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Dissertation Methodology – Structure, Example and Writing Guide

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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.

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What Is a Dissertation Methodology?

How to choose your methodology, final thoughts, how to write your dissertation methodology.

Updated September 30, 2021

Due to the complexities of the different research methods, writing your dissertation methodology can often be the most challenging and time-consuming part of your postgraduate dissertation .

This article focuses on the importance of writing a good PhD or master's dissertation methodology – and how to achieve this.

A postgraduate dissertation (or thesis) is usually formed of several detailed sections, including:

Abstract – A summary of your research topic.

Introduction – Provides background information on your topic, putting it into context. You will also confirm the main focus of your study, explain why it will add value to your area of interest and specify your key objectives.

Literature Review – A critical review of literature that relates to your chosen research topic. You will also need to identify which gap in the literature your study aims to address.

Methodology – Focuses on the research methods used within your research.

Results – Used to report on your main findings and how these relate to your research question.

Conclusion – Used to confirm the answer to your main research question, reflect on the research process and offer recommendations on future research.

The dissertation methodology forms the skeleton of any research project. It provides the reader with a clear outline of the methods you decided to use when carrying out your research.

By studying your dissertation methodology, the reader will be able to assess your research in terms of its validity and reliability.

In line with the outline given above, the methodology chapter usually appears after the literature review . Your methodology should be closely linked to the research that you conducted as part of this review, as well as the questions you aim to answer through your research and analysis.

Taking the time to find out about the different types of research available to you will allow you to identify any potential drawbacks to the method you have chosen to use. You should then be able to make allowances or adjustments to address these when it comes to carrying out your research.

Choosing your methodology will largely depend on the discipline of the qualification you are studying for and the question your dissertation will seek to answer. In most cases, you will use quantitative or qualitative research methods, although some projects will benefit from using a combination of both.

Quantitative research methods are used to gather numerical information. This research method is particularly useful if you are seeking to count, categorise, measure or identify patterns in data. To collect quantitative data, you might choose to conduct experiments, tests or surveys.

Qualitative research methods are used to gather non-statistical data. Instead of using numbers to create charts or graphs, you will need to categorise the information according to identifiers. This research method is most useful if you are seeking to develop a hypothesis. To collect qualitative data, you might choose to conduct focus groups, interviews or observations.

What to Include in Your Dissertation Methodology

Below is a dissertation methodology example to show you what information to include:

You will need to reiterate your research topic or question and give an overview of how you plan to investigate this. If there were any ethical or philosophical considerations to be made, give details.

For example, you may have sought informed consent from the people taking part in interviews or surveys.

Outline of the Methods Chosen

Confirm whether you have chosen to use quantitative research, qualitative research or a combination of both.

When choosing between qualitative and quantitative research methods, you will need to carry out initial literature and textbook research to establish the standard research methods that are normally used within your chosen area of research.

If you are not sure where to start, you could visit the library at your college or university and ask one of the librarians to help you to identify the most relevant texts.

Explanation of the Methods Chosen

Explain your rationale for selecting your chosen research methods. You should also give an overview of why these were more appropriate than using another research method.

Think about where and when the research took place and who was involved. For example, this might include information on the venue used for interviews or focus groups, dates and timescales, and whether participants were part of a particular demographic group.

Here are some examples of the type of information you may wish to include:

Qualitative Research Methods

Personal observations – Where and when did you conduct the observations? Who did you observe? Were they part of a particular community or group? How long did each observation take? How did you record your findings – did you collect audio recordings, video footage or written observations?

Focus groups – Where and when did the focus group take place? Who was involved? How were they selected? How many people took part? Were the questions asked structured, unstructured or semi-structured? Remember to include a copy of the questions that were used as an appendix.

Interviews – Where and when did the interviews take place? Who took part? How did you select the participants? What type of questions did you ask? How did you record your findings? Remember to include a copy of the questions that were used as an appendix.

The researcher’s objective was to find out customer perceptions on improving the product range currently offered by Company Y. Semi-structured interviews were held with 15 returning customers from the key target demographic for Company Y (18- to 35-year-olds). For research purposes, a returning customer was defined as somebody who purchased products from Company Y at least two times per week during the past three months. The interviews were held in an office in the staff area of the retail premises. Each interview lasted approximately 25 minutes. Responses were recorded through note-taking as none of the respondents wished to give their consent to be filmed.

Quantitative Research Methods

Existing information or data – What were the sources of the material used? How did you select material? Did you only use data published within a particular time frame?

Experiments – What tools or equipment did you use? What techniques were required? Note that when conducting experiments, it is particularly important to provide enough information to allow another researcher to conduct the experiment and obtain the same results.

Surveys – Were respondents asked to answer multiple-choice questions or complete free-text fields? How many questions were used? How long were people given to answer all of the questions? What were the demographics of the participants? Remember to include a copy of the survey in the appendices.

The survey was made up of 10 multiple-choice questions and 5 questions to be rated using a 5-point Lickert scale. The objective was to have 250 customers of Company Z complete the survey at the Company Z HQ between 1st and 5th February 2019, between the hours of 12 p.m. and 5 p.m. For research purposes, a customer was defined as any person who had purchased a product from Company Z during 2018. Customers completing the survey were allowed a maximum of 10 minutes to answer all of the questions. 200 customers responded, however not all of the surveys were completed in full, so only 150 survey results were able to be used in the data analysis.

How Was the Data Analysed?

If you have chosen to use quantitative research methods, you will need to prepare the data before analysing it – for example, you will need to check for variables, missing data and outliers. If you have used computer software to aid with analysis, information on this should also be included.

For qualitative data, you will need to categorise and code the ideas and themes that are identified from the raw data. You may also need to use techniques such as narrative analysis or discourse analysis to interpret the meaning behind responses given.

What Materials and Equipment Were Used During the Research?

This could include anything from laboratory equipment used in a scientific experiment to computer software used to analyse the results.

Were There Any Hurdles or Difficulties Faced During the Research?

If so, what were they and how did you manage to overcome them? This could be anything from difficulties in finding participants, problems obtaining consent or a shortage of the required resources needed to conduct a scientific experiment.

This paragraph should be used to evaluate the research you have conducted and justify your reasons for choosing this approach.

You do not need to go into great detail, as you will present and discuss your results in-depth within your dissertation’s ‘Results’ section.

You will need to briefly explain whether your results were conclusive, whether there were any variables and whether your choice of methodology was effective in practice.

Tips for Writing Your Dissertation Methodology

The objective for the methodology is not only to describe the methods that you used for your research. You will also need to demonstrate why you chose to use them and how you applied them.

The key point is to show that your research was conducted meticulously.

Try to keep your writing style concise and clear; this will ensure that it is easy for the reader to understand and digest.

Here are five top tips to consider when writing your dissertation methodology:

1. Look at Other Methodology Sections

Ask your supervisor to provide you with a few different examples of previously written dissertations. Reading through methodologies that have been written by past students will give you a good idea of what your finished methodology section should look like.

2. Plan Your Structure

Whichever research methods you have chosen to use, your dissertation methodology should be a clearly structured, well written section that gives a strong and justified argument for your chosen research methods.

You may wish to use headings such as:

• Research methods
• Explanation of research methods chosen
• Data analysis and references

Once you have drafted an outline, ask your supervisor for advice on whether there is anything you have missed and whether your structure looks logical.

3. Consider Your Audience

When writing your methodology, have regard for the people who are likely to be reading it. For example, if you have chosen to use research methods that are commonly chosen within your area of research or discipline, there is no need to give a great deal of justification or background information.

If you decide to use a less popular approach, it is advisable to give much more detailed information on how and why you chose to use this method.

4. Remain Focused on Your Aims and Research Questions

Your dissertation methodology should give a clear indication as to why the research methods you have chosen are suitable for the aims of your research.

When writing your dissertation methodology, ensure that you link your research choices back to the overall aims and objectives of your dissertation. To help you to remain focused, it can be helpful to include a clear definition of the question you are aiming to answer at the start of your methodology section.

5. Refer to Any Obstacles or Difficulties That You Dealt With

If you faced any problems during the data collection or analysis phases, use the methodology section to talk about what you did to address these issues and minimise the impact.

Whether you are completing a PhD or master's degree, writing your thesis or dissertation methodology is often considered to be the most difficult and time-consuming part of completing your major research project.

The key to success when writing a methodology section is to have a clear structure. Remember, the purpose of the methodology section of your research project is to ensure that the reader has a full understanding of the methods you have chosen.

You should use your methodology section to provide clear justification as to why you have chosen a particular research method instead of other potential methods. Avoid referring to your personal opinions, thoughts or interests within your methodology; keep the information that you include factual and ensure that everything is backed up by appropriate academic references.

You might also be interested in these other Wikijob articles:

Or explore the Postgraduate / PHD sections.

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• What Is a Research Methodology? | Steps & Tips

What Is a Research Methodology? | Steps & Tips

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

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

It should include:

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

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Table of contents

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

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

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

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

Option 1: Start with your “what”

What research problem or question did you investigate?

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

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

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

Option 2: Start with your “why”

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

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

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

Quantitative methods

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

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

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

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

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

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

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

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

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

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

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

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

Qualitative methods

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

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

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

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

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

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

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

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

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

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

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

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

Mixed methods

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

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

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

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

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

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

Specific methods might include:

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

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

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

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

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

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

1. Focus on your objectives and research questions

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

2. Cite relevant sources

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

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

3. Write for your audience

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

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

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

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

Methodology

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

Research bias

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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• 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
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• Theoretical Framework
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• Evaluating Sources
• Primary Sources
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• Tiertiary Sources
• Scholarly vs. Popular Publications
• Qualitative Methods
• Quantitative Methods
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• Common Grammar Mistakes
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• Footnotes or Endnotes?
• Further Readings
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• USC Libraries Tutorials and Other Guides
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The methods section describes actions taken to investigate a research problem and the rationale for the application of specific procedures or techniques used to identify, select, process, and analyze information applied to understanding the problem, thereby, allowing the reader to critically evaluate a study’s overall validity and reliability. The methodology section of a research paper answers two main questions: How was the data collected or generated? And, how was it analyzed? The writing should be direct and precise and always written in the past tense.

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

Importance of a Good Methodology Section

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

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

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

Structure and Writing Style

I.  Groups of Research Methods

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

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

II.  Content

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

The remainder of your methodology section should describe the following:

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

In addition, an effectively written methodology section should:

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

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

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

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

III.  Problems to Avoid

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

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

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

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

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

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

Writing Tip

Statistical Designs and Tests? Do Not Fear Them!

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

To locate data and statistics, GO HERE .

Another Writing Tip

Knowing the Relationship Between Theories and Methods

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

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

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

Yet Another Writing Tip

Methods and the Methodology

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

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

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

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What It Covers

This template covers all the core components required in the methodology section of a typical dissertation, thesis or research paper, including:

• The opening section
• Research philosophy
• Research type
• Research strategy
• Time horizon
• Sampling strategy
• Data collection methods
• Data analysis methods
• Conclusion & summary

The purpose of each section is explained in plain language, along with  practical examples to help you understand exactly what’s required.

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FAQs: Research Methdodology Template

What format is the template (doc, pdf, ppt, etc.).

The methodology chapter template is provided as a Google Doc. You can download it in MS Word format or make a copy to your Google Drive. You’re also welcome to convert it to whatever format works best for you, such as LaTeX or PDF.

What types of dissertations/theses can this template be used for?

The methodology template follows the standard format for academic research projects, which means it will be suitable for the vast majority of dissertations and theses (especially those within the sciences), whether they adopt a qualitative, quantitative, or mixed-methods approach. The template is loosely based on Saunders’ research onion , which is recommended as a methodological framework by many universities.

Keep in mind that the exact requirements for the methodology chapter/section will vary between universities and degree programs. These are typically minor, but it’s always a good idea to double-check your university’s requirements before you finalize your structure.

Is this template for an undergrad, Master or PhD-level thesis?

This template can be used for a dissertation, thesis or research project at any level of study. Doctoral-level projects typically require the methodology chapter to be more extensive/comprehensive, but the structure will typically remain the same.

How long should the methodology chapter be?

This can vary a fair deal, depending on the level of study (undergrad, Master or Doctoral), the field of research, as well as your university’s specific requirements. Therefore, it’s best to check with your university or review past dissertations from your program to get an accurate estimate. 

How detailed should my methodology be?

As a rule of thumb, you should provide enough detail for another researcher to replicate your study. This includes clear descriptions of procedures, tools, and techniques you used to collect and analyse your data, as well as your sampling approach.

How technical should my language be in this chapter?

In the methodology chapter, your language should be technical enough to accurately convey your research methods and processes, but also clear and precise to ensure it’s accessible to readers within your field.

Aim for a balance where the technical aspects of your methods are thoroughly explained without overusing jargon or overly complex language.

Should I include a pilot study in my methodology?

If you conducted a pilot study, you can include it in the methodology to demonstrate the feasibility and refinement of your methods. Be sure to obtain the necessary permissions from your research advisor before conducting any pilot studies, though. 

Can I share this template with my friends/colleagues?

Yes, you’re welcome to share this template in its original format (no editing allowed). If you want to post about it on your blog or social media, we kindly request that you reference this page as your source.

Do you have templates for the other chapters?

Yes, we do. We are constantly developing our collection of free resources to help students complete their dissertations and theses. You can view all of our template resources here .

Can Grad Coach help me with my methodology?

Yes, we can assist with your methodology chapter (or any other chapter) on a coaching basis. If you’re interested, feel free to get in touch to discuss our private coaching services .

Additional Resources

If you’re working on a research proposal, you’ll also want to check these out…

Methodology Bootcamp

1-On-1 Private Coaching

The Grad Coach YouTube Channel

The Grad Coach Podcast

Library Guides

Dissertations 4: methodology: methods.

• Introduction & Philosophy
• Methodology

Primary & Secondary Sources, Primary & Secondary Data

When describing your research methods, you can start by stating what kind of secondary and, if applicable, primary sources you used in your research. Explain why you chose such sources, how well they served your research, and identify possible issues encountered using these sources.  

Definitions  

There is some confusion on the use of the terms primary and secondary sources, and primary and secondary data. The confusion is also due to disciplinary differences (Lombard 2010). Whilst you are advised to consult the research methods literature in your field, we can generalise as follows:  

Secondary sources 

Secondary sources normally include the literature (books and articles) with the experts' findings, analysis and discussions on a certain topic (Cottrell, 2014, p123). Secondary sources often interpret primary sources.  

Primary sources 

Primary sources are "first-hand" information such as raw data, statistics, interviews, surveys, law statutes and law cases. Even literary texts, pictures and films can be primary sources if they are the object of research (rather than, for example, documentaries reporting on something else, in which case they would be secondary sources). The distinction between primary and secondary sources sometimes lies on the use you make of them (Cottrell, 2014, p123). 

Primary data 

Primary data are data (primary sources) you directly obtained through your empirical work (Saunders, Lewis and Thornhill 2015, p316). 

Secondary data 

Secondary data are data (primary sources) that were originally collected by someone else (Saunders, Lewis and Thornhill 2015, p316).   

Comparison between primary and secondary data   

Use  

Virtually all research will use secondary sources, at least as background information. 

Often, especially at the postgraduate level, it will also use primary sources - secondary and/or primary data. The engagement with primary sources is generally appreciated, as less reliant on others' interpretations, and closer to 'facts'. 

The use of primary data, as opposed to secondary data, demonstrates the researcher's effort to do empirical work and find evidence to answer her specific research question and fulfill her specific research objectives. Thus, primary data contribute to the originality of the research.    

Ultimately, you should state in this section of the methodology: 

What sources and data you are using and why (how are they going to help you answer the research question and/or test the hypothesis. 

If using primary data, why you employed certain strategies to collect them. 

What the advantages and disadvantages of your strategies to collect the data (also refer to the research in you field and research methods literature). 

Quantitative, Qualitative & Mixed Methods

The methodology chapter should reference your use of quantitative research, qualitative research and/or mixed methods. The following is a description of each along with their advantages and disadvantages. 

Quantitative research 

Quantitative research uses numerical data (quantities) deriving, for example, from experiments, closed questions in surveys, questionnaires, structured interviews or published data sets (Cottrell, 2014, p93). It normally processes and analyses this data using quantitative analysis techniques like tables, graphs and statistics to explore, present and examine relationships and trends within the data (Saunders, Lewis and Thornhill, 2015, p496). 

Qualitative research  

Qualitative research is generally undertaken to study human behaviour and psyche. It uses methods like in-depth case studies, open-ended survey questions, unstructured interviews, focus groups, or unstructured observations (Cottrell, 2014, p93). The nature of the data is subjective, and also the analysis of the researcher involves a degree of subjective interpretation. Subjectivity can be controlled for in the research design, or has to be acknowledged as a feature of the research. Subject-specific books on (qualitative) research methods offer guidance on such research designs.  

Mixed methods 

Mixed-method approaches combine both qualitative and quantitative methods, and therefore combine the strengths of both types of research. Mixed methods have gained popularity in recent years.  

When undertaking mixed-methods research you can collect the qualitative and quantitative data either concurrently or sequentially. If sequentially, you can for example, start with a few semi-structured interviews, providing qualitative insights, and then design a questionnaire to obtain quantitative evidence that your qualitative findings can also apply to a wider population (Specht, 2019, p138). 

Ultimately, your methodology chapter should state: 

Whether you used quantitative research, qualitative research or mixed methods. 

Why you chose such methods (and refer to research method sources). 

Why you rejected other methods. 

How well the method served your research. 

The problems or limitations you encountered. 

Doug Specht, Senior Lecturer at the Westminster School of Media and Communication, explains mixed methods research in the following video:

LinkedIn Learning Video on Academic Research Foundations: Quantitative

The video covers the characteristics of quantitative research, and explains how to approach different parts of the research process, such as creating a solid research question and developing a literature review. He goes over the elements of a study, explains how to collect and analyze data, and shows how to present your data in written and numeric form.

Link to quantitative research video

Some Types of Methods

There are several methods you can use to get primary data. To reiterate, the choice of the methods should depend on your research question/hypothesis. 

Whatever methods you will use, you will need to consider: 

why did you choose one technique over another? What were the advantages and disadvantages of the technique you chose? 

what was the size of your sample? Who made up your sample? How did you select your sample population? Why did you choose that particular sampling strategy?) 

ethical considerations (see also tab...)  

safety considerations  

validity  

feasibility  

recording  

procedure of the research (see box procedural method...).  

Check Stella Cottrell's book  Dissertations and Project Reports: A Step by Step Guide  for some succinct yet comprehensive information on most methods (the following account draws mostly on her work). Check a research methods book in your discipline for more specific guidance.  

Experiments 

Experiments are useful to investigate cause and effect, when the variables can be tightly controlled. They can test a theory or hypothesis in controlled conditions. Experiments do not prove or disprove an hypothesis, instead they support or not support an hypothesis. When using the empirical and inductive method it is not possible to achieve conclusive results. The results may only be valid until falsified by other experiments and observations. 

For more information on Scientific Method, click here . 

Observations 

Observational methods are useful for in-depth analyses of behaviours in people, animals, organisations, events or phenomena. They can test a theory or products in real life or simulated settings. They generally a qualitative research method.  

Questionnaires and surveys 

Questionnaires and surveys are useful to gain opinions, attitudes, preferences, understandings on certain matters. They can provide quantitative data that can be collated systematically; qualitative data, if they include opportunities for open-ended responses; or both qualitative and quantitative elements. 

Interviews  

Interviews are useful to gain rich, qualitative information about individuals' experiences, attitudes or perspectives. With interviews you can follow up immediately on responses for clarification or further details. There are three main types of interviews: structured (following a strict pattern of questions, which expect short answers), semi-structured (following a list of questions, with the opportunity to follow up the answers with improvised questions), and unstructured (following a short list of broad questions, where the respondent can lead more the conversation) (Specht, 2019, p142). 

This short video on qualitative interviews discusses best practices and covers qualitative interview design, preparation and data collection methods. 

Focus groups   

In this case, a group of people (normally, 4-12) is gathered for an interview where the interviewer asks questions to such group of participants. Group interactions and discussions can be highly productive, but the researcher has to beware of the group effect, whereby certain participants and views dominate the interview (Saunders, Lewis and Thornhill 2015, p419). The researcher can try to minimise this by encouraging involvement of all participants and promoting a multiplicity of views. 

This video focuses on strategies for conducting research using focus groups.  

Check out the guidance on online focus groups by Aliaksandr Herasimenka, which is attached at the bottom of this text box. 

Case study 

Case studies are often a convenient way to narrow the focus of your research by studying how a theory or literature fares with regard to a specific person, group, organisation, event or other type of entity or phenomenon you identify. Case studies can be researched using other methods, including those described in this section. Case studies give in-depth insights on the particular reality that has been examined, but may not be representative of what happens in general, they may not be generalisable, and may not be relevant to other contexts. These limitations have to be acknowledged by the researcher.     

Content analysis 

Content analysis consists in the study of words or images within a text. In its broad definition, texts include books, articles, essays, historical documents, speeches, conversations, advertising, interviews, social media posts, films, theatre, paintings or other visuals. Content analysis can be quantitative (e.g. word frequency) or qualitative (e.g. analysing intention and implications of the communication). It can detect propaganda, identify intentions of writers, and can see differences in types of communication (Specht, 2019, p146). Check this page on collecting, cleaning and visualising Twitter data.

Extra links and resources:  

Research Methods  

A clear and comprehensive overview of research methods by Emerald Publishing. It includes: crowdsourcing as a research tool; mixed methods research; case study; discourse analysis; ground theory; repertory grid; ethnographic method and participant observation; interviews; focus group; action research; analysis of qualitative data; survey design; questionnaires; statistics; experiments; empirical research; literature review; secondary data and archival materials; data collection. 

Doing your dissertation during the COVID-19 pandemic  

Resources providing guidance on doing dissertation research during the pandemic: Online research methods; Secondary data sources; Webinars, conferences and podcasts; 

• Virtual Focus Groups Guidance on managing virtual focus groups

5 Minute Methods Videos

The following are a series of useful videos that introduce research methods in five minutes. These resources have been produced by lecturers and students with the University of Westminster's School of Media and Communication. 

Case Study Research

Research Ethics

Quantitative Content Analysis 

Sequential Analysis 

Qualitative Content Analysis 

Thematic Analysis 

Social Media Research 

Mixed Method Research 

Procedural Method

In this part, provide an accurate, detailed account of the methods and procedures that were used in the study or the experiment (if applicable!). 

Include specifics about participants, sample, materials, design and methods. 

If the research involves human subjects, then include a detailed description of who and how many participated along with how the participants were selected.  

Describe all materials used for the study, including equipment, written materials and testing instruments. 

Identify the study's design and any variables or controls employed. 

Write out the steps in the order that they were completed. 

Indicate what participants were asked to do, how measurements were taken and any calculations made to raw data collected. 

Specify statistical techniques applied to the data to reach your conclusions. 

Provide evidence that you incorporated rigor into your research. This is the quality of being thorough and accurate and considers the logic behind your research design. 

Highlight any drawbacks that may have limited your ability to conduct your research thoroughly. 

You have to provide details to allow others to replicate the experiment and/or verify the data, to test the validity of the research. 

Bibliography

Cottrell, S. (2014). Dissertations and project reports: a step by step guide. Hampshire, England: Palgrave Macmillan.

Lombard, E. (2010). Primary and secondary sources.  The Journal of Academic Librarianship , 36(3), 250-253

Saunders, M.N.K., Lewis, P. and Thornhill, A. (2015).  Research Methods for Business Students.  New York: Pearson Education. 

Specht, D. (2019).  The Media And Communications Study Skills Student Guide . London: University of Westminster Press.  

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What Is a Research Methodology? | Steps & Tips

Published on 25 February 2019 by Shona McCombes . Revised on 10 October 2022.

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

It should include:

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

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Table of contents

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

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

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

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

Option 1: Start with your “what”

What research problem or question did you investigate?

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

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

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

Option 2: Start with your “why”

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

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

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

Quantitative methods

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

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

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

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

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

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

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

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

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

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

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

Qualitative methods

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

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

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

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

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

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

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

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

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

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

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

Mixed methods

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

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

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

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

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

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

Specific methods might include:

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

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

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

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

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

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

1. Focus on your objectives and research questions

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

2. Cite relevant sources

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

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

3. Write for your audience

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

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

Methodology refers to the overarching strategy and rationale of your research. Developing your methodology involves studying the research methods used in your field and the theories or principles that underpin them, in order to choose the approach that best matches your objectives.

Methods are the specific tools and procedures you use to collect and analyse data (e.g. interviews, experiments , surveys , statistical tests ).

In a dissertation or scientific paper, the methodology chapter or methods section comes after the introduction and before the results , discussion and conclusion .

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

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

Quantitative methods allow you to test a hypothesis by systematically collecting and analysing data, while qualitative methods allow you to explore ideas and experiences in depth.

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.

Statistical sampling allows you to test a hypothesis about the characteristics of a population. There are various sampling methods you can use to ensure that your sample is representative of the population as a whole.

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Dissertation Methodology Writing Guide

Introduction.

The methodology section will be the chapter that you write following on from your literature review . After you have researched and discovered the gap in the available literature, it is possible for you to create ideas for your proposed research.

In your research proposal , you will have had a suggested methodology where you would have given ideas about how to approach the research: this would have been either through a primary data approach or through collecting secondary data .

Primary data

Primary data is any form of evidence that you collect yourself through your own research in the form of surveys, interviews, questionnaires, focus groups, observations, experiments. Primary data collection methods does not involve the collection of data from other researchers’ work and their studies.

Secondary data

Collecting secondary data is the collection of evidence from previous researchers’ work. An example could be focusing on another researchers’ experiment and using their findings as a basis for your dissertation. An example could be collecting the findings from two different experiments and comparing the findings of these studies in relation to the question posed.

Once you have decided what type of data you will be collecting, you will then need to determine whether the data being collected is qualitative or quantitative as this will have an impact on the analysis of your research.

Quantitative

Quantitative research only produces results on the specific issue that is being investigated and uses statistical, mathematical and computational programmes.

A closed-ended questionnaire would be analysed using quantitative research if the researcher merely computed the results and produced a series of comments as to the percentages of respondents who gave specific answers. A common programme by which to analyse quantitative research is SPSS.

Qualitative

Qualitative research tends to be used more in the social sciences and arts and is when a research seeks to ask ‘why’ and ‘how’ something has happened and explains the reasons with recourse to empirical mathematical models.

Within primary research that uses qualitative research, small focus groups can often be employed.

An open-ended questionnaire that collates and assesses a range of verbal responses would be analysed using qualitative techniques as the answers given do not lend themselves to being processed in the manner described above relating to closed questionnaires.

Mixed Methodology

Another option is through a mixed methods approach, which would be the collection of both primary and secondary data.

In a dissertation where one is assessing, for instance, the effects of flooding in the Wirral peninsula, it is likely that all the research techniques mentioned above would be used.

Secondary data would be used through a literature review. Closed-ended questionnaires could be analysed using a statistical panel and interviews with experts would be commented upon with reference to existing literature.

Accordingly, both primary and secondary research techniques would be utilised as well as qualitative and quantitative mechanisms.

Writing Your Methodology

You should begin your methodology with a brief introduction to the chapter, this should also include relaying the aims of the study. Following on from this, it is best to start by defining and choosing the research paradigm for the dissertation.

Research paradigms – there are 4 main approaches to research. These are positivism, interpretivism (also known as constructivism), post-positivism and critical theory.

• Positivism: philosophical viewpoint that the validity of research comes from objective experimental testing
• Interpretivism (Constructivism): usually associated with qualitative research, interpretivism research is subjective. This means that results from research are down to interpretation by the researcher i.e answers to questions in an interview
• Post-positivism: as opposed to positivism, post positivism accepts subjectivity in research and tests qualitative data alongside quantitative data

Once you have defined your research philosophy, the next step would be to identify your research approach and instrument.

Research approach – This can be separated by two types:

• Deductive research
• Inductive research

Deductive research is the approach you would take if you had hypotheses that were being tested, then you would be using a deductive research approach.

Inductive research is when there is a set of observations and a theory is developed to explain those observations or any patterns that are amongst those observations.

Following on from this, you would then be expected to discuss your chosen data collection method along with stating if the research is either quantitative or qualitative. When writing about key terms i.e. primary data; it is always best to define, explain and justify why.

In so doing, you should also note (briefly) what is inappropriate about the other approaches as well as the ways in which you have overcome any negatives that are associated with your approach.

If your chosen methodology is the collection of primary data, the next step would be the describe and explain the sampling and participant selection.

Here you would need to describe and explain the chosen sampling method along with the number of participants selected. It is always good to include how you contacted the participants and recruited them for the study.

If you are using primary data, it is always crucial to include a sub-chapter of the work that discusses any ethical concerns and considerations that arose due to your chosen methodology.

For both primary and secondary data, it is necessary to include a sub-section on the data analysis that will be used to collate and analyse the data gathered in the research.

Here you will discuss how you intend to analyse the data and why you have chosen this analytical technique.

Justification

Whichever approach you use it is important that you justify your decision and that you do so via reference to existing academic works – and writing only in the third person.

As with the background section of your dissertation, your methodology section needs to be grounded in existing academic opinion.

The following books provide not only an overview of methodological approaches (and the strengths and weaknesses associated with each) but are also the sorts of books that your lecturers may expect to see referenced within your methodology section, depending on the type of course you are doing.

Bell, J. (1993). Doing your research project . Maidenhead: Open University Press.

Bryman, A. (2012). Social research methods (4th edn). Oxford: Oxford University Press.

Denscombe, M. (2007). The good research guide (3rd edn). Maidenhead: Open University Press.

Flick, U. (2011). Introducing research methodology . London: SAGE.

Grinyer, A. (2002). ‘The anonymity of research participants: Assumptions, ethics and practicalities’. Social Research Update , Vol. 36, University of Surrey.

Morgan, G. and Smircich, L. (1980). ‘The case for qualitative research’, The Academy of Management Review . Vol. 5 (4), pp. 491-500.

Ritchie, J. and Lewis, L. (2003). Qualitative research practice: A guide for social science students and researchers . London: SAGE.

Robson, C. (2002). Real world research (2nd edn). Oxford: Blackwell Publishing.

Silverman, D. (2010). Doing qualitative research: A practical handbook (3rd edn). London: SAGE.

You do not need to read them all, but you should show (using appropriate and limited direct quotation for extra marks) at least some knowledge of the arguments contained within these books. For an undergraduate dissertation it would be good practice to include at least five of these books (or their equivalent – depending upon what is available within your library) in your bibliography.

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Checklist: Writing a Methodology

• Have I selected a research method which is within my abilities and matches my aims?
• Have I considered other research methods which may be appropriate?
• Can I critically explain why I ruled these methods out?
• Have I acknowledged the strengths and weaknesses of my chosen method?

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Well done on completing this checklist! You're doing great.

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Introduction

The current chapter presents developing the research methods needed to complete the experimentation portion of the current study. The chapter will discuss in detail the various stages of developing the methodology of the current study. This includes a detailed discussion of the philosophical background of the research method chosen. In addition to this, the chapter describes the data collection strategy, including the selection of research instrumentation and sampling. The chapter closes with a discussion on the analysis tools used to analyse the data collected.

Selecting an Appropriate Research Approach

Creswall (2013) stated that research approaches are plans and procedures that range from steps, including making broad assumptions to detailed methods of data collection, analysis, and interpretation. The several decisions involved in the process are used to decide which approach should be used in a specific study that is informed using philosophical assumptions brought to the study (Creswall 2013). Included in this are procedures of inquiry or research designs and specific research methods used for data collection, its analysis, and finally, its interpretation. However, Guetterman (2015); Lewis (2015); and Creswall (2013) argue that the selection of the specific research approach is based on the nature of the research problem, or the issue that is being addressed by any study, personal experiences of the researchers’, and even the audience for which the study is being developed for.

There are many ways to customise research approaches to develop an approach most suited for a particular study. However, the main three categories with which research approaches are organised include; qualitative, quantitative, and mixed research methods. Creswall (2013) comments that all three approaches are not considered so discrete or distinct from one another. Creswall (2013) states, “qualitative and quantitative approaches should not be viewed as rigid, distinct categories, polar opposite, or dichotomies” (p.32). Newmand and Benz (1998) pointed out that quantitative and qualitative approaches instead represent different ends on a continuum since a study “tends” to be more quantitative than qualitative or vice versa. Lastly, mixed methods research resides in the middle of the continuum as it can incorporate elements and characteristics of both quantitative and qualitative approaches. Lewis (2015) points out that the main distinction that is often cited between quantitative and qualitative research is that it is framed in terms of using numbers rather than words; or using closed-ended questions for quantitative hypotheses over open-ended questions for qualitative interview questions. Guetterman (2015) points out that a clearer way of viewing gradations of differences between the approaches is to examine the basic philosophical assumptions brought to the study, the kinds of research strategies used, and the particular methods implemented in conducting the strategies.

