessing the scientific community going through the process of coming to an agreement, and it could be quite some time before a consensus emerges. In other cases, rapidly developing technology is improving our ability to measure things, and changing our earlier understanding of how the mind works.

In the meantime, we should strive to think critically about the information we encounter by exercising a degree of healthy skepticism. When someone makes a claim, we should examine the claim from a number of different perspectives: what is the expertise of the person making the claim, what might they gain if the claim is valid, does the claim seem justified given the evidence, and what do other researchers think of the claim? Science is always changing and new evidence is alwaus coming to light, thus this dash of skepticism should be applied to all research you interact with from now on. Yes, that includes the research presented in this textbook.

Evaluation of research findings can have widespread impact. Imagine that you have been elected as the governor of your state. One of your responsibilities is to manage the state budget and determine how to best spend your constituents’ tax dollars. As the new governor, you need to decide whether to continue funding the D.A.R.E. (Drug Abuse Resistance Education) program in public schools (figure below). This program typically involves police officers coming into the classroom to educate students about the dangers of becoming involved with alcohol and other drugs. According to the D.A.R.E. website (www.dare.org), this program has been very popular since its inception in 1983, and it is currently operating in 75% of school districts in the United States and in more than 40 countries worldwide. Sounds like an easy decision, right? However, on closer review, you discover that the vast majority of research into this program consistently suggests that participation has little, if any, effect on whether or not someone uses alcohol or other drugs (Clayton, Cattarello, & Johnstone, 1996; Ennett, Tobler, Ringwalt, & Flewelling, 1994; Lynam et al., 1999; Ringwalt, Ennett, & Holt, 1991). If you are committed to being a good steward of taxpayer money, will you fund this particular program, or will you try to find other programs that research has consistently demonstrated to be effective?

The D.A.R.E. program continues to be popular in schools around the world despite research suggesting that it is ineffective.

It is not just politicians who can benefit from using research in guiding their decisions. We all might look to research from time to time when making decisions in our lives. Imagine you just found out that a close friend has breast cancer or that one of your young relatives has recently been diagnosed with autism. In either case, you want to know which treatment options are most successful with the fewest side effects. How would you find that out? You would probably talk with a doctor or psychologist and personally review the research that has been done on various treatment options—always with a critical eye to ensure that you are as informed as possible.

In the end, research is what makes the difference between facts and opinions. Facts are observable realities, and opinions are personal judgments, conclusions, or attitudes that may or may not be accurate. In the scientific community, facts can be established only using evidence collected through empirical research.

THE PROCESS OF SCIENTIFIC RESEARCH

   Scientific knowledge is advanced through a process known as the scientific method . Basically, ideas (in the form of theories and hypotheses) are tested against the real world (in the form of empirical observations), and those observations lead to more ideas that are tested against the real world, and so on. In this sense, the scientific process is circular. We continually test and revise theories based on new evidence.

Two types of reasoning are used to make decisions within this model: Deductive and inductive. In deductive reasoning, ideas are tested against the empirical world. Think about a detective looking for clues and evidence to test their “hunch” about whodunit. In contrast, in inductive reasoning, empirical observations lead to new ideas. In other words, inductive reasoning involves gathering facts to create or refine a theory, rather than testing the theory by gathering facts (figure below). These processes are inseparable, like inhaling and exhaling, but different research approaches place different emphasis on the deductive and inductive aspects.

Psychological research relies on both inductive and deductive reasoning.

   In the scientific context, deductive reasoning begins with a generalization—one hypothesis—that is then used to reach logical conclusions about the real world. If the hypothesis is correct, then the logical conclusions reached through deductive reasoning should also be correct. A deductive reasoning argument might go something like this: All living things require energy to survive (this would be your hypothesis). Ducks are living things. Therefore, ducks require energy to survive (logical conclusion). In this example, the hypothesis is correct; therefore, the conclusion is correct as well. Sometimes, however, an incorrect hypothesis may lead to a logical but incorrect conclusion. Consider the famous example from Greek philosophy. A philosopher decided that human beings were “featherless bipeds”. Using deductive reasoning, all two-legged creatures without feathers must be human, right? Diogenes the Cynic (named because he was, well, a cynic) burst into the room with a freshly plucked chicken from the market and held it up exclaiming “Behold! I have brought you a man!”

Deductive reasoning starts with a generalization that is tested against real-world observations; however, inductive reasoning moves in the opposite direction. Inductive reasoning uses empirical observations to construct broad generalizations. Unlike deductive reasoning, conclusions drawn from inductive reasoning may or may not be correct, regardless of the observations on which they are based. For example, you might be a biologist attempting to classify animals into groups. You notice that quite a large portion of animals are furry and produce milk for their young (cats, dogs, squirrels, horses, hippos, etc). Therefore, you might conclude that all mammals (the name you have chosen for this grouping) have hair and produce milk. This seems like a pretty great hypothesis that you could test with deductive reasoning. You go out an look at a whole bunch of things and stumble on an exception: The coconut. Coconuts have hair and produce milk, but they don’t “fit” your idea of what a mammal is. So, using inductive reasoning given the new evidence, you adjust your theory again for an other round of data collection. Inductive and deductive reasoning work in tandem to help build and improve scientific theories over time.

We’ve stated that theories and hypotheses are ideas, but what sort of ideas are they, exactly? A theory is a well-developed set of ideas that propose an explanation for observed phenomena. Theories are repeatedly checked against the world, but they tend to be too complex to be tested all at once. Instead, researchers create hypotheses to test specific aspects of a theory.

A hypothesis is a testable prediction about how the world will behave if our theory is correct, and it is often worded as an if-then statement (e.g., if I study all night, I will get a passing grade on the test). The hypothesis is extremely important because it bridges the gap between the realm of ideas and the real world. As specific hypotheses are tested, theories are modified and refined to reflect and incorporate the result of these tests (figure below).

The scientific method of research includes proposing hypotheses, conducting research, and creating or modifying theories based on results.

   To see how this process works, let’s consider a specific theory and a hypothesis that might be generated from that theory. As you’ll learn in a later chapter, the James-Lange theory of emotion asserts that emotional experience relies on the physiological arousal associated with the emotional state. If you walked out of your home and discovered a very aggressive snake waiting on your doorstep, your heart would begin to race and your stomach churn. According to the James-Lange theory, these physiological changes would result in your feeling of fear. A hypothesis that could be derived from this theory might be that a person who is unaware of the physiological arousal that the sight of the snake elicits will not feel fear.

A scientific hypothesis is also falsifiable, or capable of being shown to be incorrect. Recall from the introductory chapter that Sigmund Freud had lots of interesting ideas to explain various human behaviors (figure below). However, a major criticism of Freud’s theories is that many of his ideas are not falsifiable. The essential characteristic of Freud’s building blocks of personality, the id, ego, and superego, is that they are unconscious, and therefore people can’t observe them. Because they cannot be observed or tested in any way, it is impossible to say that they don’t exist, so they cannot be considered scientific theories. Despite this, Freud’s theories are widely taught in introductory psychology texts because of their historical significance for personality psychology and psychotherapy, and these remain the root of all modern forms of therapy.

Many of the specifics of (a) Freud’s theories, such ad (b) his division on the mind into the id, ego, and superego, have fallen out of favor in recent decades because they are not falsifiable (i.e., cannot be verified through scientific investigation).  In broader strokes, his views set the stage for much psychological thinking today, such as the idea that some psychological process occur at the level of the unconscious.

In contrast, the James-Lange theory does generate falsifiable hypotheses, such as the one described above. Some individuals who suffer significant injuries to their spinal columns are unable to feel the bodily changes that often accompany emotional experiences. Therefore, we could test the hypothesis by determining how emotional experiences differ between individuals who have the ability to detect these changes in their physiological arousal and those who do not. In fact, this research has been conducted and while the emotional experiences of people deprived of an awareness of their physiological arousal may be less intense, they still experience emotion (Chwalisz, Diener, & Gallagher, 1988).

Scientific research’s dependence on falsifiability allows for great confidence in the information that it produces. Typically, by the time information is accepted by the scientific community, it has been tested repeatedly.

Scientists are engaged in explaining and understanding how the world around them works, and they are able to do so by coming up with theories that generate hypotheses that are testable and falsifiable. Theories that stand up to their tests are retained and refined, while those that do not are discarded or modified. IHaving good information generated from research aids in making wise decisions both in public policy and in our personal lives.

Review Questions:

1. Scientific hypotheses are ________ and falsifiable.

a. observable

b. original

c. provable

d. testable

2. ________ are defined as observable realities.

a. behaviors

c. opinions

d. theories

3. Scientific knowledge is ________.

a. intuitive

b. empirical

c. permanent

d. subjective

4. A major criticism of Freud’s early theories involves the fact that his theories ________.

a. were too limited in scope

b. were too outrageous

c. were too broad

d. were not testable

Critical Thinking Questions:

1. In this section, the D.A.R.E. program was described as an incredibly popular program in schools across the United States despite the fact that research consistently suggests that this program is largely ineffective. How might one explain this discrepancy?

2. The scientific method is often described as self-correcting and cyclical. Briefly describe your understanding of the scientific method with regard to these concepts.

Personal Application Questions:

1. Healthcare professionals cite an enormous number of health problems related to obesity, and many people have an understandable desire to attain a healthy weight. There are many diet programs, services, and products on the market to aid those who wish to lose weight. If a close friend was considering purchasing or participating in one of these products, programs, or services, how would you make sure your friend was fully aware of the potential consequences of this decision? What sort of information would you want to review before making such an investment or lifestyle change yourself?

deductive reasoning

falsifiable

hypothesis:  (plural

inductive reasoning

Answers to Exercises

Review Questions: 

1. There is probably tremendous political pressure to appear to be hard on drugs. Therefore, even though D.A.R.E. might be ineffective, it is a well-known program with which voters are familiar.

