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How To Choose Your Research Methodology

By: Derek Jansen (MBA). Expert Reviewed By: Dr Eunice Rautenbach | June 2021

Overview: Choosing Your Methodology

Understanding the options – Qualitative research – Quantitative research – Mixed methods-based research

Choosing a research methodology – Nature of the research – Research area norms – Practicalities

1. Understanding the options

Before we jump into the question of how to choose a research methodology, it’s useful to take a step back to understand the three overarching types of research – qualitative , quantitative and mixed methods -based research. Each of these options takes a different methodological approach.

Qualitative research utilises data that is not numbers-based. In other words, qualitative research focuses on words , descriptions , concepts or ideas – while quantitative research makes use of numbers and statistics. Qualitative research investigates the “softer side” of things to explore and describe, while quantitative research focuses on the “hard numbers”, to measure differences between variables and the relationships between them.

Importantly, qualitative research methods are typically used to explore and gain a deeper understanding of the complexity of a situation – to draw a rich picture . In contrast to this, quantitative methods are usually used to confirm or test hypotheses . In other words, they have distinctly different purposes. The table below highlights a few of the key differences between qualitative and quantitative research – you can learn more about the differences here.

• Uses an inductive approach
• Is used to build theories
• Takes a subjective approach
• Adopts an open and flexible approach
• The researcher is close to the respondents
• Interviews and focus groups are oftentimes used to collect word-based data.
• Generally, draws on small sample sizes
• Uses qualitative data analysis techniques (e.g. content analysis , thematic analysis , etc)
• Uses a deductive approach
• Is used to test theories
• Takes an objective approach
• Adopts a closed, highly planned approach
• The research is disconnected from respondents
• Surveys or laboratory equipment are often used to collect number-based data.
• Generally, requires large sample sizes
• Uses statistical analysis techniques to make sense of the data

Mixed methods -based research, as you’d expect, attempts to bring these two types of research together, drawing on both qualitative and quantitative data. Quite often, mixed methods-based studies will use qualitative research to explore a situation and develop a potential model of understanding (this is called a conceptual framework), and then go on to use quantitative methods to test that model empirically.

In other words, while qualitative and quantitative methods (and the philosophies that underpin them) are completely different, they are not at odds with each other. It’s not a competition of qualitative vs quantitative. On the contrary, they can be used together to develop a high-quality piece of research. Of course, this is easier said than done, so we usually recommend that first-time researchers stick to a single approach , unless the nature of their study truly warrants a mixed-methods approach.

The key takeaway here, and the reason we started by looking at the three options, is that it’s important to understand that each methodological approach has a different purpose – for example, to explore and understand situations (qualitative), to test and measure (quantitative) or to do both. They’re not simply alternative tools for the same job. 

Right – now that we’ve got that out of the way, let’s look at how you can go about choosing the right methodology for your research.

2. How to choose a research methodology

To choose the right research methodology for your dissertation or thesis, you need to consider three important factors . Based on these three factors, you can decide on your overarching approach – qualitative, quantitative or mixed methods. Once you’ve made that decision, you can flesh out the finer details of your methodology, such as the sampling , data collection methods and analysis techniques (we discuss these separately in other posts ).

The three factors you need to consider are:

• The nature of your research aims, objectives and research questions
• The methodological approaches taken in the existing literature
• Practicalities and constraints

Let’s take a look at each of these.

Factor #1: The nature of your research

As I mentioned earlier, each type of research (and therefore, research methodology), whether qualitative, quantitative or mixed, has a different purpose and helps solve a different type of question. So, it’s logical that the key deciding factor in terms of which research methodology you adopt is the nature of your research aims, objectives and research questions .

But, what types of research exist?