Underlying Philosophical Assumptions

An important component of defining the research approach involves philosophical assumptions that contribute to the broad research approach of planning or proposing to conduct research. It involves the intersection of philosophy, research designs and specific methods as illustrated in Fig. 1 below.

Figure 3.2-1- Research Onion (Source; Saunders and Tosey 2013)

Slife and Williams (1995) have argued that philosophical ideas have remained hidden within the research. However, they still play an influential role in the research practice, and it is for this reason that it is most identified. Various philosophical assumptions are used to construct or develop a study. Saunders et al. (2009) define research philosophy as a belief about how data about a phenomenon should be gathered, analysed and used. Saunders et al. (2009) identify common research philosophies such as positivism, realism, interpretivism, subjectivism, and pragmatism. Dumke (2002) believes that two views, positivism and phenomenology, mainly characterise research philosophy.

Positivism reflects acceptance in adopting the philosophical stance of natural scientists (Saunders, 2003). According to Remenyi et al. (1998), there is a greater preference in working with an “observable social reality” and that the outcome of such research can be “law-like” generalisations that are the same as those which are produced by physical and natural scientists. Gill and Johnson (1997) add that it will also emphasise a high structure methodology to allow for replication for other studies. Dumke (2002) agrees and explains

that a positivist philosophical assumption produces highly structured methodologies and allows for generalisation and quantification of objectives that can be evaluated by statistical methods. For this philosophical approach, the researcher is considered an objective observer who should not be impacted by or impact the subject of research.

On the other hand, more phenomenological approaches agree that the social world of business and management is too complex to develop theories and laws similar to natural sciences. Saunders et al. (2000) argue that this is the reason why reducing observations in the real world to simple laws and generalisations produces a sense of reality which is a bit superficial and doesn’t present the complexity of it.

The current study chooses positivistic assumptions due to the literature review’s discussion of the importance of Big Data in industrial domains and the need for measuring its success in the operations of the business. The current study aims to examine the impact that Big Data has on automobile companies’ operations. To identify a positive relationship between Big Data usage and beneficial business outcomes, the theory needs to be used to generate hypotheses that can later be tested of the relationship which would allow for explanations of laws that can later be assessed (Bryman and Bell, 2015).

Selecting Interpretive Research Approach

Interpretive research approaches are derived from the research philosophy that is adopted. According to Dumke (2002), the two main research approaches are deductive and inductive. The inductive approach is commonly referred to when theory is derived from observations. Thus, the research begins with specific observations and measures. It is then from detecting some pattern that a hypothesis is developed. Dumke (2002) argues that researchers who use an inductive approach usually work with qualitative data and apply various methods to gather specific information that places different views. From the philosophical assumptions discussed in the previous section, it is reasonable to use the deductive approach for the current study. It is also considered the most commonly used theory to establish a relationship between theory and research. The figure below illustrates the steps used for the process of deduction.

Data Collection

• confirmed or rejected
• Revision of theory

Based on what is known about a specific domain, the theoretical considerations encompassing it a hypothesis or hypotheses are deduced that will later be subjected to empirical enquiry (Daum, 2013). Through these hypotheses, concepts of the subject of interest will be translated into entities that are rational for a study. Researchers are then able to deduce their hypotheses and convert them into operational terms.

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Justifying the Use of Quantitative Research Method

Saunders (2003) notes that almost all research will involve some numerical data or even contain data quantified to help a researcher answer their research questions and meet the study’s objectives. However, quantitative data refers to all data that can be a product of all research strategies (Bryman and Bell, 2015; Guetterman, 2015; Lewis, 2015; Saunders, 2003). Based on the philosophical assumptions and interpretive research approach, a quantitative research method is the best suited for the current study. Haq (2014) explains that quantitative research is about collecting numerical data and then analysing it through statistical methods to explain a specific phenomenon. Mujis (2010) defends the use of quantitative research because, unlike qualitative research, which argues that there is no pre-existing reality, quantitative assumes that there is only a single reality about social conditions that researchers cannot influence in any way. Also, qualitative research is commonly used when there is little to no knowledge of a phenomenon, whereas quantitative research is used to find the cause and effect relationship between variables to either verify or nullify some theory or hypothesis (Creswall 2002; Feilzer 2010; Teddlie and Tashakkori 2012).

Selecting an Appropriate Research Strategy

There are many strategies available to implement in a study, as evidenced from Fig. 1. There are many mono-quantitative methods, such as telephone interviews, web-based surveys, postal surveys, and structured questionnaires (Haq 2014). Each instrument has its own pros and cons in terms of quality, time, and data cost. Brymand (2006); Driscoll et al. (2007); Edwards et al. (2002); and Newby et al. (2003) note that most researchers use structured questionnaires for data collection they are unable to control or influence respondents, which leads to low response rates but more accurate data obtained. Saunders and Tosey (2015) have argued that quantitative data is simpler to obtain and more concise to present. Therefore, the current study uses a survey-based questionnaire (See Appendix A).

Justifying the use of Survey Based Questionnaire

Surveys are considered the most traditional forms of research and are used in non-experimental descriptive designs that describe some reality. Survey-based questionnaires are often restricted to a representative sample of a potential group of the study’s interest. In this case, it is the executives currently working for automobile companies in the UK. The survey instrument is then chosen for its effectiveness at being practical and inexpensive (Kelley et al., 2003). Due to the philosophical assumptions, interpretive approach, and methodological approach, the survey design for the current study is considered the best instrument in line with these premises, besides being cost-effective.

Empirical Research Methodology

Research design.

This section describes how research is designed to use the techniques used for data collection, sampling strategy, and data analysis for a quantitative method. Before going into the strategies of data collection and analysis, a set of hypotheses were developed.

Hypotheses Development

The current study uses a quantitative research approach, making it essential to develop a set of hypotheses that will be used as a test standard for the mono-method quantitative design. The following are a set of hypotheses that have been developed from the examination of the literature review.

H1- The greater the company’s budget for Big Data initiatives (More than 1 million GBP), the greater its ability to monetise and generate new revenues.

H2- The greater the company’s budget for Big Data initiatives (More than 1 million GBP) the more decrease in expenses in found.

H3- The greatest impact of Big Data on a company is changing the way business is done.

H4- Big Data integrating with a company has resulted in competitive significance.

H5- The analytical abilities of a company allows for achieved measurable results.

H6- Investing in Big Data will lead to highly successful business results.

H7- A business’s operations function is fuelling Big Data initiatives and effecting change in operations.

H8- The implementation of Big Data in the company has positive impacts on business.

This section includes the sampling method used to collect the number of respondents needed to provide information, then analysed after collection.

Sampling Method

Collis (2009) explains that there are many kinds of sampling methods that can be used for creating a specific target sample from a population. This current study uses simple random sampling to acquire respondents with which the survey will be conducted. Simple random sampling is considered the most basic form of probability sampling. Under the method, elements are taken from the population at random, with all elements having an equal chance of being selected. According to () as of 2014, there are about thirty-five active British car manufacturers in the UK, each having an employee population of 150 or more. This is why the total population of employees in car manufacturers is estimated to be 5,250 employees. The sample, therefore, developed used the following equation;

2  ×   (1 −   )

+(   2 × (1−  ) )  2

Where; N is the population size,  e  is the margin of error (as a decimal),  z  is confidence level (as a z-score), and  p  is percentage value (as a decimal). Thus, the sample size is with a normal distribution of 50%. With the above equation, a population of 5,250; with a 95% confidence level and 5% margin of error, the total sample size needed for the current equals 300. Therefore, N=300, which is the sample size of the current study.

The survey develops (see Appendix A) has a total of three sections, A, B, and C, with a total of 39 questions. Each section has its own set of questions to accomplish. The survey is a mix of closed-end questions that look to comprehend the respondents’ demographic makeup, the Big Data initiatives of the company, and the impact that Big Data was having on their company. The survey is designed to take no longer than twenty minutes. The survey was constructed on Survey Monkey.com, and an online survey provided website. The survey was left on the website for a duration of 40 days to ensure that the maximum number of respondents were able to answer the survey. The only way that the survey was allowed for a respondent is if they passed a security question as if they were working for an automobile company in the UK when taking the survey. Gupta et al. (2004) believe that web surveys are visual stimuli, and the respondent has complete control about whether or how each question is read and understood. That is why Dillman (2000) argued that web questionnaires are expected to resemble those taken through the mail/postal services closely.

Data Analysis

The collected data is then analysed through the Statistical Package for Social Science (SPSS) version 24 for descriptive analysis. The demographic section of the survey will be analysed using descriptive statistics. Further analysis of the data includes regression analysis. Simple regression analysis includes only one independent variable and one dependent variable. Farrar and Glauber (1967) assert that the purpose of regression analysis is to estimate the parameters of dependency, and it should not be used to determine the interdependency of a relationship.

Need a Dissertation Chapter On a Similar Topic?

Conclusions.

The chapter provides a descriptive and in-depth discussion of the methods involved in the current study’s research. The current study is looking towards a quantitative approach that considers positivism as its philosophical undertaking, using deductive reasoning for its interpretive approach, is a mono-quantitative method that involves the use of a survey instrument for data collection. The methodology chapter also provided the data analysis technique, which is descriptive statistics through frequency analysis and regression analysis.

Examples of results;

Question 8- Of these staff, are mostly working in or for your consumer-facing (B2C) businesses, your commercial or wholesale (B2B) businesses, or both?

Based on the illustration, nineteen (19) respondents indicated that 501-1000 employees are dedicated to analytics for both B2B and B2C. The category of using Big Data analytics for both B2B and B2C comprises the most agreement of respondents with 72 of 132 indicated.

The figure above represents the respondents’ answers to their automobile company’s plan for measuring Big Data’s success. Of the 132 participants, 44.70 per cent responded that the company is planning on using quantitative metrics associated with business performance to analyse if Big Data is actually successful. Another, 30.30 per cent indicated that their company was planning on using qualitative metrics tied to business performance. Using business performance to analyse the success of Big Data is coherent to the results of the literature review that indicated previous studies of doing such. As an automobile company, they need to know the results of using Big Data analytics, and that is only by using business performance indicators regardless of being qualitative or quantitative.

Fig. 4.3-6 portrays the response of participants in regards to actually achieving measurable results from Big Data. According to 68.18 per cent of respondents, the company that they worked for did indeed show measurable results from their investments in Big Data. However, 31.82 per cent indicated that there was indeed no measurable result in investing in Big Data.

Bryman, A., Bell, E., 2015. Business Research Methods. Oxford University Press.

Daum, P., 2013. International Synergy Management: A Strategic Approach for Raising Efficiencies in the Cross-border Interaction Process. Anchor Academic Publishing (aap_verlag).

Dümke, R., 2002. Corporate Reputation and its Importance for Business Success: A European

Perspective and its Implication for Public Relations Consultancies. diplom.de.

Guetterman, T.C., 2015. Descriptions of Sampling Practices Within Five Approaches to Qualitative Research in Education and the Health Sciences. Forum Qualitative Sozialforschung /

Forum: Qualitative Social Research 16.

Haq, M., 2014. A Comparative Analysis of Qualitative and Quantitative Research Methods and a Justification for Adopting Mixed Methods in Social Research (PDF Download Available).

ResearchGate 1–22. doi:http://dx.doi.org/10.13140/RG.2.1.1945.8640

Kelley, K., Clark, B., Brown, V., Sitzia, J., 2003. Good practice in the conduct and reporting of survey research. Int J Qual Health Care 15, 261–266. doi:10.1093/intqhc/mzg031

Lewis, S., 2015. Qualitative Inquiry and Research Design: Choosing Among Five Approaches.

Health Promotion Practice 16, 473–475. doi:10.1177/1524839915580941

Saunders, M., 2003. Research Methods for Business Students. Pearson Education India.

Saunders, M.N.K., Tosey, P., 2015. Handbook of Research Methods on Human Resource

Development. Edward Elgar Publishing.

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Frequently Asked Questions

How to write methodology chapter of a dissertation.

To write the methodology chapter of a dissertation:

• Describe research design & approach.
• Explain data collection methods.
• Justify chosen methods.
• Address limitations.
• Analyse data.
• Ensure replicability.

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Writing your dissertation methodology

(Last updated: 20 December 2023)

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We have helped 10,000s of undergraduate, Masters and PhD students to maximise their grades in essays, dissertations, model-exam answers, applications and other materials. If you would like a free chat about your project with one of our UK staff, then please just reach out on one of the methods below.

What is a methodology?

Your methodology section appears immediately after the literature review in your dissertation, and should flow organically from it. Up until the point of writing your methodology, you will have defined your research question and conducted a detailed review of what other scholars in the field have to say about your topic. You’ll have also reviewed the ways in which these scholars have arrived at their conclusions – the assumptions on which their work is based, the theoretical frameworks they've used, and the methods they've used to gather, marshal and present their data. You will have used these observations, along with discussions with your supervisor, to plan how you're going to tackle your research question. This could be planning how you'll gather data, or what models you'll use to process it, or what philosophical positions most inform your work. Following this, your dissertation methodology provides a detailed account of both how you'll approach your dissertation and why you've taken the decision to approach it in the way you have.

What should my methodology look like?

Your methodology needs to establish a clear relationship between your research question, the existing scholarship in your field that you have surveyed as part of your literature review, and the means by which you'll come to your conclusions. Therefore, no matter what subject area you're working in, your methodology section will include the following:

Key to justifying your methodology is demonstrating that it is fit for the purpose of answering the research problem or questions you posed at the start. You should recap the key questions you want to answer when introducing your methodology, but this doesn't have to be a word-for-word restatement; you might want to reword the problem in a way that bridges your literature review and methodology.

This is the heart of the methodology but is not, by itself, a methodology. This is the part of your methodology where you clearly explain your process for gathering and analysing data, or for approaching your research question. This should be clear and detailed enough that another scholar is able to read it and apply it in some way, outside of the immediate context of your dissertation. If you're offering a new theoretical take on a literary work or a philosophical problem, your reader should be able to understand your theory enough that they can apply it to another text or problem. If you're describing a scientific experiment, your reader should have all they need to recreate your experiment in a lab. If you're introducing a new type of statistical model, your reader should be able to apply this model to their own data set after reading your methodology section.

Your methodology doesn't just describe your method; it discusses the reasons why you've chosen it, and why you believe it will yield the best results, the most insightful set of analyses and conclusions, or the most innovative perspective. This will draw in part from your literature review , presenting your choices as informed and rooted in sound scholarship, while ideally also displaying innovation and creativity. You should also ensure that you relate the rationale for your method explicitly to your research problem; it should be very clear to your reader that the methodology you've chosen is a thoughtful and tailored response to the questions you're trying to answer.

No research method is perfect, and it's likely that the one you've chosen comes with certain trade-offs. You might, for instance, have chosen a small-scale set of interviews because the individual perspectives of a set of interviewees on the problem you're exploring is more valuable to you than a larger set of data about responses to the same question. But that means you've nevertheless sacrificed a quantitative approach to your problem that might have yielded its own set of important insights. Be honest and upfront – but not apologetic – about the limitations of your chosen method, and be ready to justify why it's the best approach for your purposes.

While the outline of your methodology section will look much the same regardless of your discipline, the details are liable to be quite different depending on the subject area in which you're studying. Let's take a look at some of the most common types of dissertation, and the information required in a methodology section for each of them.

Common types of dissertation methodology

A scientific study The methodology section for a scientific study needs to emphasise rigour and reproducibility above all else. Your methods must appear robust to the reader, with no obvious flaws in the design or execution. You should not only include the necessary information about your equipment, lab setup, and procedure to allow another researcher to reproduce your method; you should also demonstrate that you've factored any variables that are likely to distort your data (for example, by introducing false positives into your design), and that you have a plan to handle these either in collecting, analysing, or drawing conclusions from your data.

Your methodology should also include details of – and justifications for – the statistical models you'll use to analyse your data. Remember that a scholar might use any single part of your methodology as a departure point for their own work; they might follow your experiment design but choose a different model for analysing the results, or vice versa!

A study in the social or behavioural sciences As with a scientific study, a social or behavioural sciences methodology needs to demonstrate both rigour and reproducibility, allowing another researcher to reproduce your study in whole or in part for their own ends. However, the complexity of working with human subjects means there are a number of additional questions to consider. First of all, you'll want to answer certain broad questions about the kind of analysis you're undertaking: is it qualitative or quantitative, or a mixed approach that uses qualitative data to provide context and background to quantitative data (or vice versa)? Will you be conducting recorded interviews with your subjects, asking them to complete a written questionnaire, or observing them undertaking some activity or other? Or will you avoid doing your own research with human subjects at all, and base your research on documentary evidence or a pre-existing data set? What is the scope of your data and conclusions? Is there reason to believe it can be generalised to other contexts, or is it highly specific to the particular location or cultural context in which you conducted your research?

In addition to answering all these questions, you must satisfy your reader that you have considered all the ethical questions associated with your research. Part of this, of course, entails obtaining sign-off for your design from the appropriate ethics bodies, but even then there might be aspects of your study – inviting subjects to relive episodes of grief and trauma, for instance, or broaching culturally sensitive matters within a particular target group – that some readers could consider contentious or problematic. Make sure you address such concerns head-on, and if necessary justify your methods by emphasising the potential value of your conclusions.

A critical dissertation in the arts or humanities Methodological rigour is just as valuable in the arts and humanities as in the sciences and social sciences. However, if you're writing an arts or humanities dissertation the way in which you convey this rigour – and convince your audience of it - is a little different. The methodology section in an arts or humanities dissertation is likely to be much more closely linked to the literature review than a scientific or social sciences study; even the most innovative dissertation in the arts or humanities typically involves applying X's theories in a new context, or combining X and Y's insights to yield a new theoretical framework. For this reason it can be tempting to gloss over the methodology section in an arts or humanities dissertation, and move more or less seamlessly from literature review into analysis. But it's crucial that you provide a detailed justification of your chosen frameworks and how they relate to your research question here too; without this justification a critical reader may very well take issue with your entire analysis because you've failed to convince them of the appropriateness of your theoretical underpinnings to the material you're analysing.

In particular, it's vitally important that your dissertation methodology shows an appreciation of the historical and cultural contexts of the theoretical frameworks you use, especially where there's fundamental disagreement between theorists. If you use the work of theorists from differing or even opposing schools of thought to support your readings, your methodology section should show a clear understanding of how these schools of thought disagree and a justification of why there are nevertheless aspects of each approach that you've decided to use in your own work.

A creative arts dissertation Many programmes in the arts offer the option of completing a creative rather than critical dissertation; that is, of submitting a piece of creative writing or a portfolio of artworks, rather than an extended critical project, for the dissertation component of the programme. However, in virtually all cases, your creative project must be accompanied by a substantial critical essay (or introduction, or commentary) that theorises your creative practice. Critically engaging with one's own work is a notoriously difficult thing to do, which makes the development and adherence to a rigorous methodology especially important in this context. You need to not only show that you're capable of detaching yourself from your own creative work and viewing it through an objective lens, but that you are able to see your own creative practice as methodology – as a method of creating work that is grounded in theory and research and that can be evaluated against clear target goals.

What should my methodology not contain?

No part of your dissertation should be hermetically sealed off from the others, and there will undoubtedly be some overlap between your methodology and literature review section, for example. You might even find yourself moving material back and forth between sections during edits. But you should resist the temptation to include the following in your dissertation methodology, even if they seem to belong there quite naturally:

It's likely you'll want to refer to precedents for your dissertation methodology, and to the theorists or practitioners upon whose work it is based, as you describe your own methodology. However, this is not the place for an exhaustive review of methodologies you're not using – that work belongs in your literature review chapter , and you should refer back to that chapter for context on why you're taking (or not taking) a particular approach.

Your methodology section should equip a reader to reproduce your research, but it should also be a readable chapter of your dissertation and should retain the interest of somebody who doesn't necessarily want to reproduce your experiment from start to finish. If it's possible to convey all the information another scholar would need in order to recreate your work in the body of your dissertation, do so; however if your methodology section starts to look like a shopping list, you should move some very detailed content into an appendix and refer to that.

The methodology section is not the place to reproduce any data, even if you're illustrating how a questionnaire or other data-gathering mechanic works. Again, you can place such information in an appendix and refer to it.

Deciding on your methodology

When you start your dissertation project, you may already have some broad ideas about the methodology you want to use. You'll refine these ideas in conversation with your supervisor and develop them further as you read about the previous work that has been done in your field, and other scholars' approach to your subject area. If you're completing a postgraduate dissertation , the chances are you already have a broad awareness of the different theoretical positions and schools of thought in your field, and you may well have a good idea of the schools of thought with which you most closely identify (and, just as importantly, those you don't identify with). If you're writing an undergraduate dissertation , this may very well be the first time you've been asked to engage with such a broad field of literature, and categorising this into distinct approaches and schools of thought may seem like an overwhelming task at first.

Regardless of your level, your dissertation methodology will develop as you review the literature in your field and refine your initial research questions. Your literature review and methodology will therefore develop in tandem with each other. Your response to the literature will help you decide on the approach you want to take to your research question, but your methodology will probably already be decided by the time you actually write up your literature review, meaning that you can frame it so as to position the methodology as a clear, organic and natural progression from your survey of the field. It should be noted, of course, that your methodology won't only be determined by the modes of inquiry or schools of thought that appeal to you most; there are likely to be practical considerations that determine how you approach your problem. Unless you happen to have access to a particle accelerator at your university, the chances are your quantum physics project will be based on theoretical projections rather than physical experimental data.

What makes a great methodology?

The answer to this question depends in part upon whether you're writing an undergraduate or postgraduate dissertation. For most students, an undergraduate dissertation is their first opportunity to engage in detail with scholarship in their fields and to design and conduct a rigorous research project. In an undergraduate dissertation, you therefore need to show a capacity to engage with a broad field of research, to synthesise diverse and even opposing approaches to a problem, and to distil this down into a design for a research project that will address your research questions with the appropriate level of scholarly level. The ability to synthesise what you've learned from scholars in your discipline, and to shape that into a methodology that you can use to shed light on your research question, is, therefore, key to a successful undergraduate dissertation. The best undergraduate dissertations will of course show originality of thought and may even be able to make an original contribution to their field – but the focus will generally be on demonstrating that you have the fundamental research skills to undertake investigative work in your field.