2. This cyclical, self-correcting process is primarily a function of the empirical nature of science. Theories are generated as explanations of real-world phenomena. From theories, specific hypotheses are developed and tested. As a function of this testing, theories will be revisited and modified or refined to generate new hypotheses that are again tested. This cyclical process ultimately allows for more and more precise (and presumably accurate) information to be collected.

deductive reasoning:  results are predicted based on a general premise

empirical:  grounded in objective, tangible evidence that can be observed time and time again, regardless of who is observing

fact:  objective and verifiable observation, established using evidence collected through empirical research

falsifiable:  able to be disproven by experimental results

hypothesis:  (plural: hypotheses) tentative and testable statement about the relationship between two or more variables

inductive reasoning:  conclusions are drawn from observations

opinion:  personal judgments, conclusions, or attitudes that may or may not be accurate

theory:  well-developed set of ideas that propose an explanation for observed phenomena

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The purpose of qualitative research

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Research fills a vital and important role in society: it is the means by which discoveries are made, ideas are confirmed or refuted, events controlled or predicted and theory developed or refined. All of these functions contribute to the development of knowledge. However, no single research approach fulfills all of these functions, and the contribution of qualitative research is both vital and unique to the goals of research in general. Qualitative research enables us to make sense of reality, to describe and explain the social world and to develop explanatory models and theories. It is the primary means by which the theoretical foundations of social sciences may be constructed or re-examined.

Research is to see what everybody has seen and to think what nobody has thought. (Albert Szent-Gyorgy)

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Home » Research Methodology – Types, Examples and writing Guide

Research Methodology – Types, Examples and writing Guide

Table of Contents

Research Methodology

Definition:

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

Structure of Research Methodology

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

I. Introduction

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

II. Research Design

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

III. Data Collection Methods

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

IV. Data Analysis Methods

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

V. Ethical Considerations

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

VI. Limitations

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

VII. Conclusion

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

Research Methodology Types

Types of Research Methodology are as follows:

Quantitative Research Methodology

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

Qualitative Research Methodology

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

Mixed-Methods Research Methodology

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

Case Study Research Methodology

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

Action Research Methodology

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

Experimental Research Methodology

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

Survey Research Methodology

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

Grounded Theory Research Methodology

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

Research Methodology Example

An Example of Research Methodology could be the following:

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

Introduction:

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

Research Design:

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

Participants:

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

Intervention :

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

Data Collection:

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

Data Analysis:

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

Ethical Considerations:

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

Data Management:

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

Limitations:

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

Conclusion:

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

How to Write Research Methodology

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

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

When to Write Research Methodology

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

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

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

Applications of Research Methodology

Here are some of the applications of research methodology:

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

Purpose of Research Methodology

Research methodology serves several important purposes, including:

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

Advantages of Research Methodology

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

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

Research Methodology Vs Research Methods

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8 Reasons Why Research is Important and Steps to Conduct Research

Research is a vital component of today’s society and significantly impacts our lives. It is impossible to exaggerate the importance of research since it gives us important knowledge and insights into various facets of life. 

Research greatly influences our daily lives, from understanding diseases and discovering treatments to creating new technologies and inventions. However, this article will discuss eight factors that make research important and how it affects society. 

So, why is research important? Let’s get into the article to discover the answer to your question.

Table of Contents

Importance of Research

There are several reasons why research is important. In every aspect of our lives, research plays a vital role. These aspects may include:

• Making informed decisions, 
• Advancing technology and innovation, 
• Resolving real-world issues, 
• Enhancing education and learning, 
• Promoting economic growth, and 
• Ensuring that facts support laws and policies. 

Moreover, researchers can find new knowledge that advances our understanding of a particular topic by performing in-depth examinations and experiments. We may use this information to address problems in the real world and apply it to various sectors, including social sciences and medicine. 

We can make wiser decisions regarding our health, finances, and other matters because of the accurate and dependable knowledge we receive through research.

Why Research Matters: Uncovering the Top 8 Reasons

This section will cover the top reasons for the importance of research. Let’s get in to explore!

1. Acquire Knowledge Effectively

Research is a good method of learning about a certain subject. Researchers conduct lengthy studies and experiments to get insightful findings and collect and analyze data. By providing us deeper understanding and knowledge about the topic, this process helps us make better judgments. 

Whether you are a professional, a student, or just someone interested, research is a great way to learn new things and expand your knowledge.

2. Helps in Problem-Solving

Real-world problem-solving heavily relies on research. Researchers perform studies and experiments to determine the underlying causes of a certain problem and create methods to solve it. 

For example, social science research has assisted in addressing challenges like poverty, injustice, and prejudice, while medical research has contributed to discovering vaccinations and life-saving therapies. 

Research aids us in addressing some of the most difficult issues our society is now experiencing by offering answers supported by evidence.

3. Provides the Latest Information

Research gives us the most recent and accurate information about a given subject. Researchers revise their studies to account for changes when new revelations and data are discovered. 

This guarantees that we consistently use the most up-to-date and trustworthy information, enabling us to make better and more informed decisions. In order to succeed, you need to have access to the most recent knowledge, regardless of your line of work, whether it is business, school, or anything else.

4. Builds Credibility

Building credibility in your profession via research is beneficial. You show your knowledge and competence on a subject when you undertake research and publish your results. 

This might offer new professional growth and development prospects by establishing you as an authority in your sector. Furthermore, you demonstrate your dedication to accuracy and dependability by relying on evidence-based information, further boosting your credibility .

5. Helps in Business Success 

Businesses must conduct research if they want to succeed. Companies may find new possibilities, comprehend customer preferences, and create development plans by performing market research . 

Research also aids in spotting emerging trends and technology that might provide companies with a competitive edge. Research enables businesses to remain ahead of the curve and achieve long-term success by investing.

6. Discover and Seize Opportunities

Want to get benefits from new opportunities? Say yes to research. 

Finding and taking advantage of new opportunities is made easier by research. Research may assist you in spotting new trends and potential development areas, whether you are an entrepreneur, a student, or a professional. 

Keeping up with the most recent research will enable you to spot fresh chances for professional and personal growth, which will help you realize your objectives.

7. Introduces You to New Ideas

Another reason for the importance of research is it introduces you to various new ideas. You learn new concepts and methods of thinking through research. 

You can discover multiple theories, thoughts, and problem-solving methods by reading research papers and publications. This can deepen your comprehension of a topic and present fresh professional and personal development opportunities.

Let’s say you are an Instagram influencer and want new content ideas. By thoroughly researching new trends and problems people face nowadays, you will get multiple ideas for your content. 

8. Helps You to Reach People

Research makes reaching people and understanding their thoughts, attitudes, and behaviors possible. Researchers can gather data and use it to analyze it to acquire insights into the beliefs and attitudes of various groups of people by researching a certain issue. 

This information helps in understanding how and why individuals make decisions. Additionally, research can be used to identify consumer needs and preferences, allowing businesses to create targeted marketing campaigns.

Overall, research is a wonderful tool for interacting with people since it allows us to understand them better and make decisions based on their thoughts and feedback.

How to Improve Your Research Skills

As research is vital in every field, it is also an important task to improve your research skills. In this section, we will discover all the tips and tricks for mastering and making the most out of your research skills . 

1. Start with a Big Picture and Make Work Your Way Down

A clear idea of the larger picture is one of the most critical parts of conducting research. This entails having a wide awareness of the issue under consideration and the context in which it exists. 

Beginning with the large picture and working your way down might assist you in identifying the essential concepts and ideas most important to your research issue. Consider the situation where you are researching the impact of social media on mental health. In such a scenario, you may begin by studying the origins and development of social media, as well as its various uses and negative effects. 

You may then focus on certain platforms and their impact on mental health. However, you can find the most relevant sources of information and ensure your research is thorough and well-informed by having a clear awareness of the broader picture.

2. Identify Reliable Sources

Finding trustworthy sources of information is the next step after having a firm grasp of the larger picture. Peer-reviewed publications published by respected publishers and founded on reliable research methodologies are considered reliable. 

There are several methods for locating reliable sources of information. One of the most effective approaches is utilizing academic databases like JSTOR, Google Scholar, and PubMed.

These databases enable you to look for publications that have undergone peer review and have been issued by respectable publishers. To find trustworthy information sources, you may also speak with subject-respective experts, librarians, and other experts in your industry.

3. Validate Information from Multiple Sources

The next step is to validate the data you acquired from multiple sources after identifying your information sources. To make sure the data you’ve obtained from various sources is reliable and consistent, you should compare and contrast it.

Searching for confirming evidence from several sources is one technique to verify the information. Similar findings from several sources increase the likelihood that the data is accurate. 

To confirm that the writers of the sources you are utilizing are competent to write on the subject, you may also verify their qualifications and experience.

4. Take in New Information

Constantly absorbing fresh information is another important component of strengthening your research abilities. This entails staying up-to-date with the most recent findings and advancements inside and outside your profession. 

Reading blogs, signing up for academic journals and newsletters, attending conferences, and taking seminars are all fantastic methods to keep up with the most recent developments and trends in your profession.

5. Stay Organized  

Keeping organized is one of the most important aspects of conducting research. This entails recording the sources you have used, making notes, and putting your thoughts and ideas in a simple structure to find and comprehend.

By making it simple to save and manage sources, create citations and bibliographies, and make notes on the sources you have used, using a citation manager like Mendeley, EndNote, or Zotero may help you keep organized. 

You can also organize your thoughts and ideas to access and comprehend them by generating an outline or mind map. This helps you in staying on course and ensuring that your research is thorough and organized.

Steps to Conduct Research for Beginners

For new researchers, doing research may be a difficult task. However, it can be a rewarding and enjoyable experience with the right approach and mindset. 

Here are some steps that new researchers can take to conduct effective research:

1. Define Your Research Question

Defining your research question is the initial stage in every research project. It must be precise, understandable, and comprehensible. You may stay focused and be guided through the research process using a solid research question.

2. Conduct a Literature Review

It’s very important to perform a literature review before beginning your research. To do this, you must locate and read the relevant literature on the subject of your study. It can support your study and help you find gaps in existing knowledge and possible research avenues.

3. Choose Your Research Methodology

There are various research methodologies you can use in your research. These may include: 

• Interviews, 
• Experiments, and 
• Case studies. 

Selecting the technique that best suits your research topic is important to guarantee that you gather the data you need to answer your research question.

4. Collect and Analyze Data

Data collection may begin once your research topic has been established, a literature review has been completed, and your methodology has been decided upon. This includes gathering and recording data from various sources, including surveys, interviews, and experiments.

After gathering data, you must analyze it to conclude your research topic. Depending on the data you have gathered, you may need to employ statistical analysis, coding, or other procedures.

5. Interpret Your Results

Following data analysis, it’s critical to interpret your findings. This entails interpreting the information and coming to conclusions that address your research issue. When interpreting your results, it’s crucial to be unbiased and objective.

6. Communicate Your Findings

Sharing your results is the last stage. This entails succinctly and clearly articulating your study topic, technique, data gathering, analysis, and interpretation. To display your findings, you can utilize a variety of forms, including reports, presentations, and articles.

Although it requires patience, focus, and critical thinking, conducting research can be rewarding and interesting.

Why is Marketing Research Important?

Any company that wants to succeed in today’s competitive business environment must invest in marketing research. It entails compiling and evaluating data on customers, rivals, and the market at large. 

This information is utilized to create efficient marketing plans, enhance goods and services, and make wise business decisions.

1. Better Business-Client Understanding  

The ability to better understand clients is one of the main benefits of marketing research for firms. Businesses can discover patterns and trends that might guide their marketing strategy by gathering data on customer behavior, preferences, and attitudes. 

For instance, if a company discovers that a substantial portion of its clients favors eco-friendly items, it may utilize this knowledge to create and promote goods that satisfy this need.

2. It Helps in Staying Competitive

By monitoring the tactics and products of rival companies, marketing research also helps organizations stay competitive. Businesses can find ways to set themselves apart and obtain a competitive edge by examining the strengths and shortcomings of their rivals.

3. It Helps in Identifying Potential Risks

Additionally, marketing research can assist companies in identifying and reducing potential risks. Businesses may foresee prospective market shifts and modify their plans appropriately by gathering data on market trends and customer behavior. 

This can help them avoid expensive errors and adjust rapidly to evolving situations.

In conclusion, research is important in many facets of life, whether for personal or professional reasons. It is impossible to neglect the importance of research since it gives us the knowledge and information we need to solve issues, innovate, and make wise decisions. 

By strengthening our research abilities, we can efficiently acquire and analyze data, maintain organization, and utilize priceless resources like libraries and specialists. 

Moreover, research is useful in marketing because it helps companies understand their customers, assess the success of their marketing campaigns, and spot possible dangers. Research is an effective instrument that we may use to further our objectives and improve the world.

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What is Scientific Research and How Can it be Done?

Scientific researches are studies that should be systematically planned before performing them. In this review, classification and description of scientific studies, planning stage randomisation and bias are explained.

Research conducted for the purpose of contributing towards science by the systematic collection, interpretation and evaluation of data and that, too, in a planned manner is called scientific research: a researcher is the one who conducts this research. The results obtained from a small group through scientific studies are socialised, and new information is revealed with respect to diagnosis, treatment and reliability of applications. The purpose of this review is to provide information about the definition, classification and methodology of scientific research.

Before beginning the scientific research, the researcher should determine the subject, do planning and specify the methodology. In the Declaration of Helsinki, it is stated that ‘the primary purpose of medical researches on volunteers is to understand the reasons, development and effects of diseases and develop protective, diagnostic and therapeutic interventions (method, operation and therapies). Even the best proven interventions should be evaluated continuously by investigations with regard to reliability, effectiveness, efficiency, accessibility and quality’ ( 1 ).

The questions, methods of response to questions and difficulties in scientific research may vary, but the design and structure are generally the same ( 2 ).

Classification of Scientific Research

Scientific research can be classified in several ways. Classification can be made according to the data collection techniques based on causality, relationship with time and the medium through which they are applied.

• Observational
• Experimental
• Descriptive
• Retrospective
• Prospective
• Cross-sectional
• Social descriptive research ( 3 )

Another method is to classify the research according to its descriptive or analytical features. This review is written according to this classification method.

I. Descriptive research

• Case series
• Surveillance studies

II. Analytical research

• Observational studies: cohort, case control and cross- sectional research
• Interventional research: quasi-experimental and clinical research
• Case Report: it is the most common type of descriptive study. It is the examination of a single case having a different quality in the society, e.g. conducting general anaesthesia in a pregnant patient with mucopolysaccharidosis.
• Case Series: it is the description of repetitive cases having common features. For instance; case series involving interscapular pain related to neuraxial labour analgesia. Interestingly, malignant hyperthermia cases are not accepted as case series since they are rarely seen during historical development.
• Surveillance Studies: these are the results obtained from the databases that follow and record a health problem for a certain time, e.g. the surveillance of cross-infections during anaesthesia in the intensive care unit.

Moreover, some studies may be experimental. After the researcher intervenes, the researcher waits for the result, observes and obtains data. Experimental studies are, more often, in the form of clinical trials or laboratory animal trials ( 2 ).

Analytical observational research can be classified as cohort, case-control and cross-sectional studies.

Firstly, the participants are controlled with regard to the disease under investigation. Patients are excluded from the study. Healthy participants are evaluated with regard to the exposure to the effect. Then, the group (cohort) is followed-up for a sufficient period of time with respect to the occurrence of disease, and the progress of disease is studied. The risk of the healthy participants getting sick is considered an incident. In cohort studies, the risk of disease between the groups exposed and not exposed to the effect is calculated and rated. This rate is called relative risk. Relative risk indicates the strength of exposure to the effect on the disease.

Cohort research may be observational and experimental. The follow-up of patients prospectively is called a prospective cohort study . The results are obtained after the research starts. The researcher’s following-up of cohort subjects from a certain point towards the past is called a retrospective cohort study . Prospective cohort studies are more valuable than retrospective cohort studies: this is because in the former, the researcher observes and records the data. The researcher plans the study before the research and determines what data will be used. On the other hand, in retrospective studies, the research is made on recorded data: no new data can be added.

In fact, retrospective and prospective studies are not observational. They determine the relationship between the date on which the researcher has begun the study and the disease development period. The most critical disadvantage of this type of research is that if the follow-up period is long, participants may leave the study at their own behest or due to physical conditions. Cohort studies that begin after exposure and before disease development are called ambidirectional studies . Public healthcare studies generally fall within this group, e.g. lung cancer development in smokers.

• Case-Control Studies: these studies are retrospective cohort studies. They examine the cause and effect relationship from the effect to the cause. The detection or determination of data depends on the information recorded in the past. The researcher has no control over the data ( 2 ).

Cross-sectional studies are advantageous since they can be concluded relatively quickly. It may be difficult to obtain a reliable result from such studies for rare diseases ( 2 ).

Cross-sectional studies are characterised by timing. In such studies, the exposure and result are simultaneously evaluated. While cross-sectional studies are restrictedly used in studies involving anaesthesia (since the process of exposure is limited), they can be used in studies conducted in intensive care units.

• Quasi-Experimental Research: they are conducted in cases in which a quick result is requested and the participants or research areas cannot be randomised, e.g. giving hand-wash training and comparing the frequency of nosocomial infections before and after hand wash.
• Clinical Research: they are prospective studies carried out with a control group for the purpose of comparing the effect and value of an intervention in a clinical case. Clinical study and research have the same meaning. Drugs, invasive interventions, medical devices and operations, diets, physical therapy and diagnostic tools are relevant in this context ( 6 ).

Clinical studies are conducted by a responsible researcher, generally a physician. In the research team, there may be other healthcare staff besides physicians. Clinical studies may be financed by healthcare institutes, drug companies, academic medical centres, volunteer groups, physicians, healthcare service providers and other individuals. They may be conducted in several places including hospitals, universities, physicians’ offices and community clinics based on the researcher’s requirements. The participants are made aware of the duration of the study before their inclusion. Clinical studies should include the evaluation of recommendations (drug, device and surgical) for the treatment of a disease, syndrome or a comparison of one or more applications; finding different ways for recognition of a disease or case and prevention of their recurrence ( 7 ).

Clinical Research

In this review, clinical research is explained in more detail since it is the most valuable study in scientific research.

Clinical research starts with forming a hypothesis. A hypothesis can be defined as a claim put forward about the value of a population parameter based on sampling. There are two types of hypotheses in statistics.

• H 0 hypothesis is called a control or null hypothesis. It is the hypothesis put forward in research, which implies that there is no difference between the groups under consideration. If this hypothesis is rejected at the end of the study, it indicates that a difference exists between the two treatments under consideration.
• H 1 hypothesis is called an alternative hypothesis. It is hypothesised against a null hypothesis, which implies that a difference exists between the groups under consideration. For example, consider the following hypothesis: drug A has an analgesic effect. Control or null hypothesis (H 0 ): there is no difference between drug A and placebo with regard to the analgesic effect. The alternative hypothesis (H 1 ) is applicable if a difference exists between drug A and placebo with regard to the analgesic effect.

The planning phase comes after the determination of a hypothesis. A clinical research plan is called a protocol . In a protocol, the reasons for research, number and qualities of participants, tests to be applied, study duration and what information to be gathered from the participants should be found and conformity criteria should be developed.

The selection of participant groups to be included in the study is important. Inclusion and exclusion criteria of the study for the participants should be determined. Inclusion criteria should be defined in the form of demographic characteristics (age, gender, etc.) of the participant group and the exclusion criteria as the diseases that may influence the study, age ranges, cases involving pregnancy and lactation, continuously used drugs and participants’ cooperation.

The next stage is methodology. Methodology can be grouped under subheadings, namely, the calculation of number of subjects, blinding (masking), randomisation, selection of operation to be applied, use of placebo and criteria for stopping and changing the treatment.

I. Calculation of the Number of Subjects

The entire source from which the data are obtained is called a universe or population . A small group selected from a certain universe based on certain rules and which is accepted to highly represent the universe from which it is selected is called a sample and the characteristics of the population from which the data are collected are called variables. If data is collected from the entire population, such an instance is called a parameter . Conducting a study on the sample rather than the entire population is easier and less costly. Many factors influence the determination of the sample size. Firstly, the type of variable should be determined. Variables are classified as categorical (qualitative, non-numerical) or numerical (quantitative). Individuals in categorical variables are classified according to their characteristics. Categorical variables are indicated as nominal and ordinal (ordered). In nominal variables, the application of a category depends on the researcher’s preference. For instance, a female participant can be considered first and then the male participant, or vice versa. An ordinal (ordered) variable is ordered from small to large or vice versa (e.g. ordering obese patients based on their weights-from the lightest to the heaviest or vice versa). A categorical variable may have more than one characteristic: such variables are called binary or dichotomous (e.g. a participant may be both female and obese).

If the variable has numerical (quantitative) characteristics and these characteristics cannot be categorised, then it is called a numerical variable. Numerical variables are either discrete or continuous. For example, the number of operations with spinal anaesthesia represents a discrete variable. The haemoglobin value or height represents a continuous variable.

Statistical analyses that need to be employed depend on the type of variable. The determination of variables is necessary for selecting the statistical method as well as software in SPSS. While categorical variables are presented as numbers and percentages, numerical variables are represented using measures such as mean and standard deviation. It may be necessary to use mean in categorising some cases such as the following: even though the variable is categorical (qualitative, non-numerical) when Visual Analogue Scale (VAS) is used (since a numerical value is obtained), it is classified as a numerical variable: such variables are averaged.

Clinical research is carried out on the sample and generalised to the population. Accordingly, the number of samples should be correctly determined. Different sample size formulas are used on the basis of the statistical method to be used. When the sample size increases, error probability decreases. The sample size is calculated based on the primary hypothesis. The determination of a sample size before beginning the research specifies the power of the study. Power analysis enables the acquisition of realistic results in the research, and it is used for comparing two or more clinical research methods.

Because of the difference in the formulas used in calculating power analysis and number of samples for clinical research, it facilitates the use of computer programs for making calculations.

It is necessary to know certain parameters in order to calculate the number of samples by power analysis.

• Type-I (α) and type-II (β) error levels
• Difference between groups (d-difference) and effect size (ES)
• Distribution ratio of groups
• Direction of research hypothesis (H1)

a. Type-I (α) and Type-II (β) Error (β) Levels

Two types of errors can be made while accepting or rejecting H 0 hypothesis in a hypothesis test. Type-I error (α) level is the probability of finding a difference at the end of the research when there is no difference between the two applications. In other words, it is the rejection of the hypothesis when H 0 is actually correct and it is known as α error or p value. For instance, when the size is determined, type-I error level is accepted as 0.05 or 0.01.

Another error that can be made during a hypothesis test is a type-II error. It is the acceptance of a wrongly hypothesised H 0 hypothesis. In fact, it is the probability of failing to find a difference when there is a difference between the two applications. The power of a test is the ability of that test to find a difference that actually exists. Therefore, it is related to the type-II error level.

Since the type-II error risk is expressed as β, the power of the test is defined as 1–β. When a type-II error is 0.20, the power of the test is 0.80. Type-I (α) and type-II (β) errors can be intentional. The reason to intentionally make such an error is the necessity to look at the events from the opposite perspective.

b. Difference between Groups and ES

ES is defined as the state in which statistical difference also has clinically significance: ES≥0.5 is desirable. The difference between groups is the absolute difference between the groups compared in clinical research.

c. Allocation Ratio of Groups

The allocation ratio of groups is effective in determining the number of samples. If the number of samples is desired to be determined at the lowest level, the rate should be kept as 1/1.

d. Direction of Hypothesis (H1)

The direction of hypothesis in clinical research may be one-sided or two-sided. While one-sided hypotheses hypothesis test differences in the direction of size, two-sided hypotheses hypothesis test differences without direction. The power of the test in two-sided hypotheses is lower than one-sided hypotheses.

After these four variables are determined, they are entered in the appropriate computer program and the number of samples is calculated. Statistical packaged software programs such as Statistica, NCSS and G-Power may be used for power analysis and calculating the number of samples. When the samples size is calculated, if there is a decrease in α, difference between groups, ES and number of samples, then the standard deviation increases and power decreases. The power in two-sided hypothesis is lower. It is ethically appropriate to consider the determination of sample size, particularly in animal experiments, at the beginning of the study. The phase of the study is also important in the determination of number of subjects to be included in drug studies. Usually, phase-I studies are used to determine the safety profile of a drug or product, and they are generally conducted on a few healthy volunteers. If no unacceptable toxicity is detected during phase-I studies, phase-II studies may be carried out. Phase-II studies are proof-of-concept studies conducted on a larger number (100–500) of volunteer patients. When the effectiveness of the drug or product is evident in phase-II studies, phase-III studies can be initiated. These are randomised, double-blinded, placebo or standard treatment-controlled studies. Volunteer patients are periodically followed-up with respect to the effectiveness and side effects of the drug. It can generally last 1–4 years and is valuable during licensing and releasing the drug to the general market. Then, phase-IV studies begin in which long-term safety is investigated (indication, dose, mode of application, safety, effectiveness, etc.) on thousands of volunteer patients.

II. Blinding (Masking) and Randomisation Methods

When the methodology of clinical research is prepared, precautions should be taken to prevent taking sides. For this reason, techniques such as randomisation and blinding (masking) are used. Comparative studies are the most ideal ones in clinical research.

Blinding Method

A case in which the treatments applied to participants of clinical research should be kept unknown is called the blinding method . If the participant does not know what it receives, it is called a single-blind study; if even the researcher does not know, it is called a double-blind study. When there is a probability of knowing which drug is given in the order of application, when uninformed staff administers the drug, it is called in-house blinding. In case the study drug is known in its pharmaceutical form, a double-dummy blinding test is conducted. Intravenous drug is given to one group and a placebo tablet is given to the comparison group; then, the placebo tablet is given to the group that received the intravenous drug and intravenous drug in addition to placebo tablet is given to the comparison group. In this manner, each group receives both the intravenous and tablet forms of the drug. In case a third party interested in the study is involved and it also does not know about the drug (along with the statistician), it is called third-party blinding.

Randomisation Method

The selection of patients for the study groups should be random. Randomisation methods are used for such selection, which prevent conscious or unconscious manipulations in the selection of patients ( 8 ).

No factor pertaining to the patient should provide preference of one treatment to the other during randomisation. This characteristic is the most important difference separating randomised clinical studies from prospective and synchronous studies with experimental groups. Randomisation strengthens the study design and enables the determination of reliable scientific knowledge ( 2 ).

The easiest method is simple randomisation, e.g. determination of the type of anaesthesia to be administered to a patient by tossing a coin. In this method, when the number of samples is kept high, a balanced distribution is created. When the number of samples is low, there will be an imbalance between the groups. In this case, stratification and blocking have to be added to randomisation. Stratification is the classification of patients one or more times according to prognostic features determined by the researcher and blocking is the selection of a certain number of patients for each stratification process. The number of stratification processes should be determined at the beginning of the study.

As the number of stratification processes increases, performing the study and balancing the groups become difficult. For this reason, stratification characteristics and limitations should be effectively determined at the beginning of the study. It is not mandatory for the stratifications to have equal intervals. Despite all the precautions, an imbalance might occur between the groups before beginning the research. In such circumstances, post-stratification or restandardisation may be conducted according to the prognostic factors.

The main characteristic of applying blinding (masking) and randomisation is the prevention of bias. Therefore, it is worthwhile to comprehensively examine bias at this stage.

Bias and Chicanery

While conducting clinical research, errors can be introduced voluntarily or involuntarily at a number of stages, such as design, population selection, calculating the number of samples, non-compliance with study protocol, data entry and selection of statistical method. Bias is taking sides of individuals in line with their own decisions, views and ideological preferences ( 9 ). In order for an error to lead to bias, it has to be a systematic error. Systematic errors in controlled studies generally cause the results of one group to move in a different direction as compared to the other. It has to be understood that scientific research is generally prone to errors. However, random errors (or, in other words, ‘the luck factor’-in which bias is unintended-do not lead to bias ( 10 ).

Another issue, which is different from bias, is chicanery. It is defined as voluntarily changing the interventions, results and data of patients in an unethical manner or copying data from other studies. Comparatively, bias may not be done consciously.

In case unexpected results or outliers are found while the study is analysed, if possible, such data should be re-included into the study since the complete exclusion of data from a study endangers its reliability. In such a case, evaluation needs to be made with and without outliers. It is insignificant if no difference is found. However, if there is a difference, the results with outliers are re-evaluated. If there is no error, then the outlier is included in the study (as the outlier may be a result). It should be noted that re-evaluation of data in anaesthesiology is not possible.

Statistical evaluation methods should be determined at the design stage so as not to encounter unexpected results in clinical research. The data should be evaluated before the end of the study and without entering into details in research that are time-consuming and involve several samples. This is called an interim analysis . The date of interim analysis should be determined at the beginning of the study. The purpose of making interim analysis is to prevent unnecessary cost and effort since it may be necessary to conclude the research after the interim analysis, e.g. studies in which there is no possibility to validate the hypothesis at the end or the occurrence of different side effects of the drug to be used. The accuracy of the hypothesis and number of samples are compared. Statistical significance levels in interim analysis are very important. If the data level is significant, the hypothesis is validated even if the result turns out to be insignificant after the date of the analysis.

Another important point to be considered is the necessity to conclude the participants’ treatment within the period specified in the study protocol. When the result of the study is achieved earlier and unexpected situations develop, the treatment is concluded earlier. Moreover, the participant may quit the study at its own behest, may die or unpredictable situations (e.g. pregnancy) may develop. The participant can also quit the study whenever it wants, even if the study has not ended ( 7 ).

In case the results of a study are contrary to already known or expected results, the expected quality level of the study suggesting the contradiction may be higher than the studies supporting what is known in that subject. This type of bias is called confirmation bias. The presence of well-known mechanisms and logical inference from them may create problems in the evaluation of data. This is called plausibility bias.

Another type of bias is expectation bias. If a result different from the known results has been achieved and it is against the editor’s will, it can be challenged. Bias may be introduced during the publication of studies, such as publishing only positive results, selection of study results in a way to support a view or prevention of their publication. Some editors may only publish research that extols only the positive results or results that they desire.

Bias may be introduced for advertisement or economic reasons. Economic pressure may be applied on the editor, particularly in the cases of studies involving drugs and new medical devices. This is called commercial bias.

In recent years, before beginning a study, it has been recommended to record it on the Web site www.clinicaltrials.gov for the purpose of facilitating systematic interpretation and analysis in scientific research, informing other researchers, preventing bias, provision of writing in a standard format, enhancing contribution of research results to the general literature and enabling early intervention of an institution for support. This Web site is a service of the US National Institutes of Health.

The last stage in the methodology of clinical studies is the selection of intervention to be conducted. Placebo use assumes an important place in interventions. In Latin, placebo means ‘I will be fine’. In medical literature, it refers to substances that are not curative, do not have active ingredients and have various pharmaceutical forms. Although placebos do not have active drug characteristic, they have shown effective analgesic characteristics, particularly in algology applications; further, its use prevents bias in comparative studies. If a placebo has a positive impact on a participant, it is called the placebo effect ; on the contrary, if it has a negative impact, it is called the nocebo effect . Another type of therapy that can be used in clinical research is sham application. Although a researcher does not cure the patient, the researcher may compare those who receive therapy and undergo sham. It has been seen that sham therapies also exhibit a placebo effect. In particular, sham therapies are used in acupuncture applications ( 11 ). While placebo is a substance, sham is a type of clinical application.

Ethically, the patient has to receive appropriate therapy. For this reason, if its use prevents effective treatment, it causes great problem with regard to patient health and legalities.

Before medical research is conducted with human subjects, predictable risks, drawbacks and benefits must be evaluated for individuals or groups participating in the study. Precautions must be taken for reducing the risk to a minimum level. The risks during the study should be followed, evaluated and recorded by the researcher ( 1 ).

After the methodology for a clinical study is determined, dealing with the ‘Ethics Committee’ forms the next stage. The purpose of the ethics committee is to protect the rights, safety and well-being of volunteers taking part in the clinical research, considering the scientific method and concerns of society. The ethics committee examines the studies presented in time, comprehensively and independently, with regard to ethics and science; in line with the Declaration of Helsinki and following national and international standards concerning ‘Good Clinical Practice’. The method to be followed in the formation of the ethics committee should be developed without any kind of prejudice and to examine the applications with regard to ethics and science within the framework of the ethics committee, Regulation on Clinical Trials and Good Clinical Practice ( www.iku.com ). The necessary documents to be presented to the ethics committee are research protocol, volunteer consent form, budget contract, Declaration of Helsinki, curriculum vitae of researchers, similar or explanatory literature samples, supporting institution approval certificate and patient follow-up form.

Only one sister/brother, mother, father, son/daughter and wife/husband can take charge in the same ethics committee. A rector, vice rector, dean, deputy dean, provincial healthcare director and chief physician cannot be members of the ethics committee.

Members of the ethics committee can work as researchers or coordinators in clinical research. However, during research meetings in which members of the ethics committee are researchers or coordinators, they must leave the session and they cannot sign-off on decisions. If the number of members in the ethics committee for a particular research is so high that it is impossible to take a decision, the clinical research is presented to another ethics committee in the same province. If there is no ethics committee in the same province, an ethics committee in the closest settlement is found.

Thereafter, researchers need to inform the participants using an informed consent form. This form should explain the content of clinical study, potential benefits of the study, alternatives and risks (if any). It should be easy, comprehensible, conforming to spelling rules and written in plain language understandable by the participant.

This form assists the participants in taking a decision regarding participation in the study. It should aim to protect the participants. The participant should be included in the study only after it signs the informed consent form; the participant can quit the study whenever required, even when the study has not ended ( 7 ).

Peer-review: Externally peer-reviewed.

Author Contributions: Concept - C.Ö.Ç., A.D.; Design - C.Ö.Ç.; Supervision - A.D.; Resource - C.Ö.Ç., A.D.; Materials - C.Ö.Ç., A.D.; Analysis and/or Interpretation - C.Ö.Ç., A.D.; Literature Search - C.Ö.Ç.; Writing Manuscript - C.Ö.Ç.; Critical Review - A.D.; Other - C.Ö.Ç., A.D.

Conflict of Interest: No conflict of interest was declared by the authors.

Financial Disclosure: The authors declared that this study has received no financial support.

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Methodology

• What Is a Research Design | Types, Guide & Examples

What Is a Research Design | Types, Guide & Examples

Published on June 7, 2021 by Shona McCombes . Revised on November 20, 2023 by Pritha Bhandari.

A research design is a strategy for answering your   research question  using empirical data. Creating a research design means making decisions about:

• Your overall research objectives and approach
• Whether you’ll rely on primary research or secondary research
• Your sampling methods or criteria for selecting subjects
• Your data collection methods
• The procedures you’ll follow to collect data
• Your data analysis methods

A well-planned research design helps ensure that your methods match your research objectives and that you use the right kind of analysis for your data.

Table of contents

Step 1: consider your aims and approach, step 2: choose a type of research design, step 3: identify your population and sampling method, step 4: choose your data collection methods, step 5: plan your data collection procedures, step 6: decide on your data analysis strategies, other interesting articles, frequently asked questions about research design.

• Introduction

Before you can start designing your research, you should already have a clear idea of the research question you want to investigate.

There are many different ways you could go about answering this question. Your research design choices should be driven by your aims and priorities—start by thinking carefully about what you want to achieve.

The first choice you need to make is whether you’ll take a qualitative or quantitative approach.

Qualitative research designs tend to be more flexible and inductive , allowing you to adjust your approach based on what you find throughout the research process.

Quantitative research designs tend to be more fixed and deductive , with variables and hypotheses clearly defined in advance of data collection.

It’s also possible to use a mixed-methods design that integrates aspects of both approaches. By combining qualitative and quantitative insights, you can gain a more complete picture of the problem you’re studying and strengthen the credibility of your conclusions.

Practical and ethical considerations when designing research

As well as scientific considerations, you need to think practically when designing your research. If your research involves people or animals, you also need to consider research ethics .

• How much time do you have to collect data and write up the research?
• Will you be able to gain access to the data you need (e.g., by travelling to a specific location or contacting specific people)?
• Do you have the necessary research skills (e.g., statistical analysis or interview techniques)?
• Will you need ethical approval ?

At each stage of the research design process, make sure that your choices are practically feasible.

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Within both qualitative and quantitative approaches, there are several types of research design to choose from. Each type provides a framework for the overall shape of your research.

Types of quantitative research designs

Quantitative designs can be split into four main types.

• Experimental and   quasi-experimental designs allow you to test cause-and-effect relationships
• Descriptive and correlational designs allow you to measure variables and describe relationships between them.

With descriptive and correlational designs, you can get a clear picture of characteristics, trends and relationships as they exist in the real world. However, you can’t draw conclusions about cause and effect (because correlation doesn’t imply causation ).

Experiments are the strongest way to test cause-and-effect relationships without the risk of other variables influencing the results. However, their controlled conditions may not always reflect how things work in the real world. They’re often also more difficult and expensive to implement.

Types of qualitative research designs

Qualitative designs are less strictly defined. This approach is about gaining a rich, detailed understanding of a specific context or phenomenon, and you can often be more creative and flexible in designing your research.

The table below shows some common types of qualitative design. They often have similar approaches in terms of data collection, but focus on different aspects when analyzing the data.

Your research design should clearly define who or what your research will focus on, and how you’ll go about choosing your participants or subjects.

In research, a population is the entire group that you want to draw conclusions about, while a sample is the smaller group of individuals you’ll actually collect data from.

Defining the population

A population can be made up of anything you want to study—plants, animals, organizations, texts, countries, etc. In the social sciences, it most often refers to a group of people.

For example, will you focus on people from a specific demographic, region or background? Are you interested in people with a certain job or medical condition, or users of a particular product?

The more precisely you define your population, the easier it will be to gather a representative sample.

• Sampling methods

Even with a narrowly defined population, it’s rarely possible to collect data from every individual. Instead, you’ll collect data from a sample.

To select a sample, there are two main approaches: probability sampling and non-probability sampling . The sampling method you use affects how confidently you can generalize your results to the population as a whole.

Probability sampling is the most statistically valid option, but it’s often difficult to achieve unless you’re dealing with a very small and accessible population.

For practical reasons, many studies use non-probability sampling, but it’s important to be aware of the limitations and carefully consider potential biases. You should always make an effort to gather a sample that’s as representative as possible of the population.

Case selection in qualitative research

In some types of qualitative designs, sampling may not be relevant.

For example, in an ethnography or a case study , your aim is to deeply understand a specific context, not to generalize to a population. Instead of sampling, you may simply aim to collect as much data as possible about the context you are studying.

In these types of design, you still have to carefully consider your choice of case or community. You should have a clear rationale for why this particular case is suitable for answering your research question .

For example, you might choose a case study that reveals an unusual or neglected aspect of your research problem, or you might choose several very similar or very different cases in order to compare them.

Data collection methods are ways of directly measuring variables and gathering information. They allow you to gain first-hand knowledge and original insights into your research problem.

You can choose just one data collection method, or use several methods in the same study.

Survey methods

Surveys allow you to collect data about opinions, behaviors, experiences, and characteristics by asking people directly. There are two main survey methods to choose from: questionnaires and interviews .

Observation methods

Observational studies allow you to collect data unobtrusively, observing characteristics, behaviors or social interactions without relying on self-reporting.

Observations may be conducted in real time, taking notes as you observe, or you might make audiovisual recordings for later analysis. They can be qualitative or quantitative.

Other methods of data collection

There are many other ways you might collect data depending on your field and topic.

If you’re not sure which methods will work best for your research design, try reading some papers in your field to see what kinds of data collection methods they used.

Secondary data

If you don’t have the time or resources to collect data from the population you’re interested in, you can also choose to use secondary data that other researchers already collected—for example, datasets from government surveys or previous studies on your topic.

With this raw data, you can do your own analysis to answer new research questions that weren’t addressed by the original study.

Using secondary data can expand the scope of your research, as you may be able to access much larger and more varied samples than you could collect yourself.

However, it also means you don’t have any control over which variables to measure or how to measure them, so the conclusions you can draw may be limited.

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As well as deciding on your methods, you need to plan exactly how you’ll use these methods to collect data that’s consistent, accurate, and unbiased.

Planning systematic procedures is especially important in quantitative research, where you need to precisely define your variables and ensure your measurements are high in reliability and validity.

Operationalization

Some variables, like height or age, are easily measured. But often you’ll be dealing with more abstract concepts, like satisfaction, anxiety, or competence. Operationalization means turning these fuzzy ideas into measurable indicators.

If you’re using observations , which events or actions will you count?

If you’re using surveys , which questions will you ask and what range of responses will be offered?

You may also choose to use or adapt existing materials designed to measure the concept you’re interested in—for example, questionnaires or inventories whose reliability and validity has already been established.

Reliability and validity

Reliability means your results can be consistently reproduced, while validity means that you’re actually measuring the concept you’re interested in.

For valid and reliable results, your measurement materials should be thoroughly researched and carefully designed. Plan your procedures to make sure you carry out the same steps in the same way for each participant.

If you’re developing a new questionnaire or other instrument to measure a specific concept, running a pilot study allows you to check its validity and reliability in advance.

Sampling procedures

As well as choosing an appropriate sampling method , you need a concrete plan for how you’ll actually contact and recruit your selected sample.

That means making decisions about things like:

• How many participants do you need for an adequate sample size?
• What inclusion and exclusion criteria will you use to identify eligible participants?
• How will you contact your sample—by mail, online, by phone, or in person?

If you’re using a probability sampling method , it’s important that everyone who is randomly selected actually participates in the study. How will you ensure a high response rate?

If you’re using a non-probability method , how will you avoid research bias and ensure a representative sample?

Data management

It’s also important to create a data management plan for organizing and storing your data.

Will you need to transcribe interviews or perform data entry for observations? You should anonymize and safeguard any sensitive data, and make sure it’s backed up regularly.

Keeping your data well-organized will save time when it comes to analyzing it. It can also help other researchers validate and add to your findings (high replicability ).

On its own, raw data can’t answer your research question. The last step of designing your research is planning how you’ll analyze the data.

Quantitative data analysis

In quantitative research, you’ll most likely use some form of statistical analysis . With statistics, you can summarize your sample data, make estimates, and test hypotheses.

Using descriptive statistics , you can summarize your sample data in terms of:

• The distribution of the data (e.g., the frequency of each score on a test)
• The central tendency of the data (e.g., the mean to describe the average score)
• The variability of the data (e.g., the standard deviation to describe how spread out the scores are)

The specific calculations you can do depend on the level of measurement of your variables.

Using inferential statistics , you can:

• Make estimates about the population based on your sample data.
• Test hypotheses about a relationship between variables.

Regression and correlation tests look for associations between two or more variables, while comparison tests (such as t tests and ANOVAs ) look for differences in the outcomes of different groups.

Your choice of statistical test depends on various aspects of your research design, including the types of variables you’re dealing with and the distribution of your data.

Qualitative data analysis

In qualitative research, your data will usually be very dense with information and ideas. Instead of summing it up in numbers, you’ll need to comb through the data in detail, interpret its meanings, identify patterns, and extract the parts that are most relevant to your research question.

Two of the most common approaches to doing this are thematic analysis and discourse analysis .

There are many other ways of analyzing qualitative data depending on the aims of your research. To get a sense of potential approaches, try reading some qualitative research papers in your field.

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

• Simple random sampling
• Stratified sampling
• Cluster sampling
• Likert scales
• Reproducibility

 Statistics

• Null hypothesis
• Statistical power
• Probability distribution
• Effect size
• Poisson distribution

Research bias

• Optimism bias
• Cognitive bias
• Implicit bias
• Hawthorne effect
• Anchoring bias
• Explicit bias

A research design is a strategy for answering your   research question . It defines your overall approach and determines how you will collect and analyze data.

A well-planned research design helps ensure that your methods match your research aims, that you collect high-quality data, and that you use the right kind of analysis to answer your questions, utilizing credible sources . This allows you to draw valid , trustworthy conclusions.

Quantitative research designs can be divided into two main categories:

• Correlational and descriptive designs are used to investigate characteristics, averages, trends, and associations between variables.
• Experimental and quasi-experimental designs are used to test causal relationships .

Qualitative research designs tend to be more flexible. Common types of qualitative design include case study , ethnography , and grounded theory designs.

The priorities of a research design can vary depending on the field, but you usually have to specify:

• Your research questions and/or hypotheses
• Your overall approach (e.g., qualitative or quantitative )
• The type of design you’re using (e.g., a survey , experiment , or case study )
• Your data collection methods (e.g., questionnaires , observations)
• Your data collection procedures (e.g., operationalization , timing and data management)
• Your data analysis methods (e.g., statistical tests  or thematic analysis )

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

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

Operationalization means turning abstract conceptual ideas into measurable observations.

For example, the concept of social anxiety isn’t directly observable, but it can be operationally defined in terms of self-rating scores, behavioral avoidance of crowded places, or physical anxiety symptoms in social situations.

Before collecting data , it’s important to consider how you will operationalize the variables that you want to measure.

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.

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The Purpose of Research and Its Characteristics (3-5 min read)

by ForeignAdmits

Updated on March 31, 2023

The purpose of research is to enhance society by advancing knowledge through scientific theories, concepts and ideas. A research purpose is met through forming hypotheses, collecting data, analysing, etc.  It summarizes the research study’s specific topic and goals, providing readers with an accurate, concrete understanding of the findings, the purpose of research and its characteristics. The basic properties of the research purpose are given below:

• The research purpose should be Specific and precise – not general, broad or obscure.
• It should be defined concisely (within one or two sentences)
• The research goal should be apparent. It should not be vague, ambiguous or confusing to the readers.
• All the statements should be Goal-oriented and also stated in terms of desired outcomes.

Example: Research on the effect of learning an additional language on children

United College of Engineering and Research [2021 Update]

Here are some key points to remember for the purpose of research and its characteristics.

1. State the general purpose of the Study:

The study’s overall purpose is to examine the effect of learning a foreign language early and how it will affect them.

2. Identify the specific purpose of every key variable:

How they grasp, reading fluency, reading comprehension, vocabulary, and interest in the language are the particular variables.

3. State the specific purposes for the research study:

• Identify how often parents enrol their children in learning a foreign language or how often does school teaches.
• Determine the effect of learning a foreign language on the children’s reading fluency of their mother language.
• Ascertain the effect of learning a foreign language on the children’s reading comprehension of their mother language.
• Determine the effect of learning a foreign language on children’s vocabulary of their mother language.

Characteristics of Research

The investigation of the research topic can be classified into eight types:

1. Empirical Research

Research proves scientific methods derived from real-life observations. It is also a way of gaining knowledge using direct and indirect observation or experience. There are two ways to examine Empirical Evidence – quantitative and qualitative. Many researchers can easily quantify the given evidence or challenge the evidence and make sense of it in its qualitative form.

2. Logical Research

This research methodology follows sequential procedures based on valid principles. Analytical research implies that the study goes by logical reasoning rules and the logical process of induction and deduction. Induction is the reasoning process from a part to the whole, whereas deduction is reasoning from the premise.

3. Cyclic Research

As the name suggests, the cyclic research starts and ends with a question.  It is a cyclical process of steps that typically begins with identifying a research problem or study issue. It then involves reviewing the literature, specifying a purpose for the study, collecting and analysing data, and forming an interpretation of information.

4. Analytical Research

In this type of research, data is generated, recorded and analysed using proven techniques to ensure high accuracy and repeatability while minimizing potential errors. A variety of people, including students, doctors and psychologists, use analytical research during studies to find the most relevant information. A person finds out necessary details from analytical research to add new ideas to the material being produced.

Is a career in analytics and research good for you?

5. Controlled Research

Controlled research investigates with vigorous measures by keeping all research variables constant, excluding the variables under investigation. IN simpler words, it compares results from a treated group and a control group. The control group may receive no treatment, a placebo, or a different treatment.

6. Research-based on Objective

The researcher uses sound judgment to ensure that the research findings are valid. Objective-based types of Research can be classified as descriptive, co-relational, explanatory and exploratory.

7. Research-based on statistical treatment

Researchers apply statistical methods to a data set to transform it from a group of meaningless numbers into meaningful output. The mathematical treatment is involved in turning the available data into something more meaningful from which information can be derived.

8. Hypothesis-based Research

This research is a statement about a scientific study’s expected outcome (a dissertation or thesis). This statement needs to have three attributes – specificity, testability, and falsifiability for a genuine research hypothesis. The hypothesis-based research design produces evidence that satisfies the research objectives and can prove or refute the hypothesis.

This is all about the purpose of research and its characteristics.

Board of Governors Graduate Students Research Scholarship in the University of Lethbridge, Canada

Important FAQs

Q1. What are the characteristics of research methodology?

Try to usually collect data at sight, where the participants are experiencing issues or problems. These are real-time data and rarely bring the participants out of the geographic locations to collect information.

Q 2. What is the primary purpose or goal of research?

The ultimate goal of research within any scientific area is to understand how things work. The results of a study can then be put to use to create advanced possibilities for further research.

At ForeignAdmits, we understand how important this decision is. We are here to help you every step of the way, from finding the right school to getting admitted and securing scholarships.

We have a team of experienced counselors who can provide you with customized guidance based on your individual needscontact us today to get started. We look forward to helping you achieve your educational and career goals!

Q3. What is the nature of research?

Establishing hypotheses, gathering data, evaluating, and so on all contribute to achieving a research purpose. It explains the particular topic and aims of the research study, giving readers with a precise, clear grasp of the outcomes.

Q4. What are the three primary goals of research? Exploration, explanation and description are three most significant and prevalent study goals.

Writing the Literature Review

Barry Mauer and John Venecek

• The Literature Review

What is the Purpose of the Review?

What is the scope of the review, strategies for getting started, types of literature reviews, composition guidelines, how to locate reviews by discipline, key takeaways.

We also provide the following activities:

Types of Literature Reviews [Refresher]

Writing the literature review [refresher], the literature review [1].

Conducting a literary studies research project involves time and effort, with much of it going towards the development of a literature review . A literature review might fill several pages of your research paper and usually appears soon after an introduction but before you present your detailed argument. A literature review provides your audience with an overview of the available research about your area(s) of study, including the literary work, your theory, and methodology. The literature review demonstrates how these scholarly discussions have changed over time, and it allows you to position your research in relation to research that has come before yours. Your aim is to present the discussion up to this point. Depending on the nature of the assignment, you may also include your critical commentary on prior research, noting among this material the weaker and stronger arguments, breakthroughs and dead ends, blind spots and opportunities, the invention of key terms and methods, mistakes as well as misreadings, and so on.

Once you have gathered the research materials you need for your literature review, you have another task: conducting an analysis on the research to see where your original contribution fits into the scholarly conversation. As the saying goes, “we are standing on the shoulders of giants.” Your job is to show a portrait of these giants to your audience, and to show how your work relates to the portrait. On many scholarly topics, literature reviews already exist. You may refer to such existing reviews within your own, indicating any materials might have been overlooked, new developments that have arisen since the publication of the existing literature review, and new perspectives or insights you have about the materials.

Some beginning researchers try to tear down the work of other researchers in an effort to make their own work look good by comparison. It rarely works. First, it tends to make your audience skeptical of your claims. Second, it ignores the fact that even the mistakes, blind spots, and failures of other researchers contribute something to our knowledge. Albert Einstein didn’t disrespect Sir Isaac Newton by saying Newton’s theory of space was wrong and terrible and that Einstein’s own theory was great by comparison. He built upon Newton’s work, showing how it could be improved. If, however, a researcher willfully set out to deceive or distort or to tear down the work of other scholars without good reason, then their work does not deserve such deference.

Most literature reviews appear after the introduction. It presents your reader with relevant information about the scholarly discussion up to now. Later in your paper, you discuss your contribution. Before you begin work on your literature review, let’s discuss what we mean by “literature”; understand the purpose and scope of the review; establish criteria for selecting, organizing, and interpreting your findings; and discuss how to connect your findings to your research question.

Many students seek to “find sources that agree with my claim or idea.” That approach is too narrow, in our view. If we use such an approach, we may get the following results:

• Because we can find sources that agree with almost any claim, readers will wonder whether your claims are weak and the sources are cherry picked.
• While literary scholars sometimes cite authorities to support their claims, they don’t rely only on authority. They respect authority, but not too much. Your own claims need to rely more on evidence (from the literary text, historical and biographical information), and your critical and creative reasoning skills.
• Scholarship is a conversation; thus, the goal is less about finding agreement and more about joining the conversation with the aim of making a valuable contribution to the discussion.

The literature review provides your reader with an overview of the existing research about your topic or problem. It provides the context necessary for your reader to catch up with the scholarly conversation and then to appreciate the value of your contribution to it. The literature review sharpens the focus of your research and demonstrates your knowledge and understanding of the scholarly conversation around your topic, which, in turn, helps establish your credibility as a researcher.

Creating the literature review involves more than gathering citations. It is a qualitative process through which you will discover what is already known about your topic, and identify the key authorities, methods, and theoretical foundations, so you can begin to position your contributions within the scholarly conversation.

Defining the scope of your review will also help you establish criteria to determine the relevance of the sources you are finding. At this stage, you are not reading in-depth; instead, you are skimming through what has already been published and identifying the major concepts, theories, methodologies, and methods present within these published works. You should also be identifying connections, tensions, and contradictions within the already published works of your topic or problem. This involves building on the knowledge of others and understanding what methods, measures, and models we have inherited from previous researchers in our field.

Literature Reviews: Common Errors Made When Conducting a Literature Review [12 min 22 sec]

Video provided courtesy of the Center for Quality Research (CQR)

A literature review helps your reader understand the relationship of your research project to the work of other scholars. It covers the existing knowledge about a problem, and allows you to show the relevance/significance of your contribution to the discussion. Your reader may or may not have read scholarly literature about the theories, methodologies, and literary works you are discussing. But they want to know that you have read it and have thought about it. Your literature review provides not only a summary of the existing scholarship for readers; it also offers your perspective on it.

Begin your work on the literature review by synthesizing the various sources in your annotated bibliography .

For advice on Synthesizing Sources, consider the following from The Purdue Online Writing Lab: [2]

Note that  synthesizing is not the same as summarizing .

• A summary restates the information in one or more sources without providing new insight or reaching new conclusions.
• A synthesis draws on multiple sources to reach a broader conclusion.
• Don’t force a relationship between sources if there isn’t one. Not all of your sources have to complement one another.
• Do your best to highlight the relationships between sources in very clear ways.
• Don’t ignore any outliers in your research. It’s important to take note of every perspective (even those that disagree with your broader conclusions).

Not all humanities research projects contain literature reviews, but many do. Keep in mind that the type of literature review you choose (see list below) pertains to the secondary research – other scholarly sources – and not to the primary literary work. For instance, a literature review about Kate Chopin’s writing will be your thoughts about the scholarship on Chopin and not about Chopin’s text itself. You are summarizing what you see in the scholarly literature about Chopin’s writing. The literature review puts you in the position of authority not just on Chopin’s writing but on the scholarship about her writing. You are seeking to understand what scholars have said about her work. Scholars might belong to different schools of thought (psychoanalytic, feminist, Marxist, etc.). They might make different arguments about Chopin. They might use different methodological approaches. 

If your research involves two or more theories, such as psychology and genre studies, you may need to create multiple literature reviews, one for each theory or methodology. If the theories overlap with each other significantly (i.e., Marxism and Cultural Studies), you may combine them. Your literature review need not include everything about the subject area – you would need to write a book to cover a single theory – but only those concepts and methods that are most relevant to your research problem.

Factors to Consider When Developing Your Literature Review

• Determine the Scope : How broad or narrow should your literature review be? You may want to focus on recent scholarship only, or on a particular school of thought in the literature. Your scope is determined by your purpose; what is it you aim to achieve with your research?
• Establish Criteria : We discussed the importance of defining the purpose and scope of your review on the previous page, but it’s worth reviewing here as well. This step will help you establish important criteria and focus your searching. For example, how many sources will you need? What types of sources (primary, secondary, statistics, media)? Is currency important? Do you know who the prominent authors or theorists are in your subject area? Take some time to map out these or other important factors before you begin searching journals and databases.
• Consider Your Audience : Unlike a work cited page or an annotated bibliography, both of which are lists of sources, a literature review is essayistic and can be considered a precursor to your final paper. Therefore, it should be written in your own voice, and it should be geared toward a specific audience. Considering audience during this early stage will help focus your final paper as well.
• Find Models : We’ll discuss the different types of literature reviews and how to locate examples in the section below. However, even if you’re undecided about what type of review will work best for you, you may want to review some example literature reviews to get a sense of what they look like before you begin your own.

One piece of advice before starting: look for existing literature reviews on your area of scholarship. You can build on the work that other scholars have put into reviewing the scholarly literature. There’s no need to completely “reinvent the wheel” if some of the work is already done.

Scholars sometimes publish “stand-alone” literature reviews that are not part of a larger work; such literature reviews are valuable contributions to the field, as they summarize the state of knowledge for other scholars.

Maria J. Grant and Andrew Booth’s “A Typology of Reviews” identifies 14 distinct types of literature reviews. Further, the UCLA library created a chart to complement the article and for easy comparison of those 14 types of reviews. This section provides a brief summary of the most common literature reviews. For a more complete analysis, please see the full article and the chart .

To choose the most appropriate structure, put yourself in your reader’s shoes and think through their need for information. The literature review is about providing context for your contribution. How much context do people need? Keep it to the minimum necessary; compressing a lot of information into a small amount of text is a must.

These structures are not meant to be straightjackets but tools to help you organize your research. If you find that the tool is working, then keep using it. If not, switch tools or modify the one you are using. Keep in mind that the types of literature reviews are just different ways of organizing information. So, you can discuss literary trends without organizing your review of secondary literature by trend; your discussion can be organized by theory or theme, for examples. In our literature reviews, we are not recounting other scholars’ arguments at length but merely providing key concepts so we can summarize the discussion so far and position our own claims. You don’t have to adhere strictly to one structure or another. They are just organizing tools that help you manage your material (and help your reader make sense of it).

Types of Reviews

• Traditional or narrative reviews : This approach will generate a comprehensive, critical analysis of the published research on your topic. However, rather than merely compiling as many sources as possible, use this approach to establish a theoretical framework for your paper, establish trends, and identify gaps in the research. This process should bring your research question into clearer focus and help define a thesis that you will argue for in your paper. This is perhaps the most common and general type of literature review. The examples listed below are all designed to serve a more specific purpose.
• Argumentative : The purpose of an argumentative literature review is to select sources for the purpose of supporting or refuting a specific claim. While this type of review can help the author make a strong case for or against an issue, they can also be prone to claims of bias. Later in this textbook, we will read about the distinction between warranted and unwarranted bias . One is ok and the other is not.
• Chronological : A chronological review is used when the author wants to demonstrate the progression of how a theory, methodology, or issue has progressed over time. This method is most effective when there is a clear chronological path to the research about a specific historical event or trend as opposed to a more recursive theoretical concept.
• By trend : This is similar to the chronological approach except it focuses on clearly-defined trends rather than date ranges. This would be most appropriate if you want to illustrate changing perspectives or attitudes about a given issue when specific date ranges are less important than the ebb and flow of the trend.
• Thematic : In this type of literature review, the author will select specific themes that he or she feels are important to understanding a larger topic or concept. Then, the author will organize the sources around those themes, which are often based on relevance or importance. The value of this method is that the process of organizing the review by theme is similar to constructing an argument. This can help the author see how resources connect to each other and determine how as well as why specific sources support their thesis.
• Theoretical : The goal of this type of review is to examine how theory has shaped the research on a given topic. It establishes existing theoretical models, their connections, and how extensively they have been developed in the published research. For example, Jada applied critical race theory to her analysis of Sonny’s Blues , but she might also consider conducting a more comprehensive review of other theoretical frameworks such as feminism, Marxism, or postmodernism. Doing so could provide insight into alternate readings, and help her identify theoretical gaps such as unexplored or under-developed approaches to Baldwin’s work.
• Methodological : The approach focuses on the various methodologies used by researchers in a specific area rather than an analysis of their findings. In this case, you would create a framework of approaches to data collection related to your topic or research question. This is perhaps more common in education or the social and hard sciences where published research often includes a methods section, but it is sometimes appropriate for the digital humanities as well.
• Scoping : The aim of a scoping review is to provide a comprehensive overview or map of the published research or evidence related to a research question. This might be considered a prelude to a systematic review that would take the scoping review one step further toward answering a clearly defined research question. See below for more details.
• Systematic : The systematic review is most appropriate when you have a clearly-defined research question and have established criteria for the types of sources you need. In this way, the systematic review is less exploratory than other types of reviews. Rather, it is comprehensive, strategic, and focused on answering a specific research question. For this reason, the systematic review is more common in the health and social sciences, where comprehensiveness is more important. Literature reviews in the Humanities are not usually exhaustive but tend to show only the most representative or salient developments in the scholarship.
• Meta-analysis : Does your research deal with statistics or large amounts of data? If so, then a meta-analysis might be best for you rather than providing a critical review, the meta-analysis will summarize and synthesize the results of numerous studies that involve statistics or data to provide a more comprehensive picture than would be possible from just one study.

An argumentative literature review presents and takes sides in scholarly arguments about the literary work. It makes arguments about other scholars’ work. It does not necessarily involve a claim that the literary work is itself making an argument. Likewise, a chronological literature review presents the scholarly literature in chronological order.

You don’t need to keep strictly to one type. Scholars often combine features from various types of literature reviews. A sample review that combines the follow types –

• Argumentative
• Theoretical
• Methodological

– is the excellent work of Eiranen, Reetta, Mari Hatavara, Ville Kivimäki, Maria Mäkelä & Raisa Maria Toivo (2022) “ Narrative and Experience: Interdisciplinary Methodologies between History and Narratology , ” Scandinavian Journal of History , 47:1, 1-15

When writing your literature review, please follow these pointers:

• Conduct systematic searches
• Use Evidence
• Be Selective
• Use Quotes Sparingly
• Summarize & Synthesize
• Use Caution when Paraphrasing
• Use Your Own Voice

Advice from James Mason University’s “Literature Reviews: An Overview”

A note on synthesizing : Don’t make the common mistake of summarizing individual studies or articles one after the other. The goal is to synthesize — that is, to make observations about groups of studies. Synthesis often uses language like this:

• Much of the literature on [topic x ] focuses on [major themes].
• In recent years, researchers have begun investigating [facets a , b , and c ] of [topic x ].
• The studies in this review of [topic x ] confirm / suggest / call into question / support [idea / practice / finding / method / theory / guideline y ].
• In the reviewed studies [variable x ] was generally associated with higher / lower rates of [outcome y ].
• A limitation of some / most / all of these studies is [ y ].

Please see this sample annotated literature review  from James Mason University.

Structure of a literature review [2]

• Problematization: The 2 to 3 pages of problematization are a distinct, iterative, step. It may take doing such a statement a few times before moving forward to writing the actual paper.
• Search: Write down your keyword sets, your updated keyword sets, and databases. It is perfectly within a reviewer’s rights to ask for these details.
• Summary: Really getting to know major themes requires some annotation of articles. You want to identify core papers and themes and write about them. This helps you really learn the material. [ChatGPT or Wikipedia are no substitute for deep engagement with a paper.]
• Argument: Either outline or create a slide deck that help you express the arguments in your paper. Read them out loud. Have friends look at them. Present them. [Every literature review has an argument. If not, it’s a summary. A summary does not merit publication in a top outlet.]
• Unpacking: Once you’ve nailed the short pitch, unpack the full argument. [ a) Take time in each major section to map out a) the argument, b) the supporting evidence, and the takeaway. b) Take those major sections, reconcile them, make sure they don’t overlap, then move on to writing. c) Sketch out the paper’s sections, tables, figures, and appendices.]
• Writing: Writing is the easy part. You can always put words to the screen. [Revising and improving is hard. Make time to write every day. Improving requires feedback. Find a writing partner to give feedback. Create your tables and figures. Write to them. Make sure the words in the paper align to the visuals.]
• Communicate: When the paper is done, go back and create a paper presentation. [I do this for the papers that I’m most serious about. The act of storyboarding helps me sort out the small pieces of the story that don’t fit together. If I really want it to succeed, I present it. The act of presenting helps me get it right. My best papers sometimes take seven or eight presentations to get it right. Then I return to the paper and fine tune it. Only then, does it have a shot at a top outlet.]

Literature reviews can be published as part of a scholarly article, often after the introduction and sometimes with a header, but they can also be published as a standalone essay. To find examples of what reviews look like in your discipline, choose an appropriate subject database (such as MLA for literary criticism) and conduct a keyword search with the term “Literature Review” added in quotes:

Not only do these examples demonstrate how to structure different types of literature reviews, but some offer insights into trends and directions for future research. In the next section, we’ll take a closer look at some reading strategies to help guide you through this process.

Since scholars already have produced literature reviews on various scholarly conversations, you don’t always need to “reinvent the wheel” (start a literature review from nothing). You can find a published literature review and update it or amend it; scholars do that all the time. However, you must properly cite work you incorporate from others.

• What types of literature review will you be using for your paper? Why did you make this selection over others? If you haven’t made a selection yet, which types are you considering?
• What specific challenges do you face in following a literature review structure?
• If there are any elements of your assignment that need clarification, please list them.
• What was the most important lesson you learned from this page? What point was confusing or difficult to understand?
• In the “Back Matter” of this book, you will find a page titled “Rubrics.” On that page, we provide a rubric for Creating a Literature Review ↵
• Richard West, Brigham Young University, amended by Jason Thatcher, Temple University - https://www.linkedin.com/posts/jason-thatcher-0329764_academicwriting-topten2023-activity-7146507675021766656-BB0O ↵

Writing the Literature Review Copyright © 2021 by Barry Mauer and John Venecek is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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Home > ETD > Doctoral > 5831

Doctoral Dissertations and Projects

Exploring the connection between student self-efficacy and student success in a prelicensure nursing programs: a predictive correlational study.

Leanne I. Moreira , Liberty University Follow

School of Education

Doctor of Philosophy

Jeffery Savage

HESI exit exam, GSE tool, prelicensure nursing students, self-efficacy

Disciplines

Recommended citation.

Moreira, Leanne I., "Exploring the Connection Between Student Self-Efficacy and Student Success in a Prelicensure Nursing Programs: A Predictive Correlational Study" (2024). Doctoral Dissertations and Projects . 5831. https://digitalcommons.liberty.edu/doctoral/5831

The purpose of this quantitative, nonexperimental, correlational study was to determine if a passing score on the standardized Health Education Systems Incorporated (HESI) exit examination for prelicensure nursing students can be predicted from the number of working hours and self-efficacy scores for those same students. This study is important because of high attrition and low retention rates among prelicensure nursing students, preventing more nurses from providing care to society at a time when the demand for nurses is high. The study included 79 prelicensure nursing students in rural Maine and Ohio. Two measurement instruments were included in this study: the general self-efficacy tool and the HESI exit exam. To collect data, Microsoft Forms and the Evolve.Elsevier HESI exit exam technologies were utilized. A logistic regression analysis evaluated the results. The results show no statistical significance or predictive relationship between the HESI exit exam, the number of hours prelicensure nursing students work, and self-efficacy, χ2(6) = 7.952, p = .242. Even though this study’s data did not result in statistical significance or predictive correlation, there is evidence to support how assessing student success through standardized testing could result in different data results compared to previous research. Recommendations for future research include increasing the number of participants to include more diversity, conducting qualitative research to gain a deeper understanding of what other barriers prelicensure nursing students endure outside of coursework, replicating this study with other variables found from previous research, and using an alternative self-efficacy tool specifically created for nursing students.

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