Broadly speaking, research can fall into one of three categories:

• Exploratory – getting a better understanding of an issue and potentially developing a theory regarding it
• Confirmatory – confirming a potential theory or hypothesis by testing it empirically
• A mix of both – building a potential theory or hypothesis and then testing it

As a rule of thumb, exploratory research tends to adopt a qualitative approach , whereas confirmatory research tends to use quantitative methods . This isn’t set in stone, but it’s a very useful heuristic. Naturally then, research that combines a mix of both, or is seeking to develop a theory from the ground up and then test that theory, would utilize a mixed-methods approach.

Let’s look at an example in action.

If your research aims were to understand the perspectives of war veterans regarding certain political matters, you’d likely adopt a qualitative methodology, making use of interviews to collect data and one or more qualitative data analysis methods to make sense of the data.

If, on the other hand, your research aims involved testing a set of hypotheses regarding the link between political leaning and income levels, you’d likely adopt a quantitative methodology, using numbers-based data from a survey to measure the links between variables and/or constructs .

So, the first (and most important thing) thing you need to consider when deciding which methodological approach to use for your research project is the nature of your research aims , objectives and research questions. Specifically, you need to assess whether your research leans in an exploratory or confirmatory direction or involves a mix of both.

The importance of achieving solid alignment between these three factors and your methodology can’t be overstated. If they’re misaligned, you’re going to be forcing a square peg into a round hole. In other words, you’ll be using the wrong tool for the job, and your research will become a disjointed mess.

If your research is a mix of both exploratory and confirmatory, but you have a tight word count limit, you may need to consider trimming down the scope a little and focusing on one or the other. One methodology executed well has a far better chance of earning marks than a poorly executed mixed methods approach. So, don’t try to be a hero, unless there is a very strong underpinning logic.

Need a helping hand?

Factor #2: The disciplinary norms

Choosing the right methodology for your research also involves looking at the approaches used by other researchers in the field, and studies with similar research aims and objectives to yours. Oftentimes, within a discipline, there is a common methodological approach (or set of approaches) used in studies. While this doesn’t mean you should follow the herd “just because”, you should at least consider these approaches and evaluate their merit within your context.

A major benefit of reviewing the research methodologies used by similar studies in your field is that you can often piggyback on the data collection techniques that other (more experienced) researchers have developed. For example, if you’re undertaking a quantitative study, you can often find tried and tested survey scales with high Cronbach’s alphas. These are usually included in the appendices of journal articles, so you don’t even have to contact the original authors. By using these, you’ll save a lot of time and ensure that your study stands on the proverbial “shoulders of giants” by using high-quality measurement instruments .

Of course, when reviewing existing literature, keep point #1 front of mind. In other words, your methodology needs to align with your research aims, objectives and questions. Don’t fall into the trap of adopting the methodological “norm” of other studies just because it’s popular. Only adopt that which is relevant to your research.

Factor #3: Practicalities

When choosing a research methodology, there will always be a tension between doing what’s theoretically best (i.e., the most scientifically rigorous research design ) and doing what’s practical , given your constraints . This is the nature of doing research and there are always trade-offs, as with anything else.

But what constraints, you ask?

When you’re evaluating your methodological options, you need to consider the following constraints:

• Data access
• Equipment and software
• Your knowledge and skills

Let’s look at each of these.

Constraint #1: Data access

The first practical constraint you need to consider is your access to data . If you’re going to be undertaking primary research , you need to think critically about the sample of respondents you realistically have access to. For example, if you plan to use in-person interviews , you need to ask yourself how many people you’ll need to interview, whether they’ll be agreeable to being interviewed, where they’re located, and so on.

If you’re wanting to undertake a quantitative approach using surveys to collect data, you’ll need to consider how many responses you’ll require to achieve statistically significant results. For many statistical tests, a sample of a few hundred respondents is typically needed to develop convincing conclusions.

So, think carefully about what data you’ll need access to, how much data you’ll need and how you’ll collect it. The last thing you want is to spend a huge amount of time on your research only to find that you can’t get access to the required data.