"The ability to synthesise what you've learned from scholars in your discipline, and to shape that into a methodology that sheds light on your research question, is key to a successful undergraduate dissertation."

A postgraduate dissertation , by contrast, can be expected to make a substantial contribution of high-quality, original research to its field. The best postgraduate dissertations will be publishable by leading journals, or even as scholarly monographs. As you build your career as an early career researcher, the impact of your dissertation on its field – as measured by citations in the work of other scholars – will be crucial to enhancing your academic reputation. It's important to remember that the dissertation's value to other scholars won't just be its findings or conclusions, and that your research's emerging importance to the field will be measured by the number of scholars who engage with it, not those who agree with it. Although some scholars may well cite your conclusions as a basis for their own work, a far greater number of citations is likely to result (regardless of discipline) from your development of a framework that other scholars can use as a point of departure for their own work. If you've come up with a methodology that is both original and grounded in the research, this will probably be the aspect of your work that other scholars value the most. Their own work might build upon, develop or modify your methodology in some way; they might apply your methodology to a different data set in order to contest your findings, or they might even take it and apply it in a new context that hadn't even occurred to you!

The best postgraduate dissertations are those that convince at every level – that are based on a rigorous engagement with the field, that develop reproducible frameworks for engaging with that field, and that supply high-quality and convincing results and conclusions. But the methodology is the central point around which the dissertation – and its potential impact to the field – pivots. When developing and presenting your dissertation methodology, you should therefore think not just about how well it can answer your particular question, but also about how transferable it is – whether it can be used by other scholars to answer related questions, or whether it can be made more adaptable with just a few tweaks (without compromising your own use of it, of course). And when presenting your dissertation, don't forget to emphasise the value of the methodological framework you develop, if it is indeed adaptable to other related contexts. You're underselling your research if you suggest its only value lies in its conclusions, when the approach it takes to your data or source material in arriving at those conclusions is potentially of equal if not greater value.

Presenting your methodology

Your dissertation methodology, as we've now discussed in some detail, is the engine that drives your dissertation, and as such it needs to be grounded, theoretically rigorous, and, where possible, sufficiently adaptable to be used in other contexts to answer different research questions within your field. However, in focusing on all this it's easy to forget that all dissertations – even the seemingly driest, most scientific of them – are fundamentally pieces of persuasive writing: their primary purpose is to convince readers of the quality of your research, the validity of your methods, and the merit of your conclusions. A crucial but often neglected component of this persuasive function is the role of rhetoric in persuading your audience of the merits of your work. Rhetoric has acquired something of a bad name in mainstream discourse (phrases like "pure rhetoric" or "empty rhetoric" tend to signify superficiality and/or dishonesty – and certainly nothing positive!) but it's an important component of all types of academic writing, and it's particularly valuable when you're attempting to convince your reader of the validity of a particular choice – like your choice of methodology.

In their seminal book on scholarly writing, "They Say / I Say": The Moves That Matter in Academic Writing , Gerald Graff and Cathy Birkenstein discuss what they call the art of metacommentary, "a way of commenting on your claims and telling others how – and how not – to think about them". This kind of commentary allows you to control the agenda for discussion of your work, and to head off potential objections to your arguments and methods at the pass. Sound rhetorical presentation of your methodology is not just "decoration" – it forms an integral part of its overall rigour and structural soundness, and can make the difference between a 2:1 and a First, or between a merit and a Distinction. Here are some of the ways in which you can use metacommentary to shape your audience's response to your methodology.

The roads not taken It's very likely that the approach you've taken to your research question is one of many approaches you could have taken – and in your literature review you probably engaged with or read about lots of approaches that, for one reason or another, you decided not to take. Your methodology chapter is not the place to go into detail about these methodologies (hopefully your literature review does this), but you should remind your reader that you actively considered these other methodologies before deciding on your own. Even if you decided on your methodology early on in your research process, it should appear rhetorically as the result of a careful weighing of competing factors, before you decided on the most logical choice.

A little reassurance goes a long way Judicious use of metacommentary can also help to make up for any shortcomings in your methodology section, or simply create a sense of balance between scholarly groundedness and innovation if your methodology might seem to veer a little too much in one direction or another. If your methodology takes a bold new step that some may find off-putting, you can acknowledge this whilst taking extra care to emphasise its grounded relationship to established work in the field. You might, for instance, ensure that you refer back to your literature review frequently and use phrases like, "This approach may seem like a significant departure from established approaches to this field, but it combines the proven data-gathering techniques of X with the statistical analysis model of Y, along with the following innovations". Conversely, if your methodology is mostly derivative or a synthesis of what has come before, use the opportunity to spell out why this synthesis is in itself innovative, for example, "This project's key innovation does not lie in its approach to human subjects or in the statistical models it employs, but rather in the combination of approach of theory X and approach Y to problem Z”.

Signposting Flagging what each section of an argument is doing is vital throughout the dissertation, but nowhere more so than in the methodology section. You can significantly strengthen the justification you provide for your dissertation methodology by referring back to your literature review and reminding your reader of conclusions you've drawn – and if you're feeling really confident you can gently hint to your readers that they agreed with you, using a formulation like, "As we have seen, method X is extremely useful for approaching questions related to Y, but less applicable to problem Z". You should be careful with this approach, of course – claiming you've proved something when this transparently isn't the case isn't going to bring your readers onside – but if your argumentation is already strong, rhetorical techniques like this can help underline the structural coherence of your work.

Defining your own terms If you don't define your own measures for success and failure, readers can infer from the overall structure of your argument the terms on which it was trying to succeed, and judge it accordingly. On the other hand, defining your own set of success criteria and help (within reason) helps to ensure that your readers evaluate your work on these terms. Again, your dissertation methodology is a critical space in which to establish these criteria: "This research does not make any claims about human social behaviour while consuming alcohol beyond the current context of X. It may, however, be possible to adapt the methodology to examine similar phenomena in contexts Y and Z”. By the same token, you can also prevent your readers from drawing unintended inferences from your work by anticipating them: "By adopting this methodology I am not suggesting that the statistical analysis of responses will be a reliable predictor of X; I do, however, believe that the strong correlation between Y and Z is in and of itself a valuable insight”.

In summary…

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What is the Methods Chapter?

This chapter provides information on what you did and how you did it over the course of your research. Essentially, this chapter will list the steps you followed to help you answer your research questions and determine the accuracy of your hypotheses. A goal to have in mind when you are writing this chapter is to be detailed enough so that a colleague reading through the steps of your study could replicate your research without needing additional information. It is important that as you write your methods section, you ensure alignment with other sections of your dissertation.

(Important note: Remember that in this chapter, you are not getting into your findings or the results from your study. This is only to explain the process you used to obtain these results)

Before you Begin

What tense should i use in this chapter.

By the time you are writing this chapter of your dissertation, you should have completed your research. Thus, you will write the methods chapter in past tense .

Organization

Consider organizing this chapter in the following manner: 1. Introductory paragraph including general research design and organization of chapter 2. Data collection methods (how did you gather your data?) 3. Data analysis methods (how did you analyze your data?)

1. What do I Include in my Introductory Paragraph?

As is the intent of any introduction paragraphs, this paragraph will provide your readers with context for the research you conducted and provide them with an understanding of what will follow it. Consider incorporating the following information:

Reference to the Aim: Consider starting this paragraph by referencing the overall aim/purpose of your research. Be careful not to go into too much detail about why this was your aim or why this purpose matters. This information will be added to other chapters. Here stick to one sentence.

Research Design Statement: In one to two sentences, describe the research design you used for this study. There are a variety of research design approaches; for additional support on this topic, see here. If you are using a specific type of quantitative or qualitative design (ex: quasi experimental, case study), consider also stating this in your introduction.

Quantitative

Study Information: Emailed a survey to 200 undergraduate educators who just finished teaching their first classes to determine how effective their program was at preparing them for the role itself.

Statement: This study used a cross-sectional survey design to assess how prepared first-time undergraduate educators felt after teaching their initial courses.

Qualitative

Study Information: Interviewed 35 students who participated in a study incorporating the wise intervention strategy to their feedback to determine perception of bias.

Statement: This study used a narrative research design to identify how the wise intervention strategy influenced the perception of bias in freshman students at the university level.

Organization of the Chapter: Add a statement or two describing what information the reader will find in this chapter and how it is organized.

2. What do I Include in the Data Collections Section?

This section will be dedicated to explaining to your readers how you collected the data that you needed in order to answer your research questions and verify the accuracy of your hypotheses (if applicable). The way you organize this information may vary, but ensure you have the following information available.

When explaining your sample, ensure you identify who the target population was, the size and demographics of your sample, the location of sample participants, and the sampling design you used to obtain your sample. Pay attention to justifying the rationale for the decisions you made in this section, and provide relevant citations to support these decisions.

(Note: For advice on how to avoid bias when referring to people or groups in this section, see this tutorial , for advice on selecting your sample, please see here ).

Instruments/Collection Method

In this section, you are both indicating the measures you used to answer your research questions and how they will measure the focus of your research (variables, cause-effect relationship, etc.). Data collection methods can include interviews, surveys, archival data, focus groups, ethnography, and much more. If you are using assessments or other instruments (ex: standardized interview protocols) as part of your data collection methods, information should be provided about the instruments themselves (reliability and validity in your population and in measuring your variables) and the relevancy for use in your study. For additional information on methods, please see here .

For qualitative research: Explain the appropriateness of the measure you chose (how did you ensure you were selecting the ‘best’ option?), the measurement characteristics of the instrument(s), and the administration and scoring of the measures. (See here for further information).

For qualitative research: Explain the training and practice of the observer, indicate instrument type (structured or unstructured), and include opening questions as well as examples of some sub-questions for your research. (Include the full set of questions used as an appendix). (See here for further information)

In this section, you will explain how you implemented your methods. Consider aspects such as what steps you took to contact your sample (or access your data), to gain their participation, to protect their anonymity/ensure confidentiality or any other ethical considerations you made, and how you administered the instruments.

(Note: If you provided participants with any documentation (recruitment letter, survey, etc., copies of these should be added as appendixes).

Example of a research project:

Study was conducted with undergraduate students to test the effectiveness of the wise interventional strategy approach in feedback on the perception of positive bias., some examples of what i would consider writing in this section include:.

Note: By the time you finish writing this section, your reader should be able to know when, where, and how you collected the data.

Step: Pre-contact

Information Included: How I chose the educator(s) I worked with, selected the classes (and when they ran), identified the assignment to use, created a benefit for student participant (extra credit/mandatory participation/etc.), information I needed to collect from the students, if the instructor would see the feedback provided to students, if I needed the school’s approval and the instructors or just the instructor, and more

Step: Contact

Information Included: How much information the educator provided to the students before the study (protect the validity of the results), how the students opted into the study

Step: Process

Information Included: How I set up the study so that the reviews of the assignments were blind reviews, how I protected student anonymity when providing feedback, how I stored the data, the timeline of providing feedback, the timeline of when students could submit revised versions for grading, the rubric used to assess grading, and how I collected revisions from the instructor.

3. What do I Include in My Data Analysis Section?

In this section, you will explain how you analyzed your data. Ensure that you are not getting into the results of what your analysis determined. You are only explaining how you analyzed the data in this section.

For quantitative research: Explain what you did prior to the analysis (did you have to sift through to remove any outliers, did you have to ensure you were not missing data, etc.), how you conducted the analysis (what software or tool did you use), what test did you use (T-test, linear regression, etc.), and what equation did you use within the test construct. Indicate what information that analysis provided you (ex: determining relationships, causal links).

For qualitative research: Explain what you did after collecting the responses from your participants. It is important that you outline the process you will use to analyze the data (ex: inductive analysis, discourse analysis), any coding methods, or tools that will be used to classify the data. Typically, people will transcribe their responses, identify a type of analysis (thematic, content, discourse), and code the information to determine patterns and relationships. It is also important to outline how the researcher will avoid bias in their analysis of the data.

Did I Include All of the Information I Need?

To double-check if you have added all of the information you need, please see this checklist as a guide. (Note: this is to help you self-assess in general but is not meant to be an exhaustive list – download to check off the boxes as you go). It is also a good idea to do one last check for alignment with your other chapters!

Please see the following tutorials created by methodologists to support you in the curation of this chapter. • How to Write the Methodology Section • Quantitative Studies: Methodology Considerations • Qualitative Studies: Methodology Considerations

• Study and research support
• Academic skills

Dissertation examples

Listed below are some of the best examples of research projects and dissertations from undergraduate and taught postgraduate students at the University of Leeds We have not been able to gather examples from all schools. The module requirements for research projects may have changed since these examples were written. Refer to your module guidelines to make sure that you address all of the current assessment criteria. Some of the examples below are only available to access on campus.

• Undergraduate examples
• Taught Masters examples

Human Subjects Office

July 2024 irb connection newsletter, irb efficiency initiatives and results to date, irb efficiency initiative: current and upcoming, herky hint: help messages, aahrpp accreditation: preparing for site visit interviews, course-related student projects: is irb approval required, learning opportunity: irb overview lecture in icon, in the news, upcoming educational events, irb efficiency initiative s and results to date, by kelly o’berry and michele countryman.

Beginning in January 2024, the Human Subjects Office (HSO) rolled out six major initiatives to improve Institutional Review Board (IRB) and Human Research Protection Program (HRPP) review processes. This article provides an evaluation of previous programming changes that were presented at the May IRB Efficiency Initiative Information Session .   

Here’s a brief overview of the initiatives and results to date:  

60-Day Withdrawal Due to PI Inactivity (effective 1/29/24): 1,059 New Project and Modification Forms submitted since implementation. Of these, 106 forms were withdrawn (10%), 17 were recreated, and 9 were resubmitted.  

DSP Approval Timing (effective mid-February 2024): The new process for faster signoffs from the Division of Sponsored Programs allowed the release of HRPP approvals an average of 48 days earlier ( 36 days median).  

Required Actions After the IRB Meeting (effective 4/1/24): the average time to provide the PI with required actions from IRB meeting minutes has gone from 9 days to less than 24 hours since April 1.   

Assign a Meeting Date Goal (effective 4/1/24): Limited data is available, but 71% of studies met the date goal. More in-depth information will be available after the June rollout that separated IRB review from HRPP Committee Approvals.   

60-Day Withdrawal Due to PI Inactivity (effective 1/29/24)  

HawkIRB forms are automatically withdrawn if there is no response to workflow in 60 days . This change will allow for more accurate metrics for IRB review time.   

In addition to the two-week reminders, a new 55-day HawkIRB email notice states that the form will be withdrawn in five days. The form in the PI’s inbox shows the number of days in Workflow over the total days since submission. At 55 days , the form is highlighted in red in the PIs inbox.   

Evaluation data for New Project forms and Modification forms:  

The 106 withdrawn forms represent a considerable timesaving for HSO staff reviewers. Most withdrawn forms have not been recreated and very few recreated forms have been submitted to the IRB.  

NOTE: For a withdrawn form, the PI can only use the “recreate” link once. It is best to hold off on recreating the form until all issues that were holding up the response to the workflow questions in the original form have been resolved.  

DSP Approval Timing (effective mid-February 2024)  

Division of Sponsored Programs (DSP) approval is required in HawkIRB for industry-initiated, industry-funded clinical trials where a research contract is required to document institution and sponsor expectations. The research application can be approved by the IRB, but not released to the study team until DSP approval is documented. In February, DSP updated their “contract approval” process for these industry-sponsored clinical trials. DSP approval used to be documented when the contract was fully executed; contract negotiations were complete, all signatures in place (institution, PI, and sponsor), and budget approved. Now DSP issues approval in HawkIRB when contract negotiations are complete, even if signatures and/or budget remain pending. This removed a significant delay in the HRPP approval process. Note: The PI must continue to work with the sponsor to obtain signatures and finalize the budget prior to initiating the research.  

This change affected 38 studies from mid-February to early June. Faster DSP sign off allowed the release of HRPP approvals 48 days earlier than the previous average. For these studies, the median turnaround for IRB approval was 36 days , which is considerably below the goal of a 45-day median from submission to approval for full board review.  

Assign a Meeting Date Goal (effective 4/1/24)  

Application Analysts can now set an IRB meeting date goal, and a due date for meeting this goal, at the beginning of the IRB review process.   

NOTE: There were several limiting factors for evaluation of this change. IRB meeting agendas were full through April 22 when this change took effect on April 1. The first New Project form included in this evaluation was submitted on April 2 and scheduled to a meeting on May 9. This evaluation is based on data from early May through mid-June.  

Also, when this change took effect the hold for three Human Research Protection Program (HRPP) committees prevented scheduling forms to an IRB meeting. The IRB Efficiency Initiative rollout on June 14, 2024, lifted this hold by separating the IRB and HRPP Committee approvals. Future data will provide a more in-depth evaluation.  

Required Actions After the IRB Meeting (effective 4/1/24)  

HSO staff can now provide required actions to the PI shortly after the IRB meeting, which gives the PI/research team a head start to address required actions before receiving the full set of IRB meeting minutes.   

Before April 1, 2024, the average time to provide required actions to the PI in the full meeting minutes was 9 days. The goal is to provide required actions within 24 hours and the full set of meeting minutes within four business days.   

Of 167 sets of meeting minutes completed between April 1 and mid-June, HSO staff effectively decreased the average time to provide required actions to the PI to less than 24 hours. The research community has provided positive feedback about this change.    

Seventeen sets of minutes (10%) did not meet the goal due to the complexity of the issues the board discussed. Approximately half of these minutes were from a monthly IRB-01 Executive Committee meeting. The Executive Committee reviews more complex study design and compliance-related issues.  

IRB Efficiency Initiative Announcements and Updates  

See IRB Efficiency Initiative Announcements and Updates for information about o ther initiatives that are in progress or have been implemented since June 2024, including: launching the new HSO website , adding a chair designee to assist with IRB-02 post-approval forms, onboarding a new IRB-02 chair, Primary Reviewer process enhancements and more.  

By Kelly O’Berry and Michele Countryman  

The IRB Efficiency Initiative rollout in June 2024 separated IRB review and approval from the other Human Research Protection Program (HRPP) committee approvals. This article provides an overview of that change and a summary of other initiatives in progress, updated documents, policies and procedures and information session/demonstration recordings.  

Separate IRB and HRPP Committee Approvals - June 2024 Rollout  

HawkIRB programming changes rolled out June 14, 2024, separated IRB review and approval from other HRPP Committee approvals. Prior to this change, the IRB could not begin the convened board review process until the issuance of approval from three committees/entities: Conflict of Interest in Research (CIRC) , Protocol Review and Monitoring Committee (PRMC, in Holden Comprehensive Cancer Center) , and Research Billing Compliance (RBC) . The HSO can now schedule a New Project or Modification form to a convened IRB meeting before the completion of these HRPP committee reviews/approvals.   

The second programming change allows the IRB to grant full IRB approval before the issuance of all HRPP approvals. Prior to this efficiency initiative, the IRB would hold approval pending approval from these additional HRPP committees: Pharmacy & Therapeutics (P&T) , Medical Radiation and Protection Committee (MRPC) , Institutional Biosafety Committee and Nursing Research Committee (NRC) . Additionally, the IRB can now grant approval before the Division of Sponsored Programs (DSP) signs off on the grant or contract.  

The Principal Investigator (PI) can now submit a Modification form in HawkIRB to address requests from HRPP Committees that complete their review after the IRB approves the New Project form. The New Project form is released when the Modification form is approved and released in HawkIRB.  

Several documents, policies and procedures were updated or added in June. See a detailed list at the end of this article .  

What’s Next for the IRB Efficiency Initiative?  

The following initiatives are in progress or have already been implemented since the June IRB Efficiency Initiative Information Session:  

New IRB review and approval structure for IRB-02 (social/behavioral research) – Effective at the start of Fiscal Year 2025, we added an IRB Chair Designee to assist with approval of post approval forms (e.g., Modification, Continuing Review, or Modification/Continuing Review) meeting an expedited or exempt criteria for approval. This enhancement is consistent with a long-standing IRB-01 review structure and is consistent with IRB practices across the nation. The new IRB-02 Chair Designee is an experienced IRB member who is already serving as an IRB-01 Chair Designee.  

New IRB-02 Chair – The new IRB-02 Chair, an experienced IRB member, will begin onboarding and training in August as part of succession planning for IRB-02 Chairs.  

Primary Reviewer process enhancements for full board review – HawkIRB programming is underway to update the Primary Reviewer Checklist used at convened board meetings and enhance the training process for Primary Reviewers.  

HawkIRB Application Redesign – This initiative to streamline the HawkIRB application began with the rollout of Section III updates on January 29, 2024. The goal is to make forms easier for researchers to complete and more efficient for the IRB review. This is a continuation of the 2022-2023 initiative to update the HawkIRB form for projects that qualify for Exempt Status. The next HawkIRB application redesign rollout will focus on updates to the single IRB review process. This is in preparation for the anticipated FDA adoption of the revised Common Rule regulations regarding the use of a single IRB for multi-site projects.  

New HSO website – The new HSO website is now live! HSO staff are still making final tweaks and corrections to URLs. It will take time for search engines to only identify pages of the new website. Use the gold buttons on the home page and the menu options to find what you need. We welcome your feedback. For assistance with finding anything on the new website or to provide feedback, please contact us at [email protected].   

AAHRPP Accreditation Site Visit – 2024-2025 is our HRPP reaccreditation period and will involve a significant amount of HSO time and resources. There are two steps in the reaccreditation process. The UI is currently at Step I; the initial application was submitted in March, and we are currently responding to AAHRPP review of submission materials. Step II is the site visit which will occur this fall. The site visit includes interviews with select PIs and research staff. See February through July IRB Connection Newsletter articles for additional information about accreditation and preparing for the site visit.  

Announcements and Updated Resources  

The following documents were updated or added during the June IRB Efficiency Initiative rollout:   

New Resources:  

Other HRPP Committee Tool – Includes an organizational chart, information about each committee and when their review is required, and regulatory references for these reviews. [Link at end of first paragraph]  

HRPP Committee Review Process Flow Chart – Illustrates the timing of steps in the IRB review process and HRPP committee approvals. [Link in first sentence of the second full paragraph]  

UI IRB Standard Operating Procedures and Researcher Guide    

Updated Policies and Procedures:  

External IRB Standard Operating Procedures    

VA Researcher Guide  

May 2024 IRB Efficiency Initiative Information Session (recording)  

Trainings and Demos:  

HawkIRB demo: Separating IRB and HRPP Committee Approvals (recording)  

WCG Training (recording, June 19, 2024)  

IRB ICON Course for Researchers – Slides, recordings, demo recordings and instruction documents  

Herky Hint: Help Messages  

By rachel kinker, mpa.

Are you working on your HawkIRB application and not sure how to answer a particular question? Within the application, there are little blue circles with “i” (for “information”) associated with most of the questions in the HawkIRB application.   

For example, the Help Message on the index page provides a lot of information:  

Overview of the HawkIRB system  

Template Consent Forms and Other Attachments  

Resources for assistance with preparing HawkIRB applications  

About the Help Messages  

Resources on the Human Subjects Office website  

Principal Investigator (PI) Responsibilities  

HawkIRB Delegates  

Guidance for Community-Based Research  

Throughout the application, other Help Messages provide guidance for what information to include in response to specific questions in the HawkIRB form. When you click on the Help Message, a new window will appear with additional text describing what to include in the response to each question.   

For example, in section VII.E., each Help Message describes what to submit and how to respond to the question.   

The Help Messages may also contain links to other departments that you may need to connect with or specific policies you should know. For example, the cash handling policy appears in the Help Message for question VII.E.9  

Utilizing the Help Messages throughout the application can answer researcher questions along the way and may expedite the application process by reducing workflow. If you have suggestions for how to improve the existing Help Messages, please contact [email protected].  

AAHRPP Accreditation: Preparing for Site Visit Interviews    

By emily shultz, cip  .

The Human Subjects Office (HSO) is preparing for the Association for the Accreditation of Human Research Protection Programs (AAHRPP) site visit that will take place in late summer/early fall 2024. The University of Iowa Human Research Protection Program (HRPP) has maintained accreditation since 2003. The practice of becoming accredited and maintaining accreditation is one of receiving input on how well the UI is following policies and procedures, and how well these policies and procedures meet the accreditation standards.  

About six weeks prior to the site visit, AAHRPP staff will send an email that contains:  

the names of the site visit team members,  

a draft agenda for the site visit,   

a list of personnel who will be interviewed.   

During the virtual site visit, the site visitors will meet (via Zoom) with small groups of HSO staff, IRB Chairs, IRB members, UI researchers and UI research team members, as well as members of committees with research oversight responsibilities, such as:  

Medical Radiation Protection Committee  

Pharmacy & Therapeutics Committee  

Institutional Biosafety Committee  

Nursing Research Committee  

Division of Sponsored Programs  

Conflicts of Interest in Research Committee  

The interviews are typically done with two site visitors and 2 or 3 interviewees. Most interview time is with the IRB chairs, IRB members, and staff.   

Utilizing the documents submitted with the application for reaccreditation and the information gathered during the site visit, AAHRPP site visitors will look for evidence that, “the entire HRPP meets accreditation standards—and that protecting research participants is a shared organizational priority.” A month or two after the site visit, the HSO will receive feedback on how well the UI HRPP is meeting the requirements and will receive recommendations on areas where improvements can be made.  

Site Visit Interviews  

Andy Bertolatus , emeritus associate professor of internal medicine and one of the UI IRB-01 chairs, has been an AAHRPP site visitor for more than 20 years. The following information is based on insights he provided, in addition to information available from AAHRPP.  

When site visitors meet with members of the research community, they do not expect anyone to be able to recite federal regulations on the required elements of consent or the criteria for approval. When interviewing researchers, the site visitors will likely ask questions about the researcher’s:  

Areas of expertise and type(s) of research conducted   

Approach to conducting the consent processes   

Feelings about working with the IRB  

How they find out about changes in IRB policies/procedures  

Where they go for information or whom they contact for questions  

Resources Available  

For the UI research community, many resources are available online. These include, but are not limited to the following:  

UI IRB Standard Operating Procedures and Researcher Guide  

Human Subjects Office (HSO) website  

Conflict of Interest in Research website  

HHS Electronic Code of Federal Regulations 45 CFR 46   

OHRP Guidance  

FDA Regulations Part 50  

FDA Regulations Part 56  

FDA Guidance  

This is the final article in the AAHRPP Accreditation series. Previous articles are available on the HSO website IRB Connection page . Information for this article was adapted from the AAHRPP website .  

Course-Related Student Projects: Is IRB Approval Required?  

Students may conduct some research projects with human participants as a course assignment without approval from the Institutional Review Board (IRB). According to the UI and IRB policies, all human subjects research conducted by University of Iowa faculty, staff, or students must have approval from the IRB prior to initiation. IRB review is required if the project is intended to “develop or contribute to generalizable knowledge,” including thesis or dissertation projects. However, research methods course projects are generally more limited in scope and are intended to help students learn how to conduct research. These projects satisfy curriculum requirements and are not intended to further scientific knowledge in a particular field or discipline.  

IRB Approval Not Required  

Course-related research activities would not require IRB approval if:  

The purpose of the assignment is to teach research methodology.  

The results of the assignment will not “contribute to generalizable knowledge” because they are only used to satisfy a course requirement or because of limits on who will have access to the results of the project.  

The procedures will be limited to surveys, questionnaires, interview procedures, observation of public behavior, or standard educational exercises.  

The projects will not include people who are incarcerated or minors as participants or utilize data about these two populations.  

Data will be recorded without any identifying information (such as code numbers, birth dates, etc.) or identified data are not sensitive in nature (i.e., do not pose a risk of harm to the participants’ reputation, employment, financial standing, or do not put them at risk for criminal or civil liability).  

The project is not receiving monetary compensation or direct financial support from an external company, organization, or agency.  

The project will not be conducted at the Veteran’s Administration Health Care System (VAHCS) or use any VA resources.  

The project is not conducted or supported by a federal department or agency that follows the federal regulations for the protection of human subjects (the ‘Common Rule’).  

NOTE: Honors, master’s, and doctoral thesis and dissertation projects always require IRB approval if they involve research with human subjects. If any aspect of the class project is intended to be used for a thesis or dissertation, students must obtain IRB approval prior to any study activities (recruitment, data collection, etc.).  

Policy and Checklist  

The “Course-Related Student Project” policy specifies the parameters for class projects that can be conducted without IRB approval and contains a link to the Course-Related Student Projects Checklist .  

The checklist is a fillable pdf that helps students and instructors determine whether a project qualifies as a course-related student project. If any aspect of the project design indicates that IRB approval might be required, a pop-up message directs the student to submit a Human Subjects Research Determination (HSRD) form in the HawkIRB system to ask if the project needs IRB approval. If that occurs, there will be a red STOP on the completed checklist.  

Students should complete the Course-Related Student Project Checklist based on their project design and submit it to the instructor. Based on the completed Checklist, the instructor is authorized to determine that a project complies with the policy and can be conducted without IRB approval. If there is a red STOP in the Checklist, the instructor should advise the student to submit an HSRD form and receive a determination before conducting any research activities.  

The policy and the checklist can be found in the UI Standard Operating Procedures and Researcher Guide ( Section I, Part 12.D). See also the Course Instructor Responsibilities for using the Course-Related Student Project policy and checklist.  

Information for Participants  

Even when a course-related student project can be conducted without IRB approval, it is a recommended best-practice that the student share the following information with potential subjects:  

Student name and name of the course  

Course instructor name and their contact information  

Who will have access to individual and summarized results (e.g., instructor, group/team members, the whole class, an outside company/agency/organization)  

That participation is voluntary, and they may stop participating at any time.  

Resources  

For more information, students and instructors may review the Course-Related Student Research Projects web page  and the Course-Related Student Research Projects Policy and Procedures educational tool the Human Subjects Office website.  

(link sends e-mail)

Learning Opportunity: IRB Overview lecture in ICON  

By rachel kinker, mpa  .

Do you work with or teach individuals who are new to the University of Iowa and learning to conduct human subjects research? The recorded IRB Overview presentation posted in the IRB ICON Course for Researchers provides a general orientation to the UI IRB and the IRB approval requirements for human subjects research.   

This is an excellent supplemental lecture for any research methods or responsible conduct of research course. It is also ideal for students doing research as a course requirement. Learners must access the IRB ICON course through the portal on the HSO website . After the first login, the course will appear in your ICON Dashboard.  

This presentation covers:  

Regulatory definition of human subjects research  

Guidelines for human subjects research: why and when IRB approval is required  

Basic ethical principles for the conduct of human subjects research  

Student Principal Investigator (PI) training requirements (HawkIRB Part 1 and 2 trainings)  

Criteria for IRB approval  

Information about the UI IRB  

What to expect from the IRB review process  

Research off campus or outside the United States  

Course-related student projects   

Additional resources exist for courses where students complete a research project as a course requirement. The IRB policy on Course Related Student Projects outlines conditions under which IRB approval is not required for these projects. Instructors should use the Course Related Student Project Checklist to determine whether IRB approval may be required.  

If your class needs further guidance on specific research-related topics, please reach out to [email protected] to discuss additional options.   

NIH researchers discover a new face-detecting brain circuit – NIH  

• This is What Drives the Migraine Headache': Scientists uncover 'missing link' in why some migraines happen – Live Science  
• Implantable Microphone could lead to fully internal cochlear implants – Science Daily  
• Scientists Discover New T cells and genes related to immune disorders – Science Daily  
• Keeping us young? Grandchild caregiving and older adults' cognitive functioning - Newswise  

IRB Efficiency Initiative Information Session

The Human Subjects Office invites the UI research community to attend monthly information sessions about the IRB Efficiency Initiative on the fourth Wednesday of the month from 12-1 pm, via Zoom. We will discuss the changes and demonstrate HawkIRB enhancements being implemented to streamline the IRB review process. The monthly sessions will cover upcoming enhancements and expected roll out dates. Pre-register to receive the Zoom link.  

Wednesday, August 28, 2024  

12:00 PM-1:00 PM  

Pre-register to recieve the Zoom link  

Office Hours  

Human Subjects Office staff host IRB Office Hours via Zoom to provide assistance with electronic IRB applications (in HawkIRB) and to discuss study proposals prior to submission.  All researchers are welcome to attend. No appointment is necessary.  

Summer office hours run June 5th through August 28th.  

Wednesdays (2:00 PM-4:00 PM) via Zoom  

Visit the Human Subjects Office website for complete information about IRB Office Hours and the Zoom link.  

Recorded Training  

The IRB ICON Course for Researchers HawkIRB training sessions provide an orientation to the electronic IRB application and review system. These sessions are for anyone preparing to submit a HawkIRB application for the first time and for those who would like guidance about the proper completion of HawkIRB forms. Five recorded trainings are available 24/7.   

The recorded trainings are available on ICON at IRB ICON Course for Researchers .   

Note: HawkIRB training Parts 1 and 2 satisfy the Student PI Training Requirement.