methodology section

USC Libraries
Research Guides

Organizing Your Social Sciences Research Paper

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

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

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

Importance of a Good Methodology Section

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

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

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

Structure and Writing Style

I. Groups of Research Methods

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

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

II. Content

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

The remainder of your methodology section should describe the following:

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

In addition, an effectively written methodology section should:

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

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

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

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

III. Problems to Avoid

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

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

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

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

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

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

Writing Tip

Statistical Designs and Tests? Do Not Fear Them!

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

To locate data and statistics, GO HERE .

Another Writing Tip

Knowing the Relationship Between Theories and Methods

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

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

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

Yet Another Writing Tip

Methods and the Methodology

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

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

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

<< Previous: Scholarly vs. Popular Publications
Next: Qualitative Methods >>
Last Updated: Apr 11, 2024 1:27 PM
URL: https://libguides.usc.edu/writingguide

Buy Me a Coffee

Home » Dissertation Methodology – Structure, Example and Writing Guide

Dissertation Methodology – Structure, Example and Writing Guide

Table of Contents

Dissertation Methodology

In any research, the methodology chapter is one of the key components of your dissertation. It provides a detailed description of the methods you used to conduct your research and helps readers understand how you obtained your data and how you plan to analyze it. This section is crucial for replicating the study and validating its results.

Here are the basic elements that are typically included in a dissertation methodology:

Introduction : This section should explain the importance and goals of your research .
Research Design : Outline your research approach and why it’s appropriate for your study. You might be conducting an experimental research, a qualitative research, a quantitative research, or a mixed-methods research.
Data Collection : This section should detail the methods you used to collect your data. Did you use surveys, interviews, observations, etc.? Why did you choose these methods? You should also include who your participants were, how you recruited them, and any ethical considerations.
Data Analysis : Explain how you intend to analyze the data you collected. This could include statistical analysis, thematic analysis, content analysis, etc., depending on the nature of your study.
Reliability and Validity : Discuss how you’ve ensured the reliability and validity of your study. For instance, you could discuss measures taken to reduce bias, how you ensured that your measures accurately capture what they were intended to, or how you will handle any limitations in your study.
Ethical Considerations : This is where you state how you have considered ethical issues related to your research, how you have protected the participants’ rights, and how you have complied with the relevant ethical guidelines.
Limitations : Acknowledge any limitations of your methodology, including any biases and constraints that might have affected your study.
Summary : Recap the key points of your methodology chapter, highlighting the overall approach and rationalization of your research.

Types of Dissertation Methodology

The type of methodology you choose for your dissertation will depend on the nature of your research question and the field you’re working in. Here are some of the most common types of methodologies used in dissertations:

Experimental Research

This involves creating an experiment that will test your hypothesis. You’ll need to design an experiment, manipulate variables, collect data, and analyze that data to draw conclusions. This is commonly used in fields like psychology, biology, and physics.

Survey Research

This type of research involves gathering data from a large number of participants using tools like questionnaires or surveys. It can be used to collect a large amount of data and is often used in fields like sociology, marketing, and public health.

Qualitative Research

This type of research is used to explore complex phenomena that can’t be easily quantified. Methods include interviews, focus groups, and observations. This methodology is common in fields like anthropology, sociology, and education.

Quantitative Research

Quantitative research uses numerical data to answer research questions. This can include statistical, mathematical, or computational techniques. It’s common in fields like economics, psychology, and health sciences.

Case Study Research

This type of research involves in-depth investigation of a particular case, such as an individual, group, or event. This methodology is often used in psychology, social sciences, and business.

Mixed Methods Research

This combines qualitative and quantitative research methods in a single study. It’s used to answer more complex research questions and is becoming more popular in fields like social sciences, health sciences, and education.

Action Research

This type of research involves taking action and then reflecting upon the results. This cycle of action-reflection-action continues throughout the study. It’s often used in fields like education and organizational development.

Longitudinal Research

This type of research involves studying the same group of individuals over an extended period of time. This could involve surveys, observations, or experiments. It’s common in fields like psychology, sociology, and medicine.

Ethnographic Research

This type of research involves the in-depth study of people and cultures. Researchers immerse themselves in the culture they’re studying to collect data. This is often used in fields like anthropology and social sciences.

Structure of Dissertation Methodology

The structure of a dissertation methodology can vary depending on your field of study, the nature of your research, and the guidelines of your institution. However, a standard structure typically includes the following elements:

Introduction : Briefly introduce your overall approach to the research. Explain what you plan to explore and why it’s important.
Research Design/Approach : Describe your overall research design. This can be qualitative, quantitative, or mixed methods. Explain the rationale behind your chosen design and why it is suitable for your research questions or hypotheses.
Data Collection Methods : Detail the methods you used to collect your data. You should include what type of data you collected, how you collected it, and why you chose this method. If relevant, you can also include information about your sample population, such as how many people participated, how they were chosen, and any relevant demographic information.
Data Analysis Methods : Explain how you plan to analyze your collected data. This will depend on the nature of your data. For example, if you collected quantitative data, you might discuss statistical analysis techniques. If you collected qualitative data, you might discuss coding strategies, thematic analysis, or narrative analysis.
Reliability and Validity : Discuss how you’ve ensured the reliability and validity of your research. This might include steps you took to reduce bias or increase the accuracy of your measurements.
Ethical Considerations : If relevant, discuss any ethical issues associated with your research. This might include how you obtained informed consent from participants, how you ensured participants’ privacy and confidentiality, or any potential conflicts of interest.
Limitations : Acknowledge any limitations in your research methodology. This could include potential sources of bias, difficulties with data collection, or limitations in your analysis methods.
Summary/Conclusion : Briefly summarize the key points of your methodology, emphasizing how it helps answer your research questions or hypotheses.

How to Write Dissertation Methodology

Writing a dissertation methodology requires you to be clear and precise about the way you’ve carried out your research. It’s an opportunity to convince your readers of the appropriateness and reliability of your approach to your research question. Here is a basic guideline on how to write your methodology section:

1. Introduction

Start your methodology section by restating your research question(s) or objective(s). This ensures your methodology directly ties into the aim of your research.

2. Approach

Identify your overall approach: qualitative, quantitative, or mixed methods. Explain why you have chosen this approach.

Qualitative methods are typically used for exploratory research and involve collecting non-numerical data. This might involve interviews, observations, or analysis of texts.
Quantitative methods are used for research that relies on numerical data. This might involve surveys, experiments, or statistical analysis.
Mixed methods use a combination of both qualitative and quantitative research methods.

3. Research Design

Describe the overall design of your research. This could involve explaining the type of study (e.g., case study, ethnography, experimental research, etc.), how you’ve defined and measured your variables, and any control measures you’ve implemented.

4. Data Collection

Explain in detail how you collected your data.

If you’ve used qualitative methods, you might detail how you selected participants for interviews or focus groups, how you conducted observations, or how you analyzed existing texts.
If you’ve used quantitative methods, you might detail how you designed your survey or experiment, how you collected responses, and how you ensured your data is reliable and valid.

5. Data Analysis

Describe how you analyzed your data.

If you’re doing qualitative research, this might involve thematic analysis, discourse analysis, or grounded theory.
If you’re doing quantitative research, you might be conducting statistical tests, regression analysis, or factor analysis.

Discuss any ethical issues related to your research. This might involve explaining how you obtained informed consent, how you’re protecting participants’ privacy, or how you’re managing any potential harms to participants.

7. Reliability and Validity

Discuss the steps you’ve taken to ensure the reliability and validity of your data.

Reliability refers to the consistency of your measurements, and you might discuss how you’ve piloted your instruments or used standardized measures.
Validity refers to the accuracy of your measurements, and you might discuss how you’ve ensured your measures reflect the concepts they’re supposed to measure.

8. Limitations

Every study has its limitations. Discuss the potential weaknesses of your chosen methods and explain any obstacles you faced in your research.

9. Conclusion

Summarize the key points of your methodology, emphasizing how it helps to address your research question or objective.

Example of Dissertation Methodology

An Example of Dissertation Methodology is as follows:

Chapter 3: Methodology

Introduction

This chapter details the methodology adopted in this research. The study aimed to explore the relationship between stress and productivity in the workplace. A mixed-methods research design was used to collect and analyze data.

Research Design

This study adopted a mixed-methods approach, combining quantitative surveys with qualitative interviews to provide a comprehensive understanding of the research problem. The rationale for this approach is that while quantitative data can provide a broad overview of the relationships between variables, qualitative data can provide deeper insights into the nuances of these relationships.

Data Collection Methods

Quantitative Data Collection : An online self-report questionnaire was used to collect data from participants. The questionnaire consisted of two standardized scales: the Perceived Stress Scale (PSS) to measure stress levels and the Individual Work Productivity Questionnaire (IWPQ) to measure productivity. The sample consisted of 200 office workers randomly selected from various companies in the city.

Qualitative Data Collection : Semi-structured interviews were conducted with 20 participants chosen from the initial sample. The interview guide included questions about participants’ experiences with stress and how they perceived its impact on their productivity.

Data Analysis Methods

Quantitative Data Analysis : Descriptive and inferential statistics were used to analyze the survey data. Pearson’s correlation was used to examine the relationship between stress and productivity.

Qualitative Data Analysis : Interviews were transcribed and subjected to thematic analysis using NVivo software. This process allowed for identifying and analyzing patterns and themes regarding the impact of stress on productivity.

Reliability and Validity

To ensure reliability and validity, standardized measures with good psychometric properties were used. In qualitative data analysis, triangulation was employed by having two researchers independently analyze the data and then compare findings.

Ethical Considerations

All participants provided informed consent prior to their involvement in the study. They were informed about the purpose of the study, their rights as participants, and the confidentiality of their responses.

Limitations

The main limitation of this study is its reliance on self-report measures, which can be subject to biases such as social desirability bias. Moreover, the sample was drawn from a single city, which may limit the generalizability of the findings.

Where to Write Dissertation Methodology

In a dissertation or thesis, the Methodology section usually follows the Literature Review. This placement allows the Methodology to build upon the theoretical framework and existing research outlined in the Literature Review, and precedes the Results or Findings section. Here’s a basic outline of how most dissertations are structured:

Acknowledgements
Literature Review (or it may be interspersed throughout the dissertation)
Methodology
Results/Findings
References/Bibliography

In the Methodology chapter, you will discuss the research design, data collection methods, data analysis methods, and any ethical considerations pertaining to your study. This allows your readers to understand how your research was conducted and how you arrived at your results.

Advantages of Dissertation Methodology

The dissertation methodology section plays an important role in a dissertation for several reasons. Here are some of the advantages of having a well-crafted methodology section in your dissertation:

Clarifies Your Research Approach : The methodology section explains how you plan to tackle your research question, providing a clear plan for data collection and analysis.
Enables Replication : A detailed methodology allows other researchers to replicate your study. Replication is an important aspect of scientific research because it provides validation of the study’s results.
Demonstrates Rigor : A well-written methodology shows that you’ve thought critically about your research methods and have chosen the most appropriate ones for your research question. This adds credibility to your study.
Enhances Transparency : Detailing your methods allows readers to understand the steps you took in your research. This increases the transparency of your study and allows readers to evaluate potential biases or limitations.
Helps in Addressing Research Limitations : In your methodology section, you can acknowledge and explain the limitations of your research. This is important as it shows you understand that no research method is perfect and there are always potential weaknesses.
Facilitates Peer Review : A detailed methodology helps peer reviewers assess the soundness of your research design. This is an important part of the publication process if you aim to publish your dissertation in a peer-reviewed journal.
Establishes the Validity and Reliability : Your methodology section should also include a discussion of the steps you took to ensure the validity and reliability of your measurements, which is crucial for establishing the overall quality of your research.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

Delimitations in Research – Types, Examples and...

Research Design – Types, Methods and Examples

What is a Hypothesis – Types, Examples and...

Dissertation – Format, Example and Template

Dissertation vs Thesis – Key Differences

Ethical Considerations – Types, Examples and...

Bipolar Disorder
Therapy Center
When To See a Therapist
Types of Therapy
Best Online Therapy
Best Couples Therapy
Best Family Therapy
Managing Stress
Sleep and Dreaming
Understanding Emotions
Self-Improvement
Healthy Relationships
Student Resources
Personality Types
Guided Meditations
Verywell Mind Insights
2023 Verywell Mind 25
Mental Health in the Classroom
Editorial Process
Meet Our Review Board
Crisis Support

How to Write a Methods Section for a Psychology Paper

Tips and Examples of an APA Methods Section

Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

Emily is a board-certified science editor who has worked with top digital publishing brands like Voices for Biodiversity, Study.com, GoodTherapy, Vox, and Verywell.

Verywell / Brianna Gilmartin

The methods section of an APA format psychology paper provides the methods and procedures used in a research study or experiment . This part of an APA paper is critical because it allows other researchers to see exactly how you conducted your research.

Method refers to the procedure that was used in a research study. It included a precise description of how the experiments were performed and why particular procedures were selected. While the APA technically refers to this section as the 'method section,' it is also often known as a 'methods section.'

The methods section ensures the experiment's reproducibility and the assessment of alternative methods that might produce different results. It also allows researchers to replicate the experiment and judge the study's validity.

This article discusses how to write a methods section for a psychology paper, including important elements to include and tips that can help.

What to Include in a Method Section

So what exactly do you need to include when writing your method section? You should provide detailed information on the following:

Research design
Participants
Participant behavior

The method section should provide enough information to allow other researchers to replicate your experiment or study.

Components of a Method Section

The method section should utilize subheadings to divide up different subsections. These subsections typically include participants, materials, design, and procedure.

Participants

In this part of the method section, you should describe the participants in your experiment, including who they were (and any unique features that set them apart from the general population), how many there were, and how they were selected. If you utilized random selection to choose your participants, it should be noted here.

For example: "We randomly selected 100 children from elementary schools near the University of Arizona."

At the very minimum, this part of your method section must convey:

Basic demographic characteristics of your participants (such as sex, age, ethnicity, or religion)
The population from which your participants were drawn
Any restrictions on your pool of participants
How many participants were assigned to each condition and how they were assigned to each group (i.e., randomly assignment , another selection method, etc.)
Why participants took part in your research (i.e., the study was advertised at a college or hospital, they received some type of incentive, etc.)

Information about participants helps other researchers understand how your study was performed, how generalizable the result might be, and allows other researchers to replicate the experiment with other populations to see if they might obtain the same results.

In this part of the method section, you should describe the materials, measures, equipment, or stimuli used in the experiment. This may include:

Testing instruments
Technical equipment
Any psychological assessments that were used
Any special equipment that was used

For example: "Two stories from Sullivan et al.'s (1994) second-order false belief attribution tasks were used to assess children's understanding of second-order beliefs."

For standard equipment such as computers, televisions, and videos, you can simply name the device and not provide further explanation.

Specialized equipment should be given greater detail, especially if it is complex or created for a niche purpose. In some instances, such as if you created a special material or apparatus for your study, you might need to include an illustration of the item in the appendix of your paper.

In this part of your method section, describe the type of design used in the experiment. Specify the variables as well as the levels of these variables. Identify:

The independent variables
Dependent variables
Control variables
Any extraneous variables that might influence your results.

Also, explain whether your experiment uses a within-groups or between-groups design.

For example: "The experiment used a 3x2 between-subjects design. The independent variables were age and understanding of second-order beliefs."

The next part of your method section should detail the procedures used in your experiment. Your procedures should explain:

What the participants did
How data was collected
The order in which steps occurred

For example: "An examiner interviewed children individually at their school in one session that lasted 20 minutes on average. The examiner explained to each child that he or she would be told two short stories and that some questions would be asked after each story. All sessions were videotaped so the data could later be coded."

Keep this subsection concise yet detailed. Explain what you did and how you did it, but do not overwhelm your readers with too much information.

Tips for How to Write a Methods Section

In addition to following the basic structure of an APA method section, there are also certain things you should remember when writing this section of your paper. Consider the following tips when writing this section:

Use the past tense : Always write the method section in the past tense.
Be descriptive : Provide enough detail that another researcher could replicate your experiment, but focus on brevity. Avoid unnecessary detail that is not relevant to the outcome of the experiment.
Use an academic tone : Use formal language and avoid slang or colloquial expressions. Word choice is also important. Refer to the people in your experiment or study as "participants" rather than "subjects."
Use APA format : Keep a style guide on hand as you write your method section. The Publication Manual of the American Psychological Association is the official source for APA style.
Make connections : Read through each section of your paper for agreement with other sections. If you mention procedures in the method section, these elements should be discussed in the results and discussion sections.
Proofread : Check your paper for grammar, spelling, and punctuation errors.. typos, grammar problems, and spelling errors. Although a spell checker is a handy tool, there are some errors only you can catch.

After writing a draft of your method section, be sure to get a second opinion. You can often become too close to your work to see errors or lack of clarity. Take a rough draft of your method section to your university's writing lab for additional assistance.

A Word From Verywell

The method section is one of the most important components of your APA format paper. The goal of your paper should be to clearly detail what you did in your experiment. Provide enough detail that another researcher could replicate your study if they wanted.

Finally, if you are writing your paper for a class or for a specific publication, be sure to keep in mind any specific instructions provided by your instructor or by the journal editor. Your instructor may have certain requirements that you need to follow while writing your method section.

Frequently Asked Questions

While the subsections can vary, the three components that should be included are sections on the participants, the materials, and the procedures.

Describe who the participants were in the study and how they were selected.
Define and describe the materials that were used including any equipment, tests, or assessments
Describe how the data was collected

To write your methods section in APA format, describe your participants, materials, study design, and procedures. Keep this section succinct, and always write in the past tense. The main heading of this section should be labeled "Method" and it should be centered, bolded, and capitalized. Each subheading within this section should be bolded, left-aligned and in title case.

The purpose of the methods section is to describe what you did in your experiment. It should be brief, but include enough detail that someone could replicate your experiment based on this information. Your methods section should detail what you did to answer your research question. Describe how the study was conducted, the study design that was used and why it was chosen, and how you collected the data and analyzed the results.

Erdemir F. How to write a materials and methods section of a scientific article ? Turk J Urol . 2013;39(Suppl 1):10-5. doi:10.5152/tud.2013.047

Kallet RH. How to write the methods section of a research paper . Respir Care . 2004;49(10):1229-32. PMID: 15447808.

American Psychological Association. Publication Manual of the American Psychological Association (7th ed.). Washington DC: The American Psychological Association; 2019.

American Psychological Association. APA Style Journal Article Reporting Standards . Published 2020.

By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

When you choose to publish with PLOS, your research makes an impact. Make your work accessible to all, without restrictions, and accelerate scientific discovery with options like preprints and published peer review that make your work more Open.

PLOS Biology
PLOS Climate
PLOS Complex Systems
PLOS Computational Biology
PLOS Digital Health
PLOS Genetics
PLOS Global Public Health
PLOS Medicine
PLOS Mental Health
PLOS Neglected Tropical Diseases
PLOS Pathogens
PLOS Sustainability and Transformation
PLOS Collections
How to Write Your Methods

Ensure understanding, reproducibility and replicability

What should you include in your methods section, and how much detail is appropriate?

Why Methods Matter

The methods section was once the most likely part of a paper to be unfairly abbreviated, overly summarized, or even relegated to hard-to-find sections of a publisher’s website. While some journals may responsibly include more detailed elements of methods in supplementary sections, the movement for increased reproducibility and rigor in science has reinstated the importance of the methods section. Methods are now viewed as a key element in establishing the credibility of the research being reported, alongside the open availability of data and results.

A clear methods section impacts editorial evaluation and readers’ understanding, and is also the backbone of transparency and replicability.

For example, the Reproducibility Project: Cancer Biology project set out in 2013 to replicate experiments from 50 high profile cancer papers, but revised their target to 18 papers once they understood how much methodological detail was not contained in the original papers.

What to include in your methods section

What you include in your methods sections depends on what field you are in and what experiments you are performing. However, the general principle in place at the majority of journals is summarized well by the guidelines at PLOS ONE : “The Materials and Methods section should provide enough detail to allow suitably skilled investigators to fully replicate your study. ” The emphases here are deliberate: the methods should enable readers to understand your paper, and replicate your study. However, there is no need to go into the level of detail that a lay-person would require—the focus is on the reader who is also trained in your field, with the suitable skills and knowledge to attempt a replication.

A constant principle of rigorous science

A methods section that enables other researchers to understand and replicate your results is a constant principle of rigorous, transparent, and Open Science. Aim to be thorough, even if a particular journal doesn’t require the same level of detail . Reproducibility is all of our responsibility. You cannot create any problems by exceeding a minimum standard of information. If a journal still has word-limits—either for the overall article or specific sections—and requires some methodological details to be in a supplemental section, that is OK as long as the extra details are searchable and findable .

Imagine replicating your own work, years in the future

As part of PLOS’ presentation on Reproducibility and Open Publishing (part of UCSF’s Reproducibility Series ) we recommend planning the level of detail in your methods section by imagining you are writing for your future self, replicating your own work. When you consider that you might be at a different institution, with different account logins, applications, resources, and access levels—you can help yourself imagine the level of specificity that you yourself would require to redo the exact experiment. Consider:

Which details would you need to be reminded of?
Which cell line, or antibody, or software, or reagent did you use, and does it have a Research Resource ID (RRID) that you can cite?
Which version of a questionnaire did you use in your survey?
Exactly which visual stimulus did you show participants, and is it publicly available?
What participants did you decide to exclude?
What process did you adjust, during your work?

Tip: Be sure to capture any changes to your protocols

You yourself would want to know about any adjustments, if you ever replicate the work, so you can surmise that anyone else would want to as well. Even if a necessary adjustment you made was not ideal, transparency is the key to ensuring this is not regarded as an issue in the future. It is far better to transparently convey any non-optimal methods, or methodological constraints, than to conceal them, which could result in reproducibility or ethical issues downstream.

Visual aids for methods help when reading the whole paper

Consider whether a visual representation of your methods could be appropriate or aid understanding your process. A visual reference readers can easily return to, like a flow-diagram, decision-tree, or checklist, can help readers to better understand the complete article, not just the methods section.

Ethical Considerations

In addition to describing what you did, it is just as important to assure readers that you also followed all relevant ethical guidelines when conducting your research. While ethical standards and reporting guidelines are often presented in a separate section of a paper, ensure that your methods and protocols actually follow these guidelines. Read more about ethics .

Existing standards, checklists, guidelines, partners

While the level of detail contained in a methods section should be guided by the universal principles of rigorous science outlined above, various disciplines, fields, and projects have worked hard to design and develop consistent standards, guidelines, and tools to help with reporting all types of experiment. Below, you’ll find some of the key initiatives. Ensure you read the submission guidelines for the specific journal you are submitting to, in order to discover any further journal- or field-specific policies to follow, or initiatives/tools to utilize.

Tip: Keep your paper moving forward by providing the proper paperwork up front

Be sure to check the journal guidelines and provide the necessary documents with your manuscript submission. Collecting the necessary documentation can greatly slow the first round of peer review, or cause delays when you submit your revision.

Randomized Controlled Trials – CONSORT The Consolidated Standards of Reporting Trials (CONSORT) project covers various initiatives intended to prevent the problems of inadequate reporting of randomized controlled trials. The primary initiative is an evidence-based minimum set of recommendations for reporting randomized trials known as the CONSORT Statement .

Systematic Reviews and Meta-Analyses – PRISMA The Preferred Reporting Items for Systematic Reviews and Meta-Analyses ( PRISMA ) is an evidence-based minimum set of items focusing on the reporting of reviews evaluating randomized trials and other types of research.

Research using Animals – ARRIVE The Animal Research: Reporting of In Vivo Experiments ( ARRIVE ) guidelines encourage maximizing the information reported in research using animals thereby minimizing unnecessary studies. (Original study and proposal , and updated guidelines , in PLOS Biology .)

Laboratory Protocols Protocols.io has developed a platform specifically for the sharing and updating of laboratory protocols , which are assigned their own DOI and can be linked from methods sections of papers to enhance reproducibility. Contextualize your protocol and improve discovery with an accompanying Lab Protocol article in PLOS ONE .

Consistent reporting of Materials, Design, and Analysis – the MDAR checklist A cross-publisher group of editors and experts have developed, tested, and rolled out a checklist to help establish and harmonize reporting standards in the Life Sciences . The checklist , which is available for use by authors to compile their methods, and editors/reviewers to check methods, establishes a minimum set of requirements in transparent reporting and is adaptable to any discipline within the Life Sciences, by covering a breadth of potentially relevant methodological items and considerations. If you are in the Life Sciences and writing up your methods section, try working through the MDAR checklist and see whether it helps you include all relevant details into your methods, and whether it reminded you of anything you might have missed otherwise.

Summary Writing tips

The main challenge you may find when writing your methods is keeping it readable AND covering all the details needed for reproducibility and replicability. While this is difficult, do not compromise on rigorous standards for credibility!

Keep in mind future replicability, alongside understanding and readability.
Follow checklists, and field- and journal-specific guidelines.
Consider a commitment to rigorous and transparent science a personal responsibility, and not just adhering to journal guidelines.
Establish whether there are persistent identifiers for any research resources you use that can be specifically cited in your methods section.
Deposit your laboratory protocols in Protocols.io, establishing a permanent link to them. You can update your protocols later if you improve on them, as can future scientists who follow your protocols.
Consider visual aids like flow-diagrams, lists, to help with reading other sections of the paper.
Be specific about all decisions made during the experiments that someone reproducing your work would need to know.

Don’t

Summarize or abbreviate methods without giving full details in a discoverable supplemental section.
Presume you will always be able to remember how you performed the experiments, or have access to private or institutional notebooks and resources.
Attempt to hide constraints or non-optimal decisions you had to make–transparency is the key to ensuring the credibility of your research.
How to Write a Great Title
How to Write an Abstract
How to Report Statistics
How to Write Discussions and Conclusions
How to Edit Your Work

The contents of the Peer Review Center are also available as a live, interactive training session, complete with slides, talking points, and activities. …

The contents of the Writing Center are also available as a live, interactive training session, complete with slides, talking points, and activities. …

There’s a lot to consider when deciding where to submit your work. Learn how to choose a journal that will help your study reach its audience, while reflecting your values as a researcher…

Resources Home 🏠
Try SciSpace Copilot
Search research papers
Add Copilot Extension
Try AI Detector
Try Paraphraser
Try Citation Generator
April Papers
June Papers
July Papers

Here's What You Need to Understand About Research Methodology

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

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

What is the definition of a research methodology?

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

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

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

Analyze and understand research methodologies faster with SciSpace Copilot

The need for a good research methodology

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

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

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

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

What is the basic structure of a research methodology?

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

1. Your research procedure

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

2. Provide the rationality behind your chosen approach

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

3. Explain your mechanism

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

4. Significance of outcomes

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

5. Reader’s advice

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

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

6. Explain your sample space

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

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

7. Challenges and limitations

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

The importance of a good research methodology

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

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

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

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

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

Instruments you could use while writing a good research methodology

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

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

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

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

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

c. Sample Groups

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

d. Observations

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

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

Types of research methodology

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

1. Qualitative research methodology

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

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

2. Quantitative research methodology

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

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

3. Amalgam methodology

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

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

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

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

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

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

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

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

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

Frequently Asked Questions (FAQs) about Research Methodology

1. how to write a research methodology.

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

2. What are the types of research methodology?

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

Observation
Experimental
Derivational

3. What is the true meaning of research methodology?

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

4. Where lies the importance of research methodology?

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

Consensus GPT vs. SciSpace GPT: Choose the Best GPT for Research

Literature Review and Theoretical Framework: Understanding the Differences

Using AI for research: A beginner’s guide

Have a language expert improve your writing

Run a free plagiarism check in 10 minutes, generate accurate citations for free.

Knowledge Base

Methodology

Research Methods | Definitions, Types, Examples

Research methods are specific procedures for collecting and analyzing data. Developing your research methods is an integral part of your research design . When planning your methods, there are two key decisions you will make.

First, decide how you will collect data . Your methods depend on what type of data you need to answer your research question :

Qualitative vs. quantitative : Will your data take the form of words or numbers?
Primary vs. secondary : Will you collect original data yourself, or will you use data that has already been collected by someone else?
Descriptive vs. experimental : Will you take measurements of something as it is, or will you perform an experiment?

Second, decide how you will analyze the data .

For quantitative data, you can use statistical analysis methods to test relationships between variables.
For qualitative data, you can use methods such as thematic analysis to interpret patterns and meanings in the data.

Methods for collecting data, examples of data collection methods, methods for analyzing data, examples of data analysis methods, other interesting articles, frequently asked questions about research methods.

Data is the information that you collect for the purposes of answering your research question . The type of data you need depends on the aims of your research.

Qualitative vs. quantitative data

Your choice of qualitative or quantitative data collection depends on the type of knowledge you want to develop.

For questions about ideas, experiences and meanings, or to study something that can’t be described numerically, collect qualitative data .

If you want to develop a more mechanistic understanding of a topic, or your research involves hypothesis testing , collect quantitative data .

You can also take a mixed methods approach , where you use both qualitative and quantitative research methods.

Primary vs. secondary research

Primary research is any original data that you collect yourself for the purposes of answering your research question (e.g. through surveys , observations and experiments ). Secondary research is data that has already been collected by other researchers (e.g. in a government census or previous scientific studies).

If you are exploring a novel research question, you’ll probably need to collect primary data . But if you want to synthesize existing knowledge, analyze historical trends, or identify patterns on a large scale, secondary data might be a better choice.

Descriptive vs. experimental data

In descriptive research , you collect data about your study subject without intervening. The validity of your research will depend on your sampling method .

In experimental research , you systematically intervene in a process and measure the outcome. The validity of your research will depend on your experimental design .

To conduct an experiment, you need to be able to vary your independent variable , precisely measure your dependent variable, and control for confounding variables . If it’s practically and ethically possible, this method is the best choice for answering questions about cause and effect.

Receive feedback on language, structure, and formatting

Professional editors proofread and edit your paper by focusing on:

Academic style
Vague sentences
Style consistency

See an example

Your data analysis methods will depend on the type of data you collect and how you prepare it for analysis.

Data can often be analyzed both quantitatively and qualitatively. For example, survey responses could be analyzed qualitatively by studying the meanings of responses or quantitatively by studying the frequencies of responses.

Qualitative analysis methods

Qualitative analysis is used to understand words, ideas, and experiences. You can use it to interpret data that was collected:

From open-ended surveys and interviews , literature reviews , case studies , ethnographies , and other sources that use text rather than numbers.
Using non-probability sampling methods .

Qualitative analysis tends to be quite flexible and relies on the researcher’s judgement, so you have to reflect carefully on your choices and assumptions and be careful to avoid research bias .

Quantitative analysis methods

Quantitative analysis uses numbers and statistics to understand frequencies, averages and correlations (in descriptive studies) or cause-and-effect relationships (in experiments).

You can use quantitative analysis to interpret data that was collected either:

During an experiment .
Using probability sampling methods .

Because the data is collected and analyzed in a statistically valid way, the results of quantitative analysis can be easily standardized and shared among researchers.

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

Chi square test of independence
Statistical power
Descriptive statistics
Degrees of freedom
Pearson correlation
Null hypothesis
Double-blind study
Case-control study
Research ethics
Data collection
Hypothesis testing
Structured interviews

Research bias

Hawthorne effect
Unconscious bias
Recall bias
Halo effect
Self-serving bias
Information bias

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

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

In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .

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.

The research methods you use depend on the type of data you need to answer your research question .

If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts and meanings, use qualitative methods .
If you want to analyze a large amount of readily-available data, use secondary data. If you want data specific to your purposes with control over how it is generated, collect primary data.
If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

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

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

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

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

Is this article helpful?

Other students also liked, writing strong research questions | criteria & examples.

What Is a Research Design | Types, Guide & Examples
Data Collection | Definition, Methods & Examples

Unlimited Academic AI-Proofreading

✔ Document error-free in 5minutes ✔ Unlimited document corrections ✔ Specialized in correcting academic texts

What Is Research Methodology? A Plain-Language Explanation & Definition (With Examples)

By Derek Jansen (MBA) and Kerryn Warren (PhD) | June 2020 (Last updated April 2023)

If you’re new to formal academic research, it’s quite likely that you’re feeling a little overwhelmed by all the technical lingo that gets thrown around. And who could blame you – “research methodology”, “research methods”, “sampling strategies”… it all seems never-ending!

In this post, we’ll demystify the landscape with plain-language explanations and loads of examples (including easy-to-follow videos), so that you can approach your dissertation, thesis or research project with confidence. Let’s get started.

Research Methodology 101

What exactly research methodology means
What qualitative , quantitative and mixed methods are
What sampling strategy is
What data collection methods are
What data analysis methods are
How to choose your research methodology
Example of a research methodology

What is research methodology?

Research methodology simply refers to the practical “how” of a research study. More specifically, it’s about how a researcher systematically designs a study to ensure valid and reliable results that address the research aims, objectives and research questions . Specifically, how the researcher went about deciding:

What type of data to collect (e.g., qualitative or quantitative data )
Who to collect it from (i.e., the sampling strategy )
How to collect it (i.e., the data collection method )
How to analyse it (i.e., the data analysis methods )

Within any formal piece of academic research (be it a dissertation, thesis or journal article), you’ll find a research methodology chapter or section which covers the aspects mentioned above. Importantly, a good methodology chapter explains not just what methodological choices were made, but also explains why they were made. In other words, the methodology chapter should justify the design choices, by showing that the chosen methods and techniques are the best fit for the research aims, objectives and research questions.

So, it’s the same as research design?

Not quite. As we mentioned, research methodology refers to the collection of practical decisions regarding what data you’ll collect, from who, how you’ll collect it and how you’ll analyse it. Research design, on the other hand, is more about the overall strategy you’ll adopt in your study. For example, whether you’ll use an experimental design in which you manipulate one variable while controlling others. You can learn more about research design and the various design types here .

Need a helping hand?

What are qualitative, quantitative and mixed-methods?

Qualitative, quantitative and mixed-methods are different types of methodological approaches, distinguished by their focus on words , numbers or both . This is a bit of an oversimplification, but its a good starting point for understanding.

Let’s take a closer look.

Qualitative research refers to research which focuses on collecting and analysing words (written or spoken) and textual or visual data, whereas quantitative research focuses on measurement and testing using numerical data . Qualitative analysis can also focus on other “softer” data points, such as body language or visual elements.

It’s quite common for a qualitative methodology to be used when the research aims and research questions are exploratory in nature. For example, a qualitative methodology might be used to understand peoples’ perceptions about an event that took place, or a political candidate running for president.

Contrasted to this, a quantitative methodology is typically used when the research aims and research questions are confirmatory in nature. For example, a quantitative methodology might be used to measure the relationship between two variables (e.g. personality type and likelihood to commit a crime) or to test a set of hypotheses .

As you’ve probably guessed, the mixed-method methodology attempts to combine the best of both qualitative and quantitative methodologies to integrate perspectives and create a rich picture. If you’d like to learn more about these three methodological approaches, be sure to watch our explainer video below.

What is sampling strategy?

Simply put, sampling is about deciding who (or where) you’re going to collect your data from . Why does this matter? Well, generally it’s not possible to collect data from every single person in your group of interest (this is called the “population”), so you’ll need to engage a smaller portion of that group that’s accessible and manageable (this is called the “sample”).

How you go about selecting the sample (i.e., your sampling strategy) will have a major impact on your study. There are many different sampling methods you can choose from, but the two overarching categories are probability sampling and non-probability sampling .

Probability sampling involves using a completely random sample from the group of people you’re interested in. This is comparable to throwing the names all potential participants into a hat, shaking it up, and picking out the “winners”. By using a completely random sample, you’ll minimise the risk of selection bias and the results of your study will be more generalisable to the entire population.

Non-probability sampling , on the other hand, doesn’t use a random sample . For example, it might involve using a convenience sample, which means you’d only interview or survey people that you have access to (perhaps your friends, family or work colleagues), rather than a truly random sample. With non-probability sampling, the results are typically not generalisable .

To learn more about sampling methods, be sure to check out the video below.

What are data collection methods?

As the name suggests, data collection methods simply refers to the way in which you go about collecting the data for your study. Some of the most common data collection methods include:

Interviews (which can be unstructured, semi-structured or structured)
Focus groups and group interviews
Surveys (online or physical surveys)
Observations (watching and recording activities)
Biophysical measurements (e.g., blood pressure, heart rate, etc.)
Documents and records (e.g., financial reports, court records, etc.)

The choice of which data collection method to use depends on your overall research aims and research questions , as well as practicalities and resource constraints. For example, if your research is exploratory in nature, qualitative methods such as interviews and focus groups would likely be a good fit. Conversely, if your research aims to measure specific variables or test hypotheses, large-scale surveys that produce large volumes of numerical data would likely be a better fit.

What are data analysis methods?

Data analysis methods refer to the methods and techniques that you’ll use to make sense of your data. These can be grouped according to whether the research is qualitative (words-based) or quantitative (numbers-based).

Popular data analysis methods in qualitative research include:

Qualitative content analysis
Thematic analysis
Discourse analysis
Narrative analysis
Interpretative phenomenological analysis (IPA)
Visual analysis (of photographs, videos, art, etc.)

Qualitative data analysis all begins with data coding , after which an analysis method is applied. In some cases, more than one analysis method is used, depending on the research aims and research questions . In the video below, we explore some common qualitative analysis methods, along with practical examples.

Moving on to the quantitative side of things, popular data analysis methods in this type of research include:

Descriptive statistics (e.g. means, medians, modes )
Inferential statistics (e.g. correlation, regression, structural equation modelling)

Again, the choice of which data collection method to use depends on your overall research aims and objectives , as well as practicalities and resource constraints. In the video below, we explain some core concepts central to quantitative analysis.

How do I choose a research methodology?

As you’ve probably picked up by now, your research aims and objectives have a major influence on the research methodology . So, the starting point for developing your research methodology is to take a step back and look at the big picture of your research, before you make methodology decisions. The first question you need to ask yourself is whether your research is exploratory or confirmatory in nature.

If your research aims and objectives are primarily exploratory in nature, your research will likely be qualitative and therefore you might consider qualitative data collection methods (e.g. interviews) and analysis methods (e.g. qualitative content analysis).

Conversely, if your research aims and objective are looking to measure or test something (i.e. they’re confirmatory), then your research will quite likely be quantitative in nature, and you might consider quantitative data collection methods (e.g. surveys) and analyses (e.g. statistical analysis).

Designing your research and working out your methodology is a large topic, which we cover extensively on the blog . For now, however, the key takeaway is that you should always start with your research aims, objectives and research questions (the golden thread). Every methodological choice you make needs align with those three components.

Example of a research methodology chapter

In the video below, we provide a detailed walkthrough of a research methodology from an actual dissertation, as well as an overview of our free methodology template .

Psst… there’s more (for free)

This post is part of our dissertation mini-course, which covers everything you need to get started with your dissertation, thesis or research project.

You Might Also Like:

199 Comments

Thank you for this simple yet comprehensive and easy to digest presentation. God Bless!

You’re most welcome, Leo. Best of luck with your research!

I found it very useful. many thanks

This is really directional. A make-easy research knowledge.

Thank you for this, I think will help my research proposal

Thanks for good interpretation,well understood.

Good morning sorry I want to the search topic

Thank u more

Thank you, your explanation is simple and very helpful.

Very educative a.nd exciting platform. A bigger thank you and I’ll like to always be with you

That’s the best analysis

So simple yet so insightful. Thank you.

This really easy to read as it is self-explanatory. Very much appreciated…

Thanks for this. It’s so helpful and explicit. For those elements highlighted in orange, they were good sources of referrals for concepts I didn’t understand. A million thanks for this.

Good morning, I have been reading your research lessons through out a period of times. They are important, impressive and clear. Want to subscribe and be and be active with you.

Thankyou So much Sir Derek…

Good morning thanks so much for the on line lectures am a student of university of Makeni.select a research topic and deliberate on it so that we’ll continue to understand more.sorry that’s a suggestion.

Beautiful presentation. I love it.

please provide a research mehodology example for zoology

It’s very educative and well explained

Thanks for the concise and informative data.

This is really good for students to be safe and well understand that research is all about

Thank you so much Derek sir🖤🙏🤗

Very simple and reliable

This is really helpful. Thanks alot. God bless you.

very useful, Thank you very much..

thanks a lot its really useful

in a nutshell..thank you!

Thanks for updating my understanding on this aspect of my Thesis writing.

thank you so much my through this video am competently going to do a good job my thesis

Thanks a lot. Very simple to understand. I appreciate 🙏

Very simple but yet insightful Thank you

This has been an eye opening experience. Thank you grad coach team.

Very useful message for research scholars

Really very helpful thank you

yes you are right and i’m left

Research methodology with a simplest way i have never seen before this article.

wow thank u so much

Good morning thanks so much for the on line lectures am a student of university of Makeni.select a research topic and deliberate on is so that we will continue to understand more.sorry that’s a suggestion.

Very precise and informative.

Thanks for simplifying these terms for us, really appreciate it.

Thanks this has really helped me. It is very easy to understand.

I found the notes and the presentation assisting and opening my understanding on research methodology

Good presentation

Im so glad you clarified my misconceptions. Im now ready to fry my onions. Thank you so much. God bless

Thank you a lot.

thanks for the easy way of learning and desirable presentation.

Thanks a lot. I am inspired

Well written

I am writing a APA Format paper . I using questionnaire with 120 STDs teacher for my participant. Can you write me mthology for this research. Send it through email sent. Just need a sample as an example please. My topic is ” impacts of overcrowding on students learning

Thanks for your comment.

We can’t write your methodology for you. If you’re looking for samples, you should be able to find some sample methodologies on Google. Alternatively, you can download some previous dissertations from a dissertation directory and have a look at the methodology chapters therein.

All the best with your research.

Thank you so much for this!! God Bless

Thank you. Explicit explanation

Thank you, Derek and Kerryn, for making this simple to understand. I’m currently at the inception stage of my research.

Thnks a lot , this was very usefull on my assignment

excellent explanation

I’m currently working on my master’s thesis, thanks for this! I’m certain that I will use Qualitative methodology.

Thanks a lot for this concise piece, it was quite relieving and helpful. God bless you BIG…

I am currently doing my dissertation proposal and I am sure that I will do quantitative research. Thank you very much it was extremely helpful.

Very interesting and informative yet I would like to know about examples of Research Questions as well, if possible.

I’m about to submit a research presentation, I have come to understand from your simplification on understanding research methodology. My research will be mixed methodology, qualitative as well as quantitative. So aim and objective of mixed method would be both exploratory and confirmatory. Thanks you very much for your guidance.

OMG thanks for that, you’re a life saver. You covered all the points I needed. Thank you so much ❤️ ❤️ ❤️

Thank you immensely for this simple, easy to comprehend explanation of data collection methods. I have been stuck here for months 😩. Glad I found your piece. Super insightful.

I’m going to write synopsis which will be quantitative research method and I don’t know how to frame my topic, can I kindly get some ideas..

Thanks for this, I was really struggling.

This was really informative I was struggling but this helped me.

Thanks a lot for this information, simple and straightforward. I’m a last year student from the University of South Africa UNISA South Africa.

its very much informative and understandable. I have enlightened.

An interesting nice exploration of a topic.

Thank you. Accurate and simple🥰

This article was really helpful, it helped me understanding the basic concepts of the topic Research Methodology. The examples were very clear, and easy to understand. I would like to visit this website again. Thank you so much for such a great explanation of the subject.

Thanks dude

Thank you Doctor Derek for this wonderful piece, please help to provide your details for reference purpose. God bless.

Many compliments to you

Great work , thank you very much for the simple explanation

Thank you. I had to give a presentation on this topic. I have looked everywhere on the internet but this is the best and simple explanation.

thank you, its very informative.

Well explained. Now I know my research methodology will be qualitative and exploratory. Thank you so much, keep up the good work

Well explained, thank you very much.

This is good explanation, I have understood the different methods of research. Thanks a lot.

Great work…very well explanation

Thanks Derek. Kerryn was just fantastic!

Great to hear that, Hyacinth. Best of luck with your research!

Its a good templates very attractive and important to PhD students and lectuter

Thanks for the feedback, Matobela. Good luck with your research methodology.

Thank you. This is really helpful.

You’re very welcome, Elie. Good luck with your research methodology.

Well explained thanks

This is a very helpful site especially for young researchers at college. It provides sufficient information to guide students and equip them with the necessary foundation to ask any other questions aimed at deepening their understanding.

Thanks for the kind words, Edward. Good luck with your research!

Thank you. I have learned a lot.

Great to hear that, Ngwisa. Good luck with your research methodology!

Thank you for keeping your presentation simples and short and covering key information for research methodology. My key takeaway: Start with defining your research objective the other will depend on the aims of your research question.

My name is Zanele I would like to be assisted with my research , and the topic is shortage of nursing staff globally want are the causes , effects on health, patients and community and also globally

Thanks for making it simple and clear. It greatly helped in understanding research methodology. Regards.

This is well simplified and straight to the point

Thank you Dr

I was given an assignment to research 2 publications and describe their research methodology? I don’t know how to start this task can someone help me?

Sure. You’re welcome to book an initial consultation with one of our Research Coaches to discuss how we can assist – https://gradcoach.com/book/new/ .

Thanks a lot I am relieved of a heavy burden.keep up with the good work

I’m very much grateful Dr Derek. I’m planning to pursue one of the careers that really needs one to be very much eager to know. There’s a lot of research to do and everything, but since I’ve gotten this information I will use it to the best of my potential.

Thank you so much, words are not enough to explain how helpful this session has been for me!

Thanks this has thought me alot.

Very concise and helpful. Thanks a lot

Thank Derek. This is very helpful. Your step by step explanation has made it easier for me to understand different concepts. Now i can get on with my research.

I wish i had come across this sooner. So simple but yet insightful

really nice explanation thank you so much

I’m so grateful finding this site, it’s really helpful…….every term well explained and provide accurate understanding especially to student going into an in-depth research for the very first time, even though my lecturer already explained this topic to the class, I think I got the clear and efficient explanation here, much thanks to the author.

It is very helpful material

I would like to be assisted with my research topic : Literature Review and research methodologies. My topic is : what is the relationship between unemployment and economic growth?

Its really nice and good for us.

THANKS SO MUCH FOR EXPLANATION, ITS VERY CLEAR TO ME WHAT I WILL BE DOING FROM NOW .GREAT READS.

Short but sweet.Thank you

Informative article. Thanks for your detailed information.

I’m currently working on my Ph.D. thesis. Thanks a lot, Derek and Kerryn, Well-organized sequences, facilitate the readers’ following.

great article for someone who does not have any background can even understand

I am a bit confused about research design and methodology. Are they the same? If not, what are the differences and how are they related?

Thanks in advance.

concise and informative.

Thank you very much

How can we site this article is Harvard style?

Very well written piece that afforded better understanding of the concept. Thank you!

Am a new researcher trying to learn how best to write a research proposal. I find your article spot on and want to download the free template but finding difficulties. Can u kindly send it to my email, the free download entitled, “Free Download: Research Proposal Template (with Examples)”.

Thank too much

Thank you very much for your comprehensive explanation about research methodology so I like to thank you again for giving us such great things.

Good very well explained.Thanks for sharing it.

Thank u sir, it is really a good guideline.

so helpful thank you very much.

Thanks for the video it was very explanatory and detailed, easy to comprehend and follow up. please, keep it up the good work

It was very helpful, a well-written document with precise information.

how do i reference this?

MLA Jansen, Derek, and Kerryn Warren. “What (Exactly) Is Research Methodology?” Grad Coach, June 2021, gradcoach.com/what-is-research-methodology/.

APA Jansen, D., & Warren, K. (2021, June). What (Exactly) Is Research Methodology? Grad Coach. https://gradcoach.com/what-is-research-methodology/

Your explanation is easily understood. Thank you

Very help article. Now I can go my methodology chapter in my thesis with ease

I feel guided ,Thank you

This simplification is very helpful. It is simple but very educative, thanks ever so much

The write up is informative and educative. It is an academic intellectual representation that every good researcher can find useful. Thanks

Wow, this is wonderful long live.

Nice initiative

thank you the video was helpful to me.

Thank you very much for your simple and clear explanations I’m really satisfied by the way you did it By now, I think I can realize a very good article by following your fastidious indications May God bless you

Thanks very much, it was very concise and informational for a beginner like me to gain an insight into what i am about to undertake. I really appreciate.

very informative sir, it is amazing to understand the meaning of question hidden behind that, and simple language is used other than legislature to understand easily. stay happy.

This one is really amazing. All content in your youtube channel is a very helpful guide for doing research. Thanks, GradCoach.

research methodologies

Please send me more information concerning dissertation research.

Nice piece of knowledge shared….. #Thump_UP

This is amazing, it has said it all. Thanks to Gradcoach

This is wonderful,very elaborate and clear.I hope to reach out for your assistance in my research very soon.

This is the answer I am searching about…

realy thanks a lot

Thank you very much for this awesome, to the point and inclusive article.

Thank you very much I need validity and reliability explanation I have exams

Thank you for a well explained piece. This will help me going forward.

Very simple and well detailed Many thanks

This is so very simple yet so very effective and comprehensive. An Excellent piece of work.

I wish I saw this earlier on! Great insights for a beginner(researcher) like me. Thanks a mil!

Thank you very much, for such a simplified, clear and practical step by step both for academic students and general research work. Holistic, effective to use and easy to read step by step. One can easily apply the steps in practical terms and produce a quality document/up-to standard

Thanks for simplifying these terms for us, really appreciated.

Thanks for a great work. well understood .

This was very helpful. It was simple but profound and very easy to understand. Thank you so much!

Great and amazing research guidelines. Best site for learning research

hello sir/ma’am, i didn’t find yet that what type of research methodology i am using. because i am writing my report on CSR and collect all my data from websites and articles so which type of methodology i should write in dissertation report. please help me. i am from India.

how does this really work?

perfect content, thanks a lot

As a researcher, I commend you for the detailed and simplified information on the topic in question. I would like to remain in touch for the sharing of research ideas on other topics. Thank you

Impressive. Thank you, Grad Coach 😍

Thank you Grad Coach for this piece of information. I have at least learned about the different types of research methodologies.

Very useful content with easy way

Thank you very much for the presentation. I am an MPH student with the Adventist University of Africa. I have successfully completed my theory and starting on my research this July. My topic is “Factors associated with Dental Caries in (one District) in Botswana. I need help on how to go about this quantitative research

I am so grateful to run across something that was sooo helpful. I have been on my doctorate journey for quite some time. Your breakdown on methodology helped me to refresh my intent. Thank you.

thanks so much for this good lecture. student from university of science and technology, Wudil. Kano Nigeria.

It’s profound easy to understand I appreciate

Thanks a lot for sharing superb information in a detailed but concise manner. It was really helpful and helped a lot in getting into my own research methodology.

Comment * thanks very much

This was sooo helpful for me thank you so much i didn’t even know what i had to write thank you!

You’re most welcome 🙂

Simple and good. Very much helpful. Thank you so much.

This is very good work. I have benefited.

Thank you so much for sharing

This is powerful thank you so much guys

I am nkasa lizwi doing my research proposal on honors with the university of Walter Sisulu Komani I m on part 3 now can you assist me.my topic is: transitional challenges faced by educators in intermediate phase in the Alfred Nzo District.

Appreciate the presentation. Very useful step-by-step guidelines to follow.

I appreciate sir

wow! This is super insightful for me. Thank you!

Indeed this material is very helpful! Kudos writers/authors.

I want to say thank you very much, I got a lot of info and knowledge. Be blessed.

I want present a seminar paper on Optimisation of Deep learning-based models on vulnerability detection in digital transactions.

Need assistance

Dear Sir, I want to be assisted on my research on Sanitation and Water management in emergencies areas.

I am deeply grateful for the knowledge gained. I will be getting in touch shortly as I want to be assisted in my ongoing research.

The information shared is informative, crisp and clear. Kudos Team! And thanks a lot!

hello i want to study

Hello!! Grad coach teams. I am extremely happy in your tutorial or consultation. i am really benefited all material and briefing. Thank you very much for your generous helps. Please keep it up. If you add in your briefing, references for further reading, it will be very nice.

All I have to say is, thank u gyz.

Good, l thanks

thank you, it is very useful

Trackbacks/Pingbacks

What Is A Literature Review (In A Dissertation Or Thesis) - Grad Coach - […] the literature review is to inform the choice of methodology for your own research. As we’ve discussed on the Grad Coach blog,…
Free Download: Research Proposal Template (With Examples) - Grad Coach - […] Research design (methodology) […]
Dissertation vs Thesis: What's the difference? - Grad Coach - […] and thesis writing on a daily basis – everything from how to find a good research topic to which…

Submit a Comment Cancel reply

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

Print Friendly

Writing the Research Methodology Section of Your Thesis

This article explains the meaning of research methodology and the purpose and importance of writing a research methodology section or chapter for your thesis paper. It discusses what to include and not include in a research methodology section, the different approaches to research methodology that can be used, and the steps involved in writing a robust research methodology section.

What is a thesis research methodology?

A thesis research methodology explains the type of research performed, justifies the methods that you chose by linking back to the literature review , and describes the data collection and analysis procedures. It is included in your thesis after the Introduction section . Most importantly, this is the section where the readers of your study evaluate its validity and reliability.

What should the research methodology section in your thesis include?

The aim of your thesis
An outline of the research methods chosen (qualitative, quantitative, or mixed methods)
Background and rationale for the methods chosen, explaining why one method was chosen over another
Methods used for data collection and data analysis
Materials and equipment used—keep this brief
Difficulties encountered during data collection and analysis. It is expected that problems will occur during your research process. Use this as an opportunity to demonstrate your problem-solving abilities by explaining how you overcame all obstacles. This builds your readers’ confidence in your study findings.
A brief evaluation of your research explaining whether your results were conclusive and whether your choice of methodology was effective in practice

What should not be included in the research methodology section of your thesis?

Irrelevant details, for example, an extensive review of methodologies (this belongs in the literature review section) or information that does not contribute to the readers’ understanding of your chosen methods
A description of basic procedures
Excessive details about materials and equipment used. If an extremely long and detailed list is necessary, add it as an appendix

Types of methodological approaches

The choice of which methodological approach to use depends on your field of research and your thesis question. Your methodology should establish a clear relationship with your thesis question and must also be supported by your literature review . Types of methodological approaches include quantitative, qualitative, or mixed methods.

Quantitative studies generate data in the form of numbers to count, classify, measure, or identify relationships or patterns. Information may be collected by performing experiments and tests, conducting surveys, or using existing data. The data are analyzed using statistical tests and presented as charts or graphs. Quantitative data are typically used in the Sciences domain.

For example, analyzing the effect of a change, such as alterations in electricity consumption by municipalities after installing LED streetlights.

The raw data will need to be prepared for statistical analysis by identifying variables and checking for missing data and outliers. Details of the statistical software program used (name of the package, version number, and supplier name and location) must also be mentioned.

Qualitative studies gather non-numerical data using, for example, observations, focus groups, and in-depth interviews. Open-ended questions are often posed. This yields rich, detailed, and descriptive results. Qualitative studies are usually subjective and are helpful for investigating social and cultural phenomena, which are difficult to quantify. Qualitative studies are typically used in the Humanities and Social Sciences (HSS) domain.

For example, determining customer perceptions on the extension of a range of baking utensils to include silicone muffin trays.

The raw data will need to be prepared for analysis by coding and categorizing ideas and themes to interpret the meaning behind the responses given.

Mixed methods use a combination of quantitative and qualitative approaches to present multiple findings about a single phenomenon. T his enables triangulation: verification of the data from two or more sources.

Data collection

Explain the rationale behind the sampling procedure you have chosen. This could involve probability sampling (a random sample from the study population) or non-probability sampling (does not use a random sample).

For quantitative studies, describe the sampling procedure and whether statistical tests were used to determine the sample size .

Following our example of analyzing the changes in electricity consumption by municipalities after installing LED streetlights, you will need to determine which municipal areas will be sampled and how the information will be gathered (e.g., a physical survey of the streetlights or reviewing purchase orders).

For qualitative research, describe how the participants were chosen and how the data is going to be collected.

Following our example about determining customer perceptions on the extension of a range of baking utensils to include silicone muffin trays, you will need to decide the criteria for inclusion as a study participant (e.g., women aged 20–70 years, bakeries, and bakery supply shops) and how the information will be collected (e.g., interviews, focus groups, online or in-person questionnaires, or video recordings) .

Data analysis

For quantitative research, describe what tests you plan to perform and why you have chosen them. Popular data analysis methods in quantitative research include:

Descriptive statistics (e.g., means, medians, modes)
Inferential statistics (e.g., correlation, regression, structural equation modeling)

For qualitative research, describe how the data is going to be analyzed and justify your choice. Popular data analysis methods in qualitative research include:

Qualitative content analysis
Thematic analysis
Discourse analysis
Narrative analysis
Grounded theory
Interpretative phenomenological analysis (IPA)

Evaluate and justify your methodological choices

You need to convince the reader that you have made the correct methodological choices. Once again, this ties back to your thesis question and literature review . Write using a persuasive tone, and use rhetoric to convince the reader of the quality, reliability, and validity of your research.

Ethical considerations

The young researcher should maintain objectivity at all times
All participants have the right to privacy and anonymity
Research participation must be voluntary
All subjects have the right to withdraw from the research at any time
Consent must be obtained from all participants before starting the research
Confidentiality of data provided by individuals must be maintained
Consider how the interpretation and reporting of the data will affect the participants

Tips for writing a robust thesis research methodology

Determine what kind of knowledge you are trying to uncover. For example, subjective or objective, experimental or interpretive.
A thorough literature review is the best starting point for choosing your methods.
Ensure that there is continuity throughout the research process. The authenticity of your research depends upon the validity of the research data, the reliability of your data measurements, and the time taken to conduct the analysis.
Choose a research method that is achievable. Consider the time and funds available, feasibility, ethics, and access and availability of equipment to measure the phenomenon or answer your thesis question correctly.
If you are struggling with a concept, ask for help from your supervisor, academic staff members, or fellow students.

A thesis methodology justifies why you have chosen a specific approach to address your thesis question. It explains how you will collect the data and analyze it. Above all, it allows the readers of your study to evaluate its validity and reliability.

A thesis is the most crucial document that you will write during your academic studies. For professional thesis editing and thesis proofreading services, visit Enago Thesis Editing for more information.

Editor’s pick

Get free updates.

Subscribe to our newsletter for regular insights from the research and publishing industry!

Review Checklist

Introduce your methodological approach , for example, quantitative, qualitative, or mixed methods.

Explain why your chosen approach is relevant to the overall research design and how it links with your thesis question.

Justify your chosen method and why it is more appropriate than others.

Provide background information on methods that may be unfamiliar to readers of your thesis.

Introduce the tools that you will use for data collection , and explain how you plan to use them (e.g., surveys, interviews, experiments, or existing data).

Explain how you will analyze your results. The type of analysis used depends on the methods you chose. For example, exploring theoretical perspectives to support your explanation of observed behaviors in a qualitative study or using statistical analyses in a quantitative study.

Mention any research limitations. All studies are expected to have limitations, such as the sample size, data collection method, or equipment. Discussing the limitations justifies your choice of methodology despite the risks. It also explains under which conditions the results should be interpreted and shows that you have taken a holistic approach to your study.

What is the difference between methodology and methods? +

Methodology refers to the overall rationale and strategy of your thesis project. It involves studying the theories or principles behind the methods used in your field so that you can explain why you chose a particular method for your research approach. Methods , on the other hand, refer to how the data were collected and analyzed (e.g., experiments, surveys, observations, interviews, and statistical tests).

What is the difference between reliability and validity? +

Reliability refers to whether a measurement is consistent (i.e., the results can be reproduced under the same conditions). Validity refers to whether a measurement is accurate (i.e., the results represent what was supposed to be measured). For example, when investigating linguistic and cultural guidelines for administration of the Preschool Language Scales, Fifth Edition (PLS5) in Arab-American preschool children, the normative sample curves should show the same distribution as a monolingual population, which would indicate that the test is valid. The test would be considered reliable if the results obtained were consistent across different sampling sites.

What tense is used to write the methods section? +

The methods section is written in the past tense because it describes what was done.

What software programs are recommended for statistical analysis? +

Recommended programs include Statistical Analysis Software (SAS) , Statistical Package for the Social Sciences (SPSS) , JMP , R software, MATLAB , Microsoft Excel, GraphPad Prism , and Minitab .

Get science-backed answers as you write with Paperpal's Research feature

What is Research Methodology? Definition, Types, and Examples

Research methodology 1,2 is a structured and scientific approach used to collect, analyze, and interpret quantitative or qualitative data to answer research questions or test hypotheses. A research methodology is like a plan for carrying out research and helps keep researchers on track by limiting the scope of the research. Several aspects must be considered before selecting an appropriate research methodology, such as research limitations and ethical concerns that may affect your research.

The research methodology section in a scientific paper describes the different methodological choices made, such as the data collection and analysis methods, and why these choices were selected. The reasons should explain why the methods chosen are the most appropriate to answer the research question. A good research methodology also helps ensure the reliability and validity of the research findings. There are three types of research methodology—quantitative, qualitative, and mixed-method, which can be chosen based on the research objectives.

What is research methodology ?

A research methodology describes the techniques and procedures used to identify and analyze information regarding a specific research topic. It is a process by which researchers design their study so that they can achieve their objectives using the selected research instruments. It includes all the important aspects of research, including research design, data collection methods, data analysis methods, and the overall framework within which the research is conducted. While these points can help you understand what is research methodology, you also need to know why it is important to pick the right methodology.

Why is research methodology important?

Having a good research methodology in place has the following advantages: 3

Helps other researchers who may want to replicate your research; the explanations will be of benefit to them.
You can easily answer any questions about your research if they arise at a later stage.
A research methodology provides a framework and guidelines for researchers to clearly define research questions, hypotheses, and objectives.
It helps researchers identify the most appropriate research design, sampling technique, and data collection and analysis methods.
A sound research methodology helps researchers ensure that their findings are valid and reliable and free from biases and errors.
It also helps ensure that ethical guidelines are followed while conducting research.
A good research methodology helps researchers in planning their research efficiently, by ensuring optimum usage of their time and resources.

Writing the methods section of a research paper? Let Paperpal help you achieve perfection

Types of research methodology.

There are three types of research methodology based on the type of research and the data required. 1

Quantitative research methodology focuses on measuring and testing numerical data. This approach is good for reaching a large number of people in a short amount of time. This type of research helps in testing the causal relationships between variables, making predictions, and generalizing results to wider populations.
Qualitative research methodology examines the opinions, behaviors, and experiences of people. It collects and analyzes words and textual data. This research methodology requires fewer participants but is still more time consuming because the time spent per participant is quite large. This method is used in exploratory research where the research problem being investigated is not clearly defined.
Mixed-method research methodology uses the characteristics of both quantitative and qualitative research methodologies in the same study. This method allows researchers to validate their findings, verify if the results observed using both methods are complementary, and explain any unexpected results obtained from one method by using the other method.

What are the types of sampling designs in research methodology?

Sampling 4 is an important part of a research methodology and involves selecting a representative sample of the population to conduct the study, making statistical inferences about them, and estimating the characteristics of the whole population based on these inferences. There are two types of sampling designs in research methodology—probability and nonprobability.

Probability sampling

In this type of sampling design, a sample is chosen from a larger population using some form of random selection, that is, every member of the population has an equal chance of being selected. The different types of probability sampling are:

Systematic —sample members are chosen at regular intervals. It requires selecting a starting point for the sample and sample size determination that can be repeated at regular intervals. This type of sampling method has a predefined range; hence, it is the least time consuming.
Stratified —researchers divide the population into smaller groups that don’t overlap but represent the entire population. While sampling, these groups can be organized, and then a sample can be drawn from each group separately.
Cluster —the population is divided into clusters based on demographic parameters like age, sex, location, etc.
Convenience —selects participants who are most easily accessible to researchers due to geographical proximity, availability at a particular time, etc.
Purposive —participants are selected at the researcher’s discretion. Researchers consider the purpose of the study and the understanding of the target audience.
Snowball —already selected participants use their social networks to refer the researcher to other potential participants.
Quota —while designing the study, the researchers decide how many people with which characteristics to include as participants. The characteristics help in choosing people most likely to provide insights into the subject.

What are data collection methods?

During research, data are collected using various methods depending on the research methodology being followed and the research methods being undertaken. Both qualitative and quantitative research have different data collection methods, as listed below.

Qualitative research 5

One-on-one interviews: Helps the interviewers understand a respondent’s subjective opinion and experience pertaining to a specific topic or event
Document study/literature review/record keeping: Researchers’ review of already existing written materials such as archives, annual reports, research articles, guidelines, policy documents, etc.
Focus groups: Constructive discussions that usually include a small sample of about 6-10 people and a moderator, to understand the participants’ opinion on a given topic.
Qualitative observation : Researchers collect data using their five senses (sight, smell, touch, taste, and hearing).

Quantitative research 6

Sampling: The most common type is probability sampling.
Interviews: Commonly telephonic or done in-person.
Observations: Structured observations are most commonly used in quantitative research. In this method, researchers make observations about specific behaviors of individuals in a structured setting.
Document review: Reviewing existing research or documents to collect evidence for supporting the research.
Surveys and questionnaires. Surveys can be administered both online and offline depending on the requirement and sample size.

Let Paperpal help you write the perfect research methods section. Start now!

What are data analysis methods.

The data collected using the various methods for qualitative and quantitative research need to be analyzed to generate meaningful conclusions. These data analysis methods 7 also differ between quantitative and qualitative research.

Quantitative research involves a deductive method for data analysis where hypotheses are developed at the beginning of the research and precise measurement is required. The methods include statistical analysis applications to analyze numerical data and are grouped into two categories—descriptive and inferential.

Descriptive analysis is used to describe the basic features of different types of data to present it in a way that ensures the patterns become meaningful. The different types of descriptive analysis methods are:

Measures of frequency (count, percent, frequency)
Measures of central tendency (mean, median, mode)
Measures of dispersion or variation (range, variance, standard deviation)
Measure of position (percentile ranks, quartile ranks)

Inferential analysis is used to make predictions about a larger population based on the analysis of the data collected from a smaller population. This analysis is used to study the relationships between different variables. Some commonly used inferential data analysis methods are:

Correlation: To understand the relationship between two or more variables.
Cross-tabulation: Analyze the relationship between multiple variables.
Regression analysis: Study the impact of independent variables on the dependent variable.
Frequency tables: To understand the frequency of data.
Analysis of variance: To test the degree to which two or more variables differ in an experiment.

Qualitative research involves an inductive method for data analysis where hypotheses are developed after data collection. The methods include:

Content analysis: For analyzing documented information from text and images by determining the presence of certain words or concepts in texts.
Narrative analysis: For analyzing content obtained from sources such as interviews, field observations, and surveys. The stories and opinions shared by people are used to answer research questions.
Discourse analysis: For analyzing interactions with people considering the social context, that is, the lifestyle and environment, under which the interaction occurs.
Grounded theory: Involves hypothesis creation by data collection and analysis to explain why a phenomenon occurred.
Thematic analysis: To identify important themes or patterns in data and use these to address an issue.

How to choose a research methodology?

Here are some important factors to consider when choosing a research methodology: 8

Research objectives, aims, and questions —these would help structure the research design.
Review existing literature to identify any gaps in knowledge.
Check the statistical requirements —if data-driven or statistical results are needed then quantitative research is the best. If the research questions can be answered based on people’s opinions and perceptions, then qualitative research is most suitable.
Sample size —sample size can often determine the feasibility of a research methodology. For a large sample, less effort- and time-intensive methods are appropriate.
Constraints —constraints of time, geography, and resources can help define the appropriate methodology.

Got writer’s block? Kickstart your research paper writing with Paperpal now!

How to write a research methodology .

A research methodology should include the following components: 3,9

Research design —should be selected based on the research question and the data required. Common research designs include experimental, quasi-experimental, correlational, descriptive, and exploratory.
Research method —this can be quantitative, qualitative, or mixed-method.
Reason for selecting a specific methodology —explain why this methodology is the most suitable to answer your research problem.
Research instruments —explain the research instruments you plan to use, mainly referring to the data collection methods such as interviews, surveys, etc. Here as well, a reason should be mentioned for selecting the particular instrument.
Sampling —this involves selecting a representative subset of the population being studied.
Data collection —involves gathering data using several data collection methods, such as surveys, interviews, etc.
Data analysis —describe the data analysis methods you will use once you’ve collected the data.
Research limitations —mention any limitations you foresee while conducting your research.
Validity and reliability —validity helps identify the accuracy and truthfulness of the findings; reliability refers to the consistency and stability of the results over time and across different conditions.
Ethical considerations —research should be conducted ethically. The considerations include obtaining consent from participants, maintaining confidentiality, and addressing conflicts of interest.

Streamline Your Research Paper Writing Process with Paperpal

The methods section is a critical part of the research papers, allowing researchers to use this to understand your findings and replicate your work when pursuing their own research. However, it is usually also the most difficult section to write. This is where Paperpal can help you overcome the writer’s block and create the first draft in minutes with Paperpal Copilot, its secure generative AI feature suite.

With Paperpal you can get research advice, write and refine your work, rephrase and verify the writing, and ensure submission readiness, all in one place. Here’s how you can use Paperpal to develop the first draft of your methods section.

Generate an outline: Input some details about your research to instantly generate an outline for your methods section
Develop the section: Use the outline and suggested sentence templates to expand your ideas and develop the first draft.
P araph ras e and trim : Get clear, concise academic text with paraphrasing that conveys your work effectively and word reduction to fix redundancies.
Choose the right words: Enhance text by choosing contextual synonyms based on how the words have been used in previously published work.
Check and verify text : Make sure the generated text showcases your methods correctly, has all the right citations, and is original and authentic. .

You can repeat this process to develop each section of your research manuscript, including the title, abstract and keywords. Ready to write your research papers faster, better, and without the stress? Sign up for Paperpal and start writing today!

Frequently Asked Questions

Q1. What are the key components of research methodology?

A1. A good research methodology has the following key components:

Research design
Data collection procedures
Data analysis methods
Ethical considerations

Q2. Why is ethical consideration important in research methodology?

A2. Ethical consideration is important in research methodology to ensure the readers of the reliability and validity of the study. Researchers must clearly mention the ethical norms and standards followed during the conduct of the research and also mention if the research has been cleared by any institutional board. The following 10 points are the important principles related to ethical considerations: 10

Participants should not be subjected to harm.
Respect for the dignity of participants should be prioritized.
Full consent should be obtained from participants before the study.
Participants’ privacy should be ensured.
Confidentiality of the research data should be ensured.
Anonymity of individuals and organizations participating in the research should be maintained.
The aims and objectives of the research should not be exaggerated.
Affiliations, sources of funding, and any possible conflicts of interest should be declared.
Communication in relation to the research should be honest and transparent.
Misleading information and biased representation of primary data findings should be avoided.

Q3. What is the difference between methodology and method?

A3. Research methodology is different from a research method, although both terms are often confused. Research methods are the tools used to gather data, while the research methodology provides a framework for how research is planned, conducted, and analyzed. The latter guides researchers in making decisions about the most appropriate methods for their research. Research methods refer to the specific techniques, procedures, and tools used by researchers to collect, analyze, and interpret data, for instance surveys, questionnaires, interviews, etc.

Research methodology is, thus, an integral part of a research study. It helps ensure that you stay on track to meet your research objectives and answer your research questions using the most appropriate data collection and analysis tools based on your research design.

Accelerate your research paper writing with Paperpal. Try for free now!

Research methodologies. Pfeiffer Library website. Accessed August 15, 2023. https://library.tiffin.edu/researchmethodologies/whatareresearchmethodologies
Types of research methodology. Eduvoice website. Accessed August 16, 2023. https://eduvoice.in/types-research-methodology/
The basics of research methodology: A key to quality research. Voxco. Accessed August 16, 2023. https://www.voxco.com/blog/what-is-research-methodology/
Sampling methods: Types with examples. QuestionPro website. Accessed August 16, 2023. https://www.questionpro.com/blog/types-of-sampling-for-social-research/
What is qualitative research? Methods, types, approaches, examples. Researcher.Life blog. Accessed August 15, 2023. https://researcher.life/blog/article/what-is-qualitative-research-methods-types-examples/
What is quantitative research? Definition, methods, types, and examples. Researcher.Life blog. Accessed August 15, 2023. https://researcher.life/blog/article/what-is-quantitative-research-types-and-examples/
Data analysis in research: Types & methods. QuestionPro website. Accessed August 16, 2023. https://www.questionpro.com/blog/data-analysis-in-research/#Data_analysis_in_qualitative_research
Factors to consider while choosing the right research methodology. PhD Monster website. Accessed August 17, 2023. https://www.phdmonster.com/factors-to-consider-while-choosing-the-right-research-methodology/
What is research methodology? Research and writing guides. Accessed August 14, 2023. https://paperpile.com/g/what-is-research-methodology/
Ethical considerations. Business research methodology website. Accessed August 17, 2023. https://research-methodology.net/research-methodology/ethical-considerations/

Paperpal is a comprehensive AI writing toolkit that helps students and researchers achieve 2x the writing in half the time. It leverages 21+ years of STM experience and insights from millions of research articles to provide in-depth academic writing, language editing, and submission readiness support to help you write better, faster.

Get accurate academic translations, rewriting support, grammar checks, vocabulary suggestions, and generative AI assistance that delivers human precision at machine speed. Try for free or upgrade to Paperpal Prime starting at US$19 a month to access premium features, including consistency, plagiarism, and 30+ submission readiness checks to help you succeed.

Experience the future of academic writing – Sign up to Paperpal and start writing for free!

Language and Grammar Rules for Academic Writing

Climatic vs. climactic: difference and examples, you may also like, what is hedging in academic writing , how to use ai to enhance your college..., how to use paperpal to generate emails &..., ai in education: it’s time to change the..., is it ethical to use ai-generated abstracts without..., do plagiarism checkers detect ai content, word choice problems: how to use the right..., how to avoid plagiarism when using generative ai..., what are journal guidelines on using generative ai..., types of plagiarism and 6 tips to avoid....

PRO Courses Guides New Tech Help Pro Expert Videos About wikiHow Pro Upgrade Sign In
EDIT Edit this Article
EXPLORE Tech Help Pro About Us Random Article Quizzes Request a New Article Community Dashboard This Or That Game Popular Categories Arts and Entertainment Artwork Books Movies Computers and Electronics Computers Phone Skills Technology Hacks Health Men's Health Mental Health Women's Health Relationships Dating Love Relationship Issues Hobbies and Crafts Crafts Drawing Games Education & Communication Communication Skills Personal Development Studying Personal Care and Style Fashion Hair Care Personal Hygiene Youth Personal Care School Stuff Dating All Categories Arts and Entertainment Finance and Business Home and Garden Relationship Quizzes Cars & Other Vehicles Food and Entertaining Personal Care and Style Sports and Fitness Computers and Electronics Health Pets and Animals Travel Education & Communication Hobbies and Crafts Philosophy and Religion Work World Family Life Holidays and Traditions Relationships Youth
Browse Articles
Learn Something New
Quizzes Hot
This Or That Game New
Train Your Brain
Explore More
Support wikiHow
About wikiHow
Log in / Sign up
Education and Communications
College University and Postgraduate
Academic Writing

How to Write Research Methodology

Last Updated: May 21, 2023 Approved

This article was co-authored by Alexander Ruiz, M.Ed. and by wikiHow staff writer, Jennifer Mueller, JD . Alexander Ruiz is an Educational Consultant and the Educational Director of Link Educational Institute, a tutoring business based in Claremont, California that provides customizable educational plans, subject and test prep tutoring, and college application consulting. With over a decade and a half of experience in the education industry, Alexander coaches students to increase their self-awareness and emotional intelligence while achieving skills and the goal of achieving skills and higher education. He holds a BA in Psychology from Florida International University and an MA in Education from Georgia Southern University. wikiHow marks an article as reader-approved once it receives enough positive feedback. In this case, several readers have written to tell us that this article was helpful to them, earning it our reader-approved status. This article has been viewed 517,417 times.

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

Describing Your Methods

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

Step 2 Establish your overall methodological approach.

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

Step 3 Define how you collected or generated data.

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

Step 4 Provide background for uncommon methods.

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

Step 5 Cite any sources that contributed to your choice of methodology.

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

Justifying Your Choice of Methods

Step 1 Explain your selection criteria for data collection.

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

Step 2 Distinguish your research from any weaknesses in your methods.

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

Step 3 Describe how you overcame obstacles.

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

Step 4 Evaluate other methods you could have used.

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

Connecting Your Methods to Your Research Goals

Step 1 Describe how you analyzed your results.

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

Step 2 Explain how your analysis suits your research goals.

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

Step 3 Identify how your analysis answers your research questions.

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

Step 4 Assess whether your findings can be transferred or generalized.

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

Template to Write Research Methodology

Community Q&A

Organize your methodology section chronologically, starting with how you prepared to conduct your research methods, how you gathered data, and how you analyzed that data. [13] X Research source Thanks Helpful 0 Not Helpful 0
Write your research methodology section in past tense, unless you're submitting the methodology section before the research described has been carried out. [14] X Research source Thanks Helpful 2 Not Helpful 0
Discuss your plans in detail with your advisor or supervisor before committing to a particular methodology. They can help identify possible flaws in your study. [15] X Research source Thanks Helpful 0 Not Helpful 0

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

About This Article

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

Send fan mail to authors

Reader Success Stories

Prof. Dr. Ahmed Askar

Apr 18, 2020

Did this article help you?

M. Mahmood Shah Khan

Mar 17, 2020

Shimola Makondo

Jul 20, 2019

Zain Sharif Mohammed Alnadhery

Jan 7, 2019

Lundi Dukashe

Feb 17, 2020

Featured Articles

Watch Articles

Terms of Use
Privacy Policy
Do Not Sell or Share My Info
Not Selling Info

Get all the best how-tos!

Research Voyage

Research Tips and Infromation

How to Write the Methodology Section of your Dissertation or Thesis?

Introduction

Role of research design in methodology section, how to represent participants or sample data in the methodology section, how to segregate data collection methods in the methodology section, representation of instruments and materials in the methodology section, how to represent data analysis in the methodology section, listing of ethical considerations in methodology section, how to list limitations and delimitations in the methodology section, validity and reliability aspects in methodology section, representation of timeframe and resources in methodology section, segregation of data management in methodology section.

The methodology section is a crucial component of a PhD or Post Graduate dissertation. It plays a fundamental role in demonstrating the rigor and validity of the research conducted. The methodology section outlines the methods used to conduct the research and provides a clear roadmap for the reader to understand how the study was executed.

The methodology section allows researchers to explain their approach and provide the necessary details for others to reproduce or build upon their work. It is essential for establishing the credibility and scientific integrity of the research.

For example, in a dissertation focused on developing a new machine learning algorithm for image classification, the methodology section would describe the specific steps followed to design, implement, and evaluate the algorithm. It would include details such as the choice of programming languages and libraries, the dataset used for training and testing, and the evaluation metrics employed. This information allows other researchers to understand how the algorithm was developed, assess its strengths and limitations, and potentially apply it to their own work.

Similarly, in a dissertation that involves conducting experiments to evaluate the performance of a networking protocol, the methodology section would describe the experimental setup, the hardware and software used, and the metrics measured. It would explain the steps taken to control variables, ensure reproducibility, and analyze the collected data. By documenting the methodology, researchers can provide a clear understanding of how the experiments were conducted, enabling others to validate the results or compare them with alternative approaches.

In both examples, the methodology section serves as a foundation for the research and establishes its scientific validity. It allows researchers to communicate the methods used, justify their choices, and provide the necessary details for others to assess and build upon their work.

By outlining the methodology, researchers can demonstrate their expertise, attention to detail, and adherence to scientific principles. This section also serves as a reference for future researchers who may want to replicate or extend the study. The methodology section is essential for ensuring the transparency, reproducibility, and credibility of research in computer science and contributes to the advancement of knowledge in the field.

If you are in paucity of time, not confident of your writing skills and in a hurry to complete the writing task then you can think of hiring a research consultant that solves all your problems. Please visit my article on Hiring a Research consultant for your PhD tasks for further details.

For any research domain, various research designs can be employed, depending on the nature of the study and the research goals. The choice of research design should align with the specific objectives of the research and the type of data being collected. Here are some examples of research designs commonly used:

Quantitative Research Design: Quantitative research designs focus on collecting and analyzing numerical data to identify patterns, trends, and relationships. This can involve conducting experiments, surveys, or analyzing large datasets. For instance, a study aiming to evaluate the performance of different caching algorithms in a web server environment may use a quantitative design. The researcher could collect data on response times, cache hit rates, and system resource usage to compare the performance of the algorithms quantitatively.
Qualitative Research Design: Qualitative research designs emphasize understanding and interpreting complex phenomena, often through in-depth interviews, observations, or case studies. Qualitative research can be employed to explore user experiences, perceptions, or challenges related to software systems or human-computer interaction. For example, a study investigating user satisfaction and feedback regarding a new mobile application could use qualitative research methods to collect and analyze user interviews or focus group discussions.
Mixed Methods Research Design: Mixed methods research designs combine elements of both quantitative and qualitative approaches. This design allows researchers to gather a comprehensive understanding of a research problem by leveraging the strengths of both types of data. A mixed methods approach can be useful when seeking to explore user behavior (qualitative) and simultaneously collect and analyze usage data (quantitative). For instance, a study on the effectiveness of a learning management system might involve administering surveys to gather user perceptions (qualitative) while also tracking user interactions and performance within the system (quantitative).

When choosing a research design, researchers should consider the specific research goals and the type of data that will provide the most relevant insights. The rationale for selecting a particular design should be based on the strengths of that approach in addressing the research questions or objectives. It is important to justify the chosen design by explaining how it aligns with the research goals and allows for a comprehensive investigation of the phenomenon under study.

For example, in a Ph.D. dissertation focused on developing a new algorithm for sentiment analysis in social media data, a mixed methods research design might be appropriate. The qualitative component could involve analyzing a smaller subset of data manually to gain insights into the nuances and context of sentiment expressions. The quantitative component could involve applying the developed algorithm to a large dataset to measure its performance objectively. The rationale for choosing a mixed methods design would be to combine the benefits of qualitative analysis for understanding the complexities of sentiment expressions with the quantitative analysis for evaluating the algorithm’s accuracy and efficiency.

By selecting an appropriate research design and justifying its suitability, researchers can ensure that their study is well-aligned with their research goals and has the potential to yield valuable and valid findings.

In research, the participants or sample refers to the individuals, organizations, or data sources from which the researcher collects data. The characteristics of the study participants or sample are important to consider, as they can influence the generalizability and applicability of the research findings. Here are some examples of considerations for participants or samples in research:

Characteristics of Participants: Describe the relevant characteristics of the participants in your study. In computer science, participants can include users of a software system, developers, IT professionals, or other stakeholders. For example, if you are conducting a study on the usability of a mobile application, you might describe the age range, technical expertise, or familiarity with similar applications of the participants.
Sample Selection Process: Explain how you selected the participants or sample for your study. In computer science, the sample selection process can vary depending on the research goals and methodologies employed. For instance, if you are conducting a survey on user preferences for a specific software feature, you might recruit participants through online platforms or professional networks. Alternatively, if you are conducting interviews with software developers, you might use purposive sampling to select participants with specific expertise or experience relevant to your research.
Inclusion/Exclusion Criteria: Discuss any inclusion or exclusion criteria used during the participant selection process. In computer science, certain criteria may be relevant for ensuring the sample represents the desired population or meets specific research requirements. For example, if you are studying the impact of a new programming language on software development, you might include participants who have experience with multiple programming languages but exclude those who are novices or have limited experience.
Data Sources: In some computer science research, the sample may refer to data sources rather than human participants. For example, if you are analyzing large datasets, such as social media data or sensor data, you might describe the characteristics of the data sources, such as the volume, variety, or origin of the data. You could also explain the data collection process and any steps taken to ensure data quality and representativeness.

By describing the characteristics of the study participants or sample and explaining the selection process, researchers can provide insights into the population under study and the considerations taken to ensure its relevance to the research objectives. It is important to consider the representativeness of the sample or data sources and to address any potential biases that may arise from the selection process. Transparency in describing the sample characteristics and selection process contributes to the credibility and generalizability of the research findings.

In research, various data collection methods can be employed to gather the necessary data for analysis. The choice of data collection methods should align with the research questions, objectives, and the type of data needed to answer them. Here are some examples of data collection methods commonly used:

Surveys: Surveys involve collecting data through structured questionnaires or online forms. Surveys can be administered to gather information about user preferences, opinions, or experiences related to software systems, user interfaces, or technological adoption. For example, a survey could be conducted to assess user satisfaction with a newly developed mobile application, collecting quantitative data on ratings, feedback, and user demographics.
Interviews: Interviews involve conducting one-on-one or group discussions with participants to gather in-depth qualitative or quantitative data. In computer science, interviews can be used to understand user needs, gather requirements for software development, or explore experiences and perceptions. For instance, interviews could be conducted with software developers to understand their challenges and preferences when using specific programming frameworks or tools.
Observations: Observations involve directly observing participants or systems in their natural environment or controlled settings. In computer science, observations can be used to study user behavior, system interactions, or software development processes. For example, researchers may observe users interacting with a website to gather data on usability or conduct ethnographic observations to understand how users integrate technology into their daily lives.
Experiments: Experiments involve manipulating variables in a controlled environment to assess cause-effect relationships. In computer science, experiments can be used to evaluate the performance of algorithms, software systems, or user interfaces. For example, an experiment might involve comparing the effectiveness of two different algorithms for image recognition by measuring their accuracy, processing time, and resource usage under controlled conditions.
Data Mining and Analysis: Data mining and analysis involve extracting meaningful patterns, insights, or correlations from large datasets. In computer science, data mining techniques can be used to identify trends, anomalies, or patterns in various domains such as social networks, cybersecurity, or recommendation systems. For instance, data mining algorithms could be applied to analyze social media data to identify sentiment trends or to detect patterns of malicious activities in network traffic data.

When choosing specific data collection methods, researchers should consider the research questions or objectives and the type of data needed to answer them effectively. Each data collection method has its strengths and limitations, and the choice should be justified based on their relevance to the research goals. Researchers should also consider practical considerations such as time constraints, available resources, and ethical considerations when selecting data collection methods.

By selecting appropriate data collection methods and justifying their relevance, researchers can ensure the data collected is robust, aligned with the research objectives, and provides valuable insights into the research questions under investigation.

In research, the instruments and materials used for data collection play a crucial role in ensuring the reliability and validity of the findings. These instruments can include questionnaires, scales, interview protocols, software tools, or hardware devices. Here are some examples of instruments and materials commonly used:

Questionnaires: Questionnaires are structured sets of questions used to collect data from participants. In computer science, questionnaires can be used to gather information about user preferences, opinions, or demographics. When developing questionnaires, researchers should pay attention to the clarity, relevance, and appropriateness of the questions. They should also consider the validity and reliability of the questionnaire, which can be established through pilot testing and statistical analysis.
Scales: Scales are instruments used to measure attitudes, opinions, or perceptions of participants on a specific construct. In computer science, scales can be used to assess user satisfaction, system usability, or technology acceptance. Commonly used scales in computer science research include the System Usability Scale (SUS) for evaluating usability and the Technology Acceptance Model (TAM) for assessing users’ acceptance of technology. Researchers should ensure that the scales used have established validity and reliability through previous research studies.
Interview Protocols: Interview protocols are guides or outlines used during interviews to ensure consistency and cover relevant topics. In computer science, interview protocols can be used to gather qualitative or quantitative data from participants. The development of interview protocols involves identifying the research objectives and research questions and designing open-ended or structured questions accordingly. Piloting the interview protocols and considering feedback from participants can help refine and improve their effectiveness.
Software Tools: In computer science research, software tools are often used to collect, analyze, or process data. These tools can include programming languages, data collection platforms, data analysis software, or simulation environments. For example, researchers might use Python programming language and libraries such as TensorFlow or PyTorch for implementing machine learning algorithms. They might also use tools like Qualtrics or LimeSurvey for online survey data collection or tools like SPSS or R for statistical analysis.
Hardware Devices: In certain computer science research, hardware devices are utilized for data collection purposes. For instance, in the field of human-computer interaction, eye-tracking devices or physiological sensors might be used to measure user attention or emotional responses. In such cases, researchers should describe the specific hardware devices used, their specifications, and any calibration or preprocessing steps undertaken to ensure accurate and reliable data collection.

When describing instruments and materials in the methodology section, researchers should provide details about their development, validity, and reliability. This can include information about the process of creating or adapting the instruments, any modifications made to suit the research context, and evidence of their psychometric properties, such as validity and reliability coefficients. Validity can be established through content validity, criterion-related validity, or construct validity, while reliability can be assessed through measures like internal consistency or test-retest reliability.

By providing a comprehensive overview of the instruments and materials used, their development process, and their validity and reliability, computer science researchers can ensure transparency and demonstrate the rigor of their data collection methods. This helps establish the credibility and trustworthiness of the research findings.

Data analysis is a critical step in research as it involves interpreting and deriving meaningful insights from the collected data. The chosen data analysis methods should align with the research objectives and the type of data collected. Here are some examples of data analysis techniques commonly used in research:

Statistical Analysis: Statistical analysis involves applying various statistical tests and techniques to analyze quantitative data. In computer science, statistical analysis can be used to examine relationships, identify patterns, or test hypotheses. For example, researchers may use t-tests, chi-square tests, or ANOVA to compare means or proportions between different groups. Regression analysis can be employed to assess the relationship between variables, and correlation analysis can measure the strength and direction of associations.
Machine Learning: Machine learning techniques are widely used in computer science to analyze and make predictions from large datasets. These techniques include supervised learning algorithms (e.g., decision trees, support vector machines, neural networks) and unsupervised learning algorithms (e.g., clustering, dimensionality reduction). Researchers can employ machine learning techniques for tasks such as classification, regression, clustering, or anomaly detection. Popular machine learning libraries in computer science include scikit-learn, TensorFlow, and PyTorch.
Qualitative Analysis: Qualitative analysis involves interpreting and making sense of qualitative data such as interview transcripts, observation notes, or textual data. In computer science, qualitative analysis methods like thematic analysis, content analysis, or grounded theory can be used to derive themes, patterns, or categories from the data. Qualitative analysis often involves coding the data, categorizing information, and identifying emergent themes or concepts. Software tools such as NVivo or Atlas.ti can be employed to facilitate qualitative analysis.
Text Mining and Natural Language Processing: Text mining and natural language processing (NLP) techniques are used to analyze textual data, such as social media posts, user reviews, or scientific articles. These techniques involve tasks like sentiment analysis, topic modeling, named entity recognition, or text classification. In computer science, researchers may employ libraries such as NLTK, spaCy, or gensim to preprocess and analyze text data and derive insights from it.

When justifying the chosen data analysis methods, researchers should explain how these methods align with the research objectives and research questions. The chosen analysis methods should allow researchers to address the research objectives effectively and extract meaningful insights from the data. Researchers should also consider the limitations and assumptions of the chosen methods and discuss any steps taken to address potential biases or limitations in the analysis process.

Additionally, it is important to mention the software packages or tools used for data analysis. This provides transparency and allows other researchers to replicate or validate the analysis. Researchers should provide information about the specific versions of software packages used, any preprocessing steps applied to the data, and the rationale behind choosing those particular tools.

Ethical considerations are of utmost importance in any research study. Researchers need to ensure that the rights, privacy, and well-being of participants are protected throughout the research process. Here are some examples of ethical considerations commonly addressed in research:

Informed Consent: Informed consent is a fundamental ethical principle that requires researchers to obtain the voluntary and informed agreement of participants before their involvement in the study. In computer science research, participants should be provided with clear and understandable information about the study’s purpose, procedures, potential risks and benefits, confidentiality, and their rights as participants. For example, if conducting user studies for a software evaluation, participants should be informed about the purpose of the study, the tasks they will be asked to perform, and how their data will be collected and used.
Privacy and Confidentiality: Privacy and confidentiality are essential considerations, particularly when dealing with sensitive data or personal information. In computer science research, researchers must take steps to protect the privacy of participants and ensure the confidentiality of their data. For instance, if collecting user data through online platforms or mobile applications, researchers should clearly communicate how the data will be handled, stored securely, and anonymized or pseudonymized when necessary. Researchers should also obtain necessary permissions if accessing or using datasets or third-party data sources.
Risks and Benefits: Researchers should carefully consider and communicate any potential risks or benefits associated with participation in the study. In computer science research, risks might include breaches of data security, potential harm to participants’ privacy, or adverse effects resulting from the use of experimental technologies. Researchers should proactively mitigate and minimize risks and ensure that the benefits of the research outweigh the potential risks to participants and society.
Ethics Committee Approval: Many institutions require researchers to obtain ethics committee or review board approval before conducting research involving human participants. In computer science research, this typically involves submitting a research proposal detailing the research objectives, methods, ethical considerations, and participant protections. Examples include Institutional Review Boards (IRBs) or Ethics Review Committees. Researchers should mention any approvals obtained and follow the ethical guidelines set forth by their institution or relevant regulatory bodies.

Researchers should also be aware of any specific ethical guidelines or standards in their field of study. For example, in areas like cybersecurity or data privacy, additional considerations such as vulnerability disclosure, data anonymization, or responsible data usage may be relevant.

By addressing ethical considerations in the methodology section, researchers demonstrate their commitment to conducting responsible and ethical research. They show that they have taken appropriate measures to protect participants’ rights, privacy, and well-being. Clear communication and transparency regarding informed consent, privacy, confidentiality, potential risks and benefits, and any approvals obtained contribute to the ethical integrity and credibility of the research.

In any research study, it is important to acknowledge the limitations and delimitations that may have influenced the research process or findings. Researchers should identify the constraints, boundaries, and scope of their study. Here are some examples of limitations and delimitations commonly addressed in research:

Sample Size and Selection: Limitations related to sample size and selection can arise in research. For example, if the study involved user testing of a software system, the sample size might have been limited due to time and resource constraints. Researchers should acknowledge that the findings may not be generalizable to the entire population and discuss the implications of the limited sample size on the validity and generalizability of the results.
Data Collection Methods: Limitations can arise from the data collection methods employed in the study. For instance, if the study relied solely on self-reported data through surveys or interviews, there may be a risk of response bias or recall bias. Researchers should acknowledge such limitations and discuss the potential impact on the reliability and validity of the findings. They could suggest future research directions that employ complementary data collection methods to enhance the robustness of the study.
Time and Resource Constraints: Time and resource constraints can affect the scope and depth of a research study. Researchers may have had limited time to collect data, implement complex algorithms, or conduct extensive experiments. It is important to acknowledge these constraints and discuss how they may have influenced the research outcomes or limited the extent of the study’s analysis. Researchers should be transparent about the trade-offs made due to such limitations.
Technological Constraints: In research, technological constraints can arise due to hardware limitations, software limitations, or the availability of data. For example, a study involving real-time analysis of large-scale data may have been limited by the computational power or storage capacity of the available infrastructure. Researchers should discuss these technological constraints and their potential impact on the study’s results or the generalizability of the findings.
Delimitations: Delimitations define the boundaries or scope of the study. For example, a study may focus on a specific programming language, a particular software framework, or a specific user group. Researchers should clearly define and communicate these delimitations, explaining why they were chosen and discussing how they may affect the applicability of the findings to other contexts or populations.

By acknowledging the limitations and delimitations of the study, researchers demonstrate a thoughtful and reflective approach to their research. They provide transparency and context for the readers, enabling them to interpret the findings appropriately. Furthermore, by discussing the implications of these limitations and delimitations, researchers can suggest potential avenues for future research that can overcome these constraints and expand upon the current study’s limitations.

Ensuring the validity and reliability of the research findings is crucial in research. Validity refers to the extent to which the research measures what it intends to measure, while reliability refers to the consistency and stability of the research results. Here are some examples of steps taken to ensure validity and reliability in computer science research:

Implementing proper control groups and experimental design to establish cause-effect relationships.
Randomizing the assignment of participants to different conditions or treatments to minimize biases.
Conducting pilot studies or pre-tests to refine measurement instruments and identify potential issues.
Considering and addressing threats to internal validity, such as confounding variables or selection bias.
Ensuring the representativeness of the sample or participants to the target population.
Employing diverse data sources or datasets to increase the breadth of the study.
Conducting research in multiple settings or environments to assess the generalizability of the findings.
Transparently reporting the study’s context, methodology, and limitations to facilitate external validity assessments by other researchers.
Employing established and validated measurement instruments or tools.
Conducting pilot studies or test-retest reliability analyses to assess the stability of the measurements over time.
Ensuring inter-rater reliability in cases where multiple researchers are involved in data coding or analysis.
Documenting the procedures and steps taken during data collection, preprocessing, and analysis to enable replication and validation.
Implementing blinding or double-blinding procedures to minimize biases in data collection or analysis.
Using standardized protocols or procedures to ensure consistency across participants or conditions.
Employing objective measures or automated data collection techniques to reduce subjective biases.
Conducting sensitivity analyses or exploring alternative explanations to address potential biases or alternative interpretations of the findings.

By discussing the steps taken to ensure validity and reliability, researchers demonstrate the rigor and credibility of their research. Addressing internal and external validity, as well as measures taken to minimize biases, helps establish the trustworthiness of the research findings. Additionally, providing transparency about the research methodology and limitations enables other researchers to assess and build upon the study’s validity and reliability in future work.

The timeframe and resources utilized in a research study are important considerations that help provide a clear understanding of the project’s scope, duration, and support. Here are some examples of how this can be elaborated upon in the methodology section:

Planning and designing the research: This involves formulating research questions, conducting literature reviews, and developing the research methodology.
Data collection: This includes the time required to collect data through surveys, experiments, interviews, or other methods, as well as any pilot testing or data preprocessing steps.
Data analysis: This phase covers the time needed for data processing, statistical analysis, coding, or machine learning model training and evaluation.
Results interpretation and report writing: This entails analyzing the findings, drawing conclusions, and documenting the research outcomes in the form of a dissertation or research paper.
Revisions and finalization: This stage accounts for any revisions, incorporating feedback, and finalizing the research document.
Funding: Researchers can mention any grants, scholarships, or funding sources that supported the research project. For instance, if the study received funding from a research grant or institution, the details of the funding organization, grant number, and duration can be provided.
Equipment and Software: Researchers can outline any specialized equipment, hardware, or software used in the study. For example, if the research involved running simulations on high-performance computing clusters or using specific software tools or libraries, these details can be mentioned.
Datasets: If the study utilized existing datasets, researchers can specify the sources and describe any preprocessing steps or data cleaning procedures undertaken to ensure data quality and integrity.
Personnel: Researchers can acknowledge the contributions of any collaborators, research assistants, or support staff involved in the study. This can include their roles and responsibilities, as well as any specific expertise they brought to the project.

By providing an overview of the research timeframe and the resources utilized, researchers give readers a sense of the project’s timeline and the support available. This information helps to contextualize the research, understand the feasibility of the study, and evaluate the availability of necessary resources. It also enhances the transparency and reproducibility of the research, allowing other researchers to replicate or build upon the study’s findings.

Data management is a critical aspect, ensuring that data is organized, stored securely, and managed throughout the research process. Here are some examples of how data management can be elaborated upon in the methodology section:

Data Organization: Researchers should explain how data was organized to facilitate efficient analysis and interpretation. This may involve creating a data structure or schema that captures relevant variables, metadata, and relationships between data elements. For example, in a machine learning study, researchers may organize the data into training, validation, and test sets, each with specific features and labels.
Data Storage: Researchers should describe the storage infrastructure used to house the research data. This can include local servers, cloud-based storage platforms (e.g., Amazon S3, Google Cloud Storage), or institutional data repositories. It’s important to mention the capacity and scalability of the storage solution to accommodate the volume and variety of the collected data.
Data Security: Data security measures are crucial to protect the privacy and integrity of research data. Researchers should discuss the protocols implemented to ensure data security throughout the research process. Examples may include encryption of sensitive information, access controls (e.g., user authentication, authorization levels), and network security measures (e.g., firewalls, intrusion detection systems). Compliance with relevant data protection regulations, such as GDPR (General Data Protection Regulation), should also be addressed if applicable.
Backup and Retention: Researchers should outline the procedures and protocols in place for data backup and retention. This includes regular backup schedules to prevent data loss, as well as the storage location and redundancy mechanisms. Researchers may also discuss data retention policies, specifying the duration for which the data will be retained after the completion of the research project, and any anonymization or pseudonymization processes applied to protect participant identities.
Data Sharing and Access: Researchers should indicate whether the research data will be shared with other researchers or made publicly available. If data sharing is planned, details such as the repository or platform where the data will be deposited and any associated access restrictions or licenses should be provided. Researchers should also address any ethical or legal considerations related to data sharing, such as obtaining informed consent from participants for data sharing purposes.

By explaining the data management procedures, researchers demonstrate their commitment to maintaining data integrity, privacy, and security. Transparently documenting data organization, storage, security, backup, and retention protocols enhances the reproducibility and credibility of the research. It also ensures compliance with ethical guidelines and data protection regulations, while facilitating data sharing and future collaborations.

The methodology section of a dissertation plays a crucial role in providing a clear and comprehensive understanding of how the research was conducted. It serves as a roadmap that outlines the methods, procedures, and techniques employed to address the research questions or objectives.

Upcoming Events

Visit the Upcoming International Conferences at Exotic Travel Destinations with Travel Plan
Visit for Research Internships Worldwide

RES 6600: Research in Education: Methods Section

Methods Section
APA This link opens in a new window

Using Library Resources for Research: Methods Section

Start by familiarizing yourself with the "method" sections found in other pieces of research similar to your topic of choice. two library databases are worth reviewing, both found on the library homepage., 1. the "find articles" box directs you to ebscohost databases*, 2. the "find dissertations" box directs you to proquest databases, you will then want to search using your " topic " and " the type of research method " you are proposing i.e. qualitative, quantitative, mixed methods, action research. e.g. teacher burnout and qualitative.

*Scroll to the bottom of this guide for a demonstration on using the features of EBSCOhost or reach out to the library for help.

Video Tutorial Demonstrating How to Find Method Section examples

Alternate Link if above one doesn't work

or Scroll below to see Video

Method Section Writing: "What, How, Which, & Why"

Chapter 10: Writing a Research Proposal From textbook, Introduction to Educational Design by Craig Mertler
Method Sections for Empirical Research Papers From James Madison University Library, this article provides a typical structure with guiding questions for completing a Methods section in a research paper.

Organizing your Social Sciences Research Paper/ The Methodology from University of Southern California Library

How to Write a Methods Section for a Research Pape r by A Research Guide

How to Write a Methods Section for a Psychology Paper: Tips and Examples of an APA Methods Section by verywellMind

How to Write the Methods Section of a Research Paper by Researcher.Life

APA Professional Sample Papers

Apa sample professional paper and microsoft word templates by research paper type.

Professional sample paper with annotations (features examples of APA conventions in an actual paper)
Qualitative professional paper template
Quantitative professional paper template
Mixed methods professional paper template

Source: APA Style Sample Papers

Dr. Craig Mertler Books & Action Research Interview

Craig Mertler websit e

Databases & Navigation

Locating peer-reviewed content in EBSCO
Boolean Searching
Truncated Terms
Requesting an Article
Citation Location

CUC Research Databases

In the Collegial Cloud , doctoral students, candidates will find all the information and resources needed to complete their dissertation requirements.

EBSCO (for journals and articles)
CUC Dissertations only
Open Access Theses & Dissertations
Go to the library's website
Click Find Articles ; use your Concordia Connect login to access (the website has been updated!)
Select your databases, depending on your topic
Put in your key terms
Select the "Scholarly (peer reviewed) Journals" and "Full Text" boxes, then click the big, green search box on top

Tip: Experiment with your keywords and don't type out a sentence (it's not Google)

Remember: You can request articles that are not full text!

What is peer-review?

The peer-review process subjects an author's scholarly work, research, or ideas to the scrutiny of others who are experts in the same field (peers) and is considered necessary to ensure academic scientific quality. Articles, journals, reports, books, and other content can be considered peer review. Prior to publication, a material is submitted and must be reviewed by at least one expert in the field. The reviewer evaluates the research presented in the material. The scholarly work that passes the peer-review process is then published; the scholarly work that does not pass the peer review process will not be published as peer-reviewed.

How do you I know if a journal is peer-reviewed ?

1. If you have a paper version of the journal you can look on the inside front cover to see if there is information regarding peer-review.

2. Many times an editorial board will be listed on the inside front cover

3. If you are using a database and only have an electronic version of an article-you can still verify if the journal is peer-reviewed.

Do a search for the journal and go to the homepage. Go to the about us section (or something similar) and you should find information about whether or not the journal is peer-reviewed.
You can also view this tutorial where a Concordia librarian shows you how to narrow down your database search for only peer-reviewed content.

4. Many of the CUC resources held in EBSCO are peer-reviewed and accessible to all CUC members.

What is a peer-reviewed journal?

Databases are not Google!

Keywords only.

Boolean searching is built on a method of symbolic logic developed by George Boole, a 19th century English mathematician. Boolean searches allow you to combine words and phrases using the words AND, OR, NOT (known as Boolean operators) to limit, broaden, or define your search.

For example, if you type in “Hampton Road Peace Conference” , you receive few results. But if you type in "Hampton Roads" AND "conference" This allows your search results to only those documents containing the two keywords, instead of a whole phrase.

Look at the video below:

LinkedIn Boolean Search Tips

In EBSCO, a word in a search bar can be truncated (shortened) by using the asterisk (shift + 8 = *)

giving you far more search results!

For example:

If you open EBSCO and look only for articles using the word " Mexican ", you will receive 151,859 results.

If you open EBSCO and look for only articles using the word " Mexic* ", you will receive 504,353 results.

Requesting articles from the library is free!

Navigate CUC databases at anytime! If there are articles you would like but are not available in EBSCO , click on "Request this Item". Fill out the form and the library team will send the request to you via email as soon as possible. Please allow 4 days of processing time.

If you cannot locate the article record in EBSCO and still want to request the article, fill out the Interlibrary Loan Request form .

EBSCO & ProQuest provide citations too!

Did you know that you can locate the citation needed for the reference page in EBSCO and ProQuest?

Click here for more APA assistance.

View the videos below to find where:

Library Materials

Check List for Methods Section

1. Read your assignment rubric:

Understand what you are being asked to provide to fulfill your assignment and respond to each section that will make up your grade.
Include your research question & hypothesis on a separate page

2. Research Design Type:

Describe the overall research design
Justify why this design was chosen and how it aligns with the research objectives

3. Sampling Plan & Sample Description (Participants):

Provide details about the participants or subjects involved in the study
Mention relevant demographic information and discuss any inclusion/exclusion criteria used

4. Data Collection Tools/Instruments:

Include materials or instruments used (e.g. surveys, questionnaires, equipment)

5. Procedures:

Detail the steps to collect data or conduct research
Provide chronological description of the research process

6. Reliability and validity:

Explain the reliability and validity of measurement instruments used
Describe the procedures employed to ensure consistency and stability in measurements
Describe how the research design and methodology support the validity of the study

6. Ethical Considerations

Discuss any ethical issues related to the research and how they were addressed
Include information about informed consent, confidentiality, and participant anonymity
Provide details about institutional review board (IRB) if appropriate

7. APA Format:

The APA citation style requires including the participants, materials, and procedures as an obligatory part. Remember to state demographic characteristics when working on the participants’ aspect. The main heading of the methods section should be written in bold and capitalized. Centering must be used. As for the methodology in research paper subheadings, they should be aligned to the left and done in bold.

Reference Librarian

Recorded Video Instruction

Next: APA >>
Last Updated: Apr 7, 2024 2:52 PM
URL: https://libguides.cuchicago.edu/RES_6600

Klinck Memorial Library

Concordia University Chicago 7400 Augusta Street River Forest, Illinois 60305 (708) 209-3050 [email protected] Campus Maps and Directions

Staff Directory
Getting Started
Databases A-Z
Library Catalog
Interlibrary Loan

KFF Survey of Medicaid Unwinding

Lunna Lopes , Grace Sparks , Marley Presiado , Jennifer Tolbert , Robin Rudowitz , Amaya Diana , and Ashley Kirzinger Published: Apr 12, 2024

Methodology

This KFF Survey of 2023 Medicaid Re-enrollment was designed and analyzed by public opinion researchers at KFF. The survey was conducted February 15 – March 11, 2024, online and by telephone, among a nationally representative sample of 1,227 U.S. adults in English (1,167) and in Spanish (60) who had Medicaid coverage at some point between January 1 and March 31, 2023.

The sample includes 909 adults reached through the SSRS Opinion Panel either online (n=887) or over the phone (n=22). The SSRS Opinion Panel is a nationally representative probability-based panel where panel members are recruited randomly in one of two ways: (a) Through invitations mailed to respondents randomly sampled from an Address-Based Sample (ABS) provided by Marketing Systems Groups (MSG) through the U.S. Postal Service’s Computerized Delivery Sequence (CDS); (b) from a dual-frame random digit dial (RDD) sample provided by MSG. Invitations were sent to panel members who self-identified as having Medicaid in 2023 as either part of the 2023 KFF Health Insurance Consumer Survey or another SSRS Opinion Panel survey.

The sample also includes 117 telephone interviews from callbacks to phone respondents from the 2023 KFF Health Insurance Consumer Survey as well as other KFF Health Tracking Polls conducted by SSRS during which respondents self-identified as having Medicaid coverage. The KFF Health Tracking Polls include a random digit dial telephone sample of prepaid cell phone numbers obtained through MSG. Phone numbers used for the prepaid cell phone component are randomly generated from a cell phone sampling frame with disproportionate stratification aimed at reaching Hispanic and non-Hispanic Black respondents.

Another 217 respondents were reached through the Ipsos Knowledge Panel, an online probability based panel. Knowledge Panel is a nationally representative probability-based panel where members are recruited through invitations mailed to respondents randomly sampled from an Address-Based Sample. Invitations were sent to panel members who self-identified as having Medicaid in 2023.

Respondents in the phone samples received a $10 incentive via a check received by mail, and web respondents received a $10 electronic gift card incentive. Ipsos respondents were incentivized using the IPSOS incentive program that rewards respondents for participating with baseline points that can be used towards special raffles and sweepstakes with both cash rewards and other prizes to be won. The average baseline points redeemed for this study was 1000 points which is the cash equivalent value of $1.00.

The online questionnaire included two questions designed to establish that respondents were paying attention. Cases that failed both attention checks questions, those with over 30% item non-response, and cases with a length less than one quarter of the mean length, by mode, were flagged and reviewed. Cases were removed from the data if they failed two or more of these quality checks. Based on this criterion, one case was removed.

The combined phone and panel samples were weighted to match the sample’s demographics to the national U.S. adult population using data from the Census Bureau’s March 2023 Current Population Survey Annual Social and Economic Supplement (CPS-ASEC). Weighting parameters included sex , age, education, race/ethnicity, census region, homeownership and household size. The sample was also weighted to match patterns of civic engagement, county population density, and voter registration from parameters derived from the SSRS Opinion Panel. The weights take into account differences in the probability of selection for each sample type. This includes a non-response propensity adjustment for the recontact sample frame.

The margin of sampling error including the design effect for the full sample is plus or minus 4 percentage points. Numbers of respondents and margins of sampling error for key subgroups are shown in the table below. For results based on other subgroups, the margin of sampling error may be higher. Sample sizes and margins of sampling error for other subgroups are available by request. Sampling error is only one of many potential sources of error and there may be other unmeasured error in this or any other public opinion poll. KFF public opinion and survey research is a charter member of the Transparency Initiative of the American Association for Public Opinion Research .

Medicaid's Future
Access to Care
TOPLINE & METHODOLOGY

Also of Interest

Medicaid Enrollment and Unwinding Tracker
10 Things to Know About the Unwinding of the Medicaid Continuous Enrollment Provision
Status of State Medicaid Expansion Decisions: Interactive Map

What is the debt snowball method?

Benefits of using the debt snowball, debt snowball pros and cons, what is the debt avalanche method.

Benefits of using the debt avalanche

Debt avalanche pros and cons

Comparing snowball and avalanche, choosing the right strategy, debt snowball vs. debt avalanche faqs, debt snowball vs. debt avalanche: which strategy is right for you.

Paid non-client promotion: Affiliate links for the products on this page are from partners that compensate us (see our advertiser disclosure with our list of partners for more details). However, our opinions are our own. See how we rate investing products to write unbiased product reviews.

The snowball and avalanche methods are two popular strategies for paying down debt.
The snowball method tackles your lowest balances first, offering small, more immediate wins.
The avalanche method prioritizes higher-interest debts, reducing your long-term costs most.

Paying down multiple debts can be challenging. Having a strategy — and sticking to it — is key to making it happen.

Two common approaches you might consider are the snowball method and the avalanche method. Each offers a framework for effectively and efficiently addressing multiple debts. But the types of debt they prioritize differ. Here is what you need to know about them and how to decide which is best for your financial situation.

Definition and process

The debt snowball method prioritizes your lowest-balance debt. You'll make minimum payments on all your debts and direct any extra funds to that smallest debt first. Once that is paid off, you then focus on the next-smallest debt (using the funds you freed up from paying off the previous balance) and repeat the cycle until all debts are paid off. This is said to mimic a snowball, which gets larger and gains momentum as it rolls down a hill.

There are some very particular benefits to using the debt snowball method, which several experts have emphasized below.

"The snowball method can be implemented by listing your various debts in order from the lowest total balance to the highest balance and targeting paying off one debt in-full at a time in that order," says Lauren Anastasio, a CFP professional and director of financial advice at Stash . "By making the minimum payment on all of your other debts and putting all your extra cash toward the smallest balance obligation first, you'll pay off entire loans or cards faster, reducing the total number of bills you have to pay each month."

Though this is typically more expensive than the avalanche approach — which tackles higher-interest debt first — the snowball method offers a potential "behavioral" incentive, according to David W. Barnett, owner of Grand Arbor Advisors .

"Personal finance involves both mathematics and behavior," Barnett says. "The snowball method, while perhaps not as mathematically effective, can have significant behavioral value in that there is a strong sense of reward to paying a debt in full and reducing the number of outstanding debts."

Generally, the snowball method is best if you want to reduce the number of debt payments you make each month or need a little extra motivation to pay down your debts.

"The debt snowball method is a great option for people for whom debt is a behavior problem," says Bobbi Rebell, CFP® professional and personal finance expert at Tally , which provides a financial app that helps you organize and pay off your credit cards. "If you need those quick wins to motivate you to make progress, the debt snowball is the way to go. It will not save you on cost since you're not paying on the highest interest rate first, but it can help prompt behavior changes to keep you consistent and maintain momentum."

Potential drawbacks

By using the snowball method, you could end up paying more over time, since this approach prioritizes tackling debt with the lowest balances instead of the higher interest rates.

More specifically, harnessing this approach could cause the user to pay more in total interest than they would if they opted for a different method.

With the avalanche method, you prioritize your debts based on their interest rate, focusing your extra funds on the highest-interest debt first. When that debt is paid off, you move down the ladder to the debt with the next-highest rate, and so on.

"You make minimum payments on everything, and throw as much as you can toward the debt with the highest interest rate," Rebell says. "Once you've paid off the debt with the highest interest rate, roll that payment toward the next debt with the highest interest rate. Repeat until you've paid off all your debt. Like an avalanche, there's no stopping it once momentum starts."

Benefits of using the debt avalanche

The major draw of using the debt avalanche strategy is reducing your overall interest costs.

"From a purely mathematical view, the avalanche method will always result in the most debt reduction per dollar, since the most expensive debt will be eliminated first," Barnett says. "The intention with this method is to eliminate your highest-interest-rate debts first in order to save money."

Potential drawbacks

This approach is best if you're looking to save as much money as possible, but it does have some drawbacks. For one, it can be frustrating not to realize results quickly. It also means you will need to continue juggling several debts for longer.

"This method works best for people who have a lot of debt or high-interest rates on their debt," says Thomas Racca, manager on the personal finance management team at Navy Federal Credit Union. "This method can be frustrating because it may take longer to reduce the different avenues of debt you have, but it will pay off the debt fastest by prioritizing the higher debt amounts first."

Key differences between the two methods

There are a handful of significant differences between the snowball method and the avalanche method. While the former involves prioritizing debts with the lowest balances, the latter involves prioritizing debts with the highest interest rates.

While the first one can help users build momentum, providing a psychological benefit, the second helps them reduce total interest costs.

If you're having trouble paying down your debts, both the snowball and the avalanche strategy can help. The key is to pick a debt and prioritize it, according to Anastasio.

Factors to consider when choosing a method

As mentioned earlier, the difference between using the snowball method and the avalanche method is a matter of what kind of debt you want to prioritize. If you have smaller debts and want to notch some quicker wins, you may want to use the snowball method.

However, if you want to have the lowest total costs by paying off high-interest-debt first, pick the avalanche method.

Either way, prioritization is crucial.

"The last thing you want to do is spread your effort around by paying a little extra on all of your bills," Anastasio says. "If you have multiple credit card balances, loans, or other debts you want to pay off, choose one debt, commit to paying the minimum on all your others, and put every extra dollar you have to paying off that one debt in full. This is the quickest way to eliminate the number of bills you have to pay."

Real-life applications

Examples of each method in action .

The first approach we will illustrate using a specific example is the snowball method.

Say you have a personal loan with a balance of $4,500, a credit card balance of $8,000, and a car loan for $20,000. With the snowball method, you'd make the minimum payments on your credit card and car loan while putting any extra funds you have toward your personal loan.

Once you pay off the personal loan, you'd start focusing on your credit card and then, finally, your car loan.

Note: A study from Texas A&M University shows that creating "small victories," as the snowball method does, can be highly motivating.

The next example will examine the impact of using the avalanche method. This is how this approach would work if you had three debts: $3,000 on a credit card at a 15% interest rate, $8,000 on a personal loan at a 9% rate, and $25,000 on a car loan at a 6% rate.

In this scenario, you'd put all extra discretionary funds toward the credit card while only making minimum payments on the personal and car loans. Once you pay off the credit card, you would focus on paying down the personal loan (which has the second-highest interest rate) and then the car loan.

Consider your personal goals. If you have some low-balance debts and would like to pay them off quickly, pick the debt snowball method. However, if you would like to reduce your total interest paid, opt for the debt avalanche method.

You can absolutely switch strategies if the first one you pick isn't working for you. This is a completely personal decision that is based on your particular preferences.

These strategies will work for most types of debt, including personal, car and mortgage debt. However, be sure to read the fine print of any lending agreement, as there could be penalties for early repayment.

The major benefit of using the debt snowball method is a psychological one, as paying off smaller debts can help an individual to build up momentum and retain a positive mindset.

The main benefit of the debt avalanche method is that it can reduce the total amount you pay toward interest by eliminating high-interest debts first.

Main content

Curic section - Copy material settings to another SU file with a duplicate model?

I’ve been making some progress using Curic Section, but likely started delving into it too late in my current project - I had already set up my base model, and then inserting that model into new SU files to produce the plan, sections, axos, etc. in separate files (as per the well established methodology).

I am using Curic Section, initially, just to clearly illustrate what is existing vs. new/demolitions - it has been really useful for that (but still not as useful as if Trimble allowed a section cut to use the material applied to all the objects in each Tag - sadly still missing with 2024!).

In my Plans SketchUp file I have set up all the materials (as just flat colours and line widths) for the individual section cut fills (in plans, reflected plans, sections, cutaway axos), and now I’d like to replicate those settings across the various SU files I am using for the set of drawings (going to Layout). As the Tags are replicated in each file, I had imagined it would be relatively easy to do - just export the Curic Section mapping from one file to the next… but I just don’t see anywhere in Curic Section that allows for this.

Does anyone have a solution?

Hi, you can use 5D+ Auto Tag, a free plugin of mine, this plugin support you export all tags (included tags created by Curic Section) with their attributes: texture of tags, line width… to a SketchUp file. Then use the plugin to import that file into another file. It will brings all tags with attributes and override tags have the same name.

IMAGES

Methodology Sample In Research
The Methodology Section
Methodology Sample In Research
How to Write a Method Section
⛔ How to write a methodology section example. How to Write Research
⛔ How to write a methodology section example. How to Write Research

VIDEO

Teaching methodology -Section A
Information About The Teaching Methodology in Middle Section By Middle Section Coordinator
What to avoid in writing the methodology section of your research
Research Methodology:- Lecture:-1| PG Design & CADME
01.How to choose your Research Methodology
HOW TO WRITE RESEARCH METHODOLOGY IN PROJECT REPORT ( RESEARCH METHODOLOGY)

COMMENTS

What Is a Research Methodology?
The methodology section should clearly show why your methods suit your objectives and convince the reader that you chose the best possible approach to answering your problem statement and research questions. 2. Cite relevant sources. Your methodology can be strengthened by referencing existing research in your field. This can help you to:
How to Write an APA Methods Section
The main heading of "Methods" should be centered, boldfaced, and capitalized. Subheadings within this section are left-aligned, boldfaced, and in title case. You can also add lower level headings within these subsections, as long as they follow APA heading styles. To structure your methods section, you can use the subheadings of ...
6. The Methodology
The methods section describes actions taken to investigate a research problem and the rationale for the application of specific procedures or techniques used to identify, select, process, and analyze information applied to understanding the problem, thereby, allowing the reader to critically evaluate a study's overall validity and reliability.
How To Write The Methodology Chapter
A guide to writing the methodology chapter of your dissertation, thesis or research paper. Learn the purpose, structure and components of this chapter, and how to outline your research philosophy, research type, methodological choices and limitations. See examples and tips for each component.
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 ...
PDF How to Write the Methods Section of a Research Paper
The methods section should describe what was done to answer the research question, describe how it was done, justify the experimental design, and explain how the results were analyzed. Scientific writing is direct and orderly. Therefore, the methods section structure should: describe the materials used in the study, explain how the materials ...
Dissertation Methodology
In any research, the methodology chapter is one of the key components of your dissertation. It provides a detailed description of the methods you used to conduct your research and helps readers understand how you obtained your data and how you plan to analyze it. This section is crucial for replicating the study and validating its results.
How to Write a Methods Section of an APA Paper
To write your methods section in APA format, describe your participants, materials, study design, and procedures. Keep this section succinct, and always write in the past tense. The main heading of this section should be labeled "Method" and it should be centered, bolded, and capitalized. Each subheading within this section should be bolded ...
How to Write Your Methods
A guide for researchers on how to write methods sections that are clear, reproducible and transparent. Learn what to include, how much detail to provide, and how to follow ethical and reporting standards for different fields and experiments. Find tips and resources for visual aids, checklists and tools to help you report your methods.
Your Step-by-Step Guide to Writing a Good Research Methodology
The methodology section of a research paper outlines how you plan to conduct your study. It covers various steps such as collecting data, statistical analysis, observing participants, and other procedures involved in the research process. The methods section should give a description of the process that will convert your idea into a study.
How to write the Methods section of a research paper
The Methods section of a research article is like a roadmap leading to the core of the research, guiding the readers through the actual journey the authors took to reach their destination. In the manuscript, this section contains the essential details for other scientists to replicate the experiments of the study and help the common readers to understand the study better.
Research Methods
In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section. In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research ...
PDF Methodology Section for Research Papers
The methodology section of your paper describes how your research was conducted. This information allows readers to check whether your approach is accurate and dependable. A good methodology can help increase the reader's trust in your findings. First, we will define and differentiate quantitative and qualitative research.
What Is Research Methodology? Definition + Examples
As we mentioned, research methodology refers to the collection of practical decisions regarding what data you'll collect, from who, how you'll collect it and how you'll analyse it. Research design, on the other hand, is more about the overall strategy you'll adopt in your study. For example, whether you'll use an experimental design ...
How to Write a Research Methodology in 4 Steps
Learn how to write a strong methodology chapter that allows readers to evaluate the reliability and validity of the research. A good methodology chapter incl...
How to Write Research Methodology in 2024: Overview, Tips, and
Methodology in research is defined as the systematic method to resolve a research problem through data gathering using various techniques, providing an interpretation of data gathered and drawing conclusions about the research data. Essentially, a research methodology is the blueprint of a research or study (Murthy & Bhojanna, 2009, p. 32).
Writing the Research Methodology Section of Your Thesis
A thesis research methodology explains the type of research performed, justifies the methods that you chose by linking back to the literature review, and describes the data collection and analysis procedures.It is included in your thesis after the Introduction section.Most importantly, this is the section where the readers of your study evaluate its validity and reliability.
What is Research Methodology? Definition, Types, and Examples
The research methodology section in a scientific paper describes the different methodological choices made, such as the data collection and analysis methods, and why these choices were selected. The reasons should explain why the methods chosen are the most appropriate to answer the research question. A good research methodology also helps ...
How to Write Research Methodology: 13 Steps (with Pictures)
The research methodology section of any academic research paper gives you the opportunity to convince your readers that your research is useful and will contribute to your field of study. An effective research methodology is grounded in your overall approach - whether qualitative or quantitative - and adequately describes the methods you used.
How to Write the Methodology Section of a Dissertation?
The methodology section is a crucial component of a PhD or Post Graduate dissertation. It plays a fundamental role in demonstrating the rigor and validity of the research conducted. The methodology section outlines the methods used to conduct the research and provides a clear roadmap for the reader to understand how the study was executed. The ...
LibGuides: RES 6600: Research in Education: Methods Section
Method Section Writing: "What, How, Which, & Why". From James Madison University Library, this article provides a typical structure with guiding questions for completing a Methods section in a research paper. Organizing your Social Sciences Research Paper/ The Methodology from University of Southern California Library.
Methodology in a Research Paper: Definition and Example
The methodology section of your research paper allows readers to evaluate the overall validity and reliability of your study and gives important insight into two key elements of your research: your data collection and analysis processes and your rationale for conducting your research. When writing a methodology for a research paper, it's ...
How To Write a Methodology (With Tips and FAQs)
Here are the steps to follow when writing a methodology: 1. Restate your thesis or research problem. The first part of your methodology is a restatement of the problem your research investigates. This allows your reader to follow your methodology step by step, from beginning to end. Restating your thesis also provides you an opportunity to ...
KFF Survey of Medicaid Unwinding
This KFF Survey of 2023 Medicaid Re-enrollment was designed and analyzed by public opinion researchers at KFF. The survey was conducted February 15 - March 11, 2024, online and by telephone ...
Comparing Debt Snowball and Debt Avalanche Methods
The snowball and avalanche methods are two popular strategies for paying down debt. The snowball method tackles your lowest balances first, offering small, more immediate wins.
Curic section
I've been making some progress using Curic Section, but likely started delving into it too late in my current project - I had already set up my base model, and then inserting that model into new SU files to produce the plan, sections, axos, etc. in separate files (as per the well established methodology). I am using Curic Section, initially, just to clearly illustrate what is existing vs ...

Organizing Your Social Sciences Research Paper

Importance of a Good Methodology Section

Structure and Writing Style

Writing Tip

Another Writing Tip

Yet Another Writing Tip

Dissertation Methodology – Structure, Example and Writing Guide

Dissertation Methodology

Types of Dissertation Methodology

Structure of Dissertation Methodology

How to Write Dissertation Methodology

Example of Dissertation Methodology

Where to Write Dissertation Methodology

Advantages of Dissertation Methodology

About the author

Muhammad Hassan

You may also like

Delimitations in Research – Types, Examples and...

Research Design – Types, Methods and Examples

What is a Hypothesis – Types, Examples and...

Dissertation – Format, Example and Template

Dissertation vs Thesis – Key Differences

Ethical Considerations – Types, Examples and...

How to Write a Methods Section for a Psychology Paper

What to Include in a Method Section

Components of a Method Section

Participants

Tips for How to Write a Methods Section

A Word From Verywell

Frequently Asked Questions

Ensure understanding, reproducibility and replicability

Why Methods Matter

A clear methods section impacts editorial evaluation and readers’ understanding, and is also the backbone of transparency and replicability.

What to include in your methods section

A constant principle of rigorous science

Imagine replicating your own work, years in the future

Visual aids for methods help when reading the whole paper

Ethical Considerations

Existing standards, checklists, guidelines, partners

Summary Writing tips

Don’t

Here's What You Need to Understand About Research Methodology

Table of Contents

What is the definition of a research methodology?

The need for a good research methodology

What is the basic structure of a research methodology?

1. Your research procedure

2. Provide the rationality behind your chosen approach

3. Explain your mechanism

4. Significance of outcomes

5. Reader’s advice

6. Explain your sample space

7. Challenges and limitations

The importance of a good research methodology

Instruments you could use while writing a good research methodology

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

c. Sample Groups

d. Observations

Types of research methodology

1. Qualitative research methodology

2. Quantitative research methodology

3. Amalgam methodology

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

Frequently Asked Questions (FAQs) about Research Methodology

2. What are the types of research methodology?

3. What is the true meaning of research methodology?

4. Where lies the importance of research methodology?

You might also like

Consensus GPT vs. SciSpace GPT: Choose the Best GPT for Research

Literature Review and Theoretical Framework: Understanding the Differences

Using AI for research: A beginner’s guide

Have a language expert improve your writing

Research Methods | Definitions, Types, Examples

Table of contents

Qualitative vs. quantitative data

Primary vs. secondary research

Descriptive vs. experimental data

Receive feedback on language, structure, and formatting

Qualitative analysis methods

Quantitative analysis methods