Constraint #2: Time

The next constraint is time. If you’re undertaking research as part of a PhD, you may have a fairly open-ended time limit, but this is unlikely to be the case for undergrad and Masters-level projects. So, pay attention to your timeline, as the data collection and analysis components of different methodologies have a major impact on time requirements . Also, keep in mind that these stages of the research often take a lot longer than originally anticipated.

Another practical implication of time limits is that it will directly impact which time horizon you can use – i.e. longitudinal vs cross-sectional . For example, if you’ve got a 6-month limit for your entire research project, it’s quite unlikely that you’ll be able to adopt a longitudinal time horizon.

Constraint #3: Money

As with so many things, money is another important constraint you’ll need to consider when deciding on your research methodology. While some research designs will cost near zero to execute, others may require a substantial budget .

Some of the costs that may arise include:

• Software costs – e.g. survey hosting services, analysis software, etc.
• Promotion costs – e.g. advertising a survey to attract respondents
• Incentive costs – e.g. providing a prize or cash payment incentive to attract respondents
• Equipment rental costs – e.g. recording equipment, lab equipment, etc.
• Travel costs
• Food & beverages

These are just a handful of costs that can creep into your research budget. Like most projects, the actual costs tend to be higher than the estimates, so be sure to err on the conservative side and expect the unexpected. It’s critically important that you’re honest with yourself about these costs, or you could end up getting stuck midway through your project because you’ve run out of money.

Constraint #4: Equipment & software

Another practical consideration is the hardware and/or software you’ll need in order to undertake your research. Of course, this variable will depend on the type of data you’re collecting and analysing. For example, you may need lab equipment to analyse substances, or you may need specific analysis software to analyse statistical data. So, be sure to think about what hardware and/or software you’ll need for each potential methodological approach, and whether you have access to these.

Constraint #5: Your knowledge and skillset

The final practical constraint is a big one. Naturally, the research process involves a lot of learning and development along the way, so you will accrue knowledge and skills as you progress. However, when considering your methodological options, you should still consider your current position on the ladder.

Some of the questions you should ask yourself are:

• Am I more of a “numbers person” or a “words person”?
• How much do I know about the analysis methods I’ll potentially use (e.g. statistical analysis)?
• How much do I know about the software and/or hardware that I’ll potentially use?
• How excited am I to learn new research skills and gain new knowledge?
• How much time do I have to learn the things I need to learn?

Answering these questions honestly will provide you with another set of criteria against which you can evaluate the research methodology options you’ve shortlisted.

So, as you can see, there is a wide range of practicalities and constraints that you need to take into account when you’re deciding on a research methodology. These practicalities create a tension between the “ideal” methodology and the methodology that you can realistically pull off. This is perfectly normal, and it’s your job to find the option that presents the best set of trade-offs.

Recap: Choosing a methodology

In this post, we’ve discussed how to go about choosing a research methodology. The three major deciding factors we looked at were:

• Exploratory
• Confirmatory
• Combination
• Research area norms
• Hardware and software
• Your knowledge and skillset

If you have any questions, feel free to leave a comment below. If you’d like a helping hand with your research methodology, check out our 1-on-1 research coaching service , or book a free consultation with a friendly Grad Coach.

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11 Comments

Very useful and informative especially for beginners

Nice article! I’m a beginner in the field of cybersecurity research. I am a Telecom and Network Engineer and Also aiming for PhD scholarship.

I find the article very informative especially for my decitation it has been helpful and an eye opener.

Hi I am Anna ,

I am a PHD candidate in the area of cyber security, maybe we can link up

The Examples shows by you, for sure they are really direct me and others to knows and practices the Research Design and prepration.

I found the post very informative and practical.

I struggle so much with designs of the research for sure!

I’m the process of constructing my research design and I want to know if the data analysis I plan to present in my thesis defense proposal possibly change especially after I gathered the data already.

Thank you so much this site is such a life saver. How I wish 1-1 coaching is available in our country but sadly it’s not.

Thank you very much for this inspiring and eye-opening post. I have a model for research methodology–CEC = Confirmatory, Explanatory, and Combination. Please, I am working on a research topic, “Impact of PhET Simulations on the Performance and Interest of Junior Secondary School in Elementary Algebra: A case study of XYZ School.” Please, I have decided to use a Quasi-Experimental Design and hoping to use mixed method for data analysis. Is this a correct decision.

I want to sincerely thank you for the invaluable guidance you provided in helping me choose the right research method. Your insights made a significant difference in my understanding and confidence moving forward. I truly appreciate your support!

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Home » Research Methodology – Types, Examples and writing Guide

Research Methodology – Types, Examples and writing Guide

Table of Contents

Research methodology is the backbone of any scientific or academic study, outlining the specific strategies and tools used to collect, analyze, and interpret data. A well-defined research methodology ensures that a study is conducted systematically, yielding reliable and valid results. This article explores the concept of research methodology, its various types, practical examples, and a step-by-step guide to writing a methodology section.

Research Methodology

Research methodology refers to the systematic plan and approach employed in a study to answer research questions or test hypotheses. It defines the tools, techniques, and procedures used to collect and analyze data, ensuring the research is structured and replicable.

For example, a study exploring the impact of remote learning on student performance might use surveys to collect data and statistical analysis to evaluate the findings.

Importance of Research Methodology

• Clarity and Focus: Provides a clear roadmap for the study, ensuring alignment with research objectives.
• Reliability: Ensures the study’s results can be replicated and trusted.
• Validity: Confirms that the methods used are appropriate for answering the research questions.
• Transparency: Allows others to evaluate the study’s credibility and rigor.
• Adaptability: Enables adjustments to the research process if unforeseen challenges arise.

Research Methodology Structure

1. introduction.

The introduction provides an overview of the research methodology, explaining its purpose and relevance to the study. It briefly outlines the chosen approach (qualitative, quantitative, or mixed methods) and justifies its suitability for addressing the research questions or hypotheses.

• Example: “This research employs a mixed-methods approach to explore the impact of remote work on employee productivity, combining quantitative surveys and qualitative interviews to gain a comprehensive understanding of the phenomenon.”

2. Research Design

This section describes the overall framework or design of the study. Common research designs include experimental, descriptive, correlational, or exploratory. The design should align with the research objectives and questions.

• Type of design (e.g., experimental, case study, longitudinal).
• Justification for the selected design.
• Example: “A descriptive research design was chosen to investigate patterns of online shopping behavior among millennials during the pandemic.”

3. Data Collection Methods

Detail the methods and tools used to gather data. This includes the type of data (primary or secondary) and the specific techniques employed.

• Data sources (e.g., surveys, interviews, observations, archival records).
• Instruments or tools used (e.g., questionnaires, scales, software).
• Procedures for data collection.
• Example: “Primary data was collected through structured questionnaires distributed online, while secondary data was sourced from industry reports and previous research studies.”

4. Sampling

Explain the sampling method used to select participants or data points for the study. Include the sample size, criteria for inclusion or exclusion, and sampling technique.

• Sampling population.
• Sampling technique (e.g., random, stratified, purposive).
• Rationale for the chosen sample size.
• Example: “A stratified random sampling method was employed to ensure representation across age groups. The final sample comprised 200 participants aged 18–60.”

5. Data Analysis Techniques

Describe the techniques or tools used to analyze the collected data. This section should differentiate between qualitative and quantitative data analysis methods.

• Quantitative analysis: statistical tools (e.g., SPSS, regression analysis).
• Qualitative analysis: thematic analysis, coding, or content analysis.
• Software or tools used (e.g., NVivo, Excel, Python).
• Example: “Quantitative data was analyzed using SPSS software for descriptive and inferential statistics, while qualitative data was thematically coded using NVivo to identify recurring patterns.”

6. Ethical Considerations

Discuss the ethical measures taken to ensure participant safety and data integrity. Ethical considerations reflect the study’s adherence to moral and professional standards.

• Informed consent from participants.
• Confidentiality and data security.
• Approval from an institutional review board (IRB).
• Example: “All participants provided informed consent, and their anonymity was ensured by assigning unique identification codes. The study was approved by the Institutional Review Board (IRB) at XYZ University.”

7. Limitations of the Methodology

Acknowledge any methodological limitations that may affect the validity or reliability of the results.

• Constraints such as sample size, geographic scope, or time frame.
• Potential biases or challenges.
• Example: “The study’s primary limitation was the reliance on self-reported data, which may be subject to response bias.”

8. Justification of Methodology

Provide a rationale for choosing specific methods and tools over alternatives. This reinforces the credibility of the methodology and its alignment with research objectives.

• Explanation of why chosen methods are appropriate.
• Comparison with other possible methods.
• Example: “The mixed-methods approach was selected to capture both numerical trends and in-depth personal experiences, ensuring a holistic understanding of the research problem.”

9. Operational Definitions (Optional)

Define key terms or concepts used in the study to ensure clarity and consistency.

Example: “For this study, ‘remote work productivity’ refers to the number of tasks completed within standard working hours, as self-reported by participants.”

Types of Research Methodology

1. qualitative research methodology.

Qualitative methodology focuses on understanding human experiences, behaviors, and social phenomena. It uses non-numerical data and is often exploratory.

• Subjective and descriptive.
• Data collected through interviews, focus groups, or observations.
• Analyzes themes, patterns, and narratives.
• Example: A study exploring teachers’ perceptions of remote learning challenges during the COVID-19 pandemic.

2. Quantitative Research Methodology

Quantitative methodology focuses on measuring and analyzing numerical data to test hypotheses or answer research questions. It is often used for studies requiring statistical analysis.

• Objective and structured.
• Data collected through surveys, experiments, or secondary datasets.
• Statistical methods used for data analysis.
• Example: Examining the relationship between study hours and academic performance among high school students.

3. Mixed Methods Research Methodology

Mixed methods combine qualitative and quantitative approaches to provide a comprehensive understanding of a research problem.

• Integrates numerical data with detailed narratives.
• Offers both breadth and depth in analysis.
• Often uses sequential or concurrent designs.
• Example: Investigating how healthcare workers perceive telemedicine (qualitative) and evaluating patient satisfaction scores (quantitative).

4. Descriptive Research Methodology

Descriptive research aims to describe characteristics, phenomena, or trends in a specific population or setting.

• Non-experimental.
• Data collected through surveys, case studies, or observations.
• Focuses on “what” rather than “why” or “how.”
• Example: Surveying college students to understand their preferred learning platforms.

5. Experimental Research Methodology

Experimental research investigates cause-and-effect relationships by manipulating variables and observing outcomes.

• Involves control and experimental groups.
• Uses randomization to reduce bias.
• Common in natural and social sciences.
• Example: Testing the effectiveness of a new drug on reducing symptoms compared to a placebo.

6. Correlational Research Methodology

Correlational research examines the relationship between two or more variables without manipulating them.

• Identifies positive, negative, or no correlation.
• Cannot establish causation.
• Data often collected through surveys or secondary datasets.
• Example: Analyzing the correlation between screen time and sleep quality among teenagers.

Examples of Research Methodology

1. education.

• Topic: The effectiveness of project-based learning on student engagement.
• Methodology: Mixed methods involving student surveys (quantitative) and teacher interviews (qualitative).

2. Healthcare

• Topic: The impact of physical activity on managing type 2 diabetes.
• Methodology: Quantitative approach using clinical trials to measure blood glucose levels.

3. Business

• Topic: Factors influencing employee job satisfaction in remote work environments.
• Methodology: Descriptive research using online surveys to collect data from employees across industries.

4. Environmental Studies

• Topic: The effect of urbanization on local biodiversity.
• Methodology: Descriptive research involving field observations and quantitative data analysis of species populations.

How to Write the Methodology Section

Step 1: provide an overview.

Begin by explaining the overall research approach (qualitative, quantitative, or mixed methods) and justifying its suitability for addressing the research questions.

• Example: “This study employs a mixed-methods approach to explore the impact of remote work on employee productivity. The combination of quantitative surveys and qualitative interviews provides a comprehensive understanding of the phenomenon.”

Step 2: Describe the Research Design

Outline the specific design used, such as experimental, descriptive, or correlational, and explain why it was chosen.

• Example: “A correlational design was selected to analyze the relationship between screen time and sleep quality among high school students.”

Step 3: Detail the Data Collection Methods

Explain how data was collected, including tools, instruments, and procedures.

• Example: “Data was collected using an online survey distributed to 500 participants. The survey included closed-ended questions measuring job satisfaction and open-ended questions capturing employee experiences.”

Step 4: Specify the Sampling Method

Describe the sampling strategy, including sample size, selection criteria, and sampling technique (e.g., random, stratified, convenience).

• Example: “A stratified sampling technique was employed to ensure representation across different age groups. The final sample included 200 respondents aged 18–60.”

Step 5: Describe Data Analysis Techniques

Explain the methods used to analyze the data, whether statistical or thematic.

• Example: “Quantitative data was analyzed using SPSS software, employing descriptive statistics and regression analysis. Qualitative data from interviews was thematically coded to identify patterns and themes.”

Step 6: Address Ethical Considerations

Discuss ethical measures such as informed consent, confidentiality, and data security.

• Example: “All participants provided informed consent, and data was anonymized to maintain confidentiality. Ethical approval was obtained from the institutional review board.”

Step 7: Justify Your Choices

Provide a rationale for selecting the chosen methods and explain their relevance to the research objectives.

• Example: “The use of surveys allowed for efficient data collection from a large sample, while interviews provided in-depth insights into individual experiences.”

Tips for Writing a Strong Methodology Section

• Be Detailed and Specific: Provide enough detail to allow replication of your study.
• Maintain Objectivity: Use neutral language and avoid subjective statements.
• Link to Objectives: Ensure all methods align with the study’s research questions or hypotheses.
• Use Subheadings: Organize the section into clear subsections for readability.
• Cite Sources: Reference any tools, instruments, or previous studies that informed your methodology.

Common Mistakes to Avoid

• Lack of Clarity: Ambiguous descriptions can confuse readers and undermine credibility.
• Insufficient Detail: Omitting key steps or procedures can make the study irreproducible.
• Ignoring Limitations: Failing to acknowledge methodological limitations reduces transparency.
• Misalignment with Objectives: Methods that do not address the research questions weaken the study’s validity.

The research methodology is a vital component of any study, laying the foundation for credible and reliable results. By selecting the appropriate type—whether qualitative, quantitative, or mixed methods—and providing a clear, detailed explanation of the processes involved, researchers can ensure that their work is both rigorous and replicable. Following the writing guide and addressing common mistakes will help create a robust methodology section, contributing to the overall strength and impact of the research.

• Creswell, J. W. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches . Sage Publications.
• Babbie, E. (2020). The Practice of Social Research . Cengage Learning.
• Bryman, A. (2016). Social Research Methods . Oxford University Press.
• Patton, M. Q. (2015). Qualitative Research & Evaluation Methods: Integrating Theory and Practice . Sage Publications.
• Flick, U. (2018). An Introduction to Qualitative Research . Sage Publications.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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Guide for Thesis Research

• Introduction to the Thesis Process
• Project Planning
• Literature Review
• Theoretical Frameworks
• Research Methodology
• GC Honors Program Theses
• Thesis Submission Instructions This link opens in a new window
• Accessing Guilford Theses from 1898 to 2020 This link opens in a new window

Basics of Methodology

Research is a process of inquiry that is carried out in a pondered, organized, and strategic manner. In order to obtain high quality results, it is important to understand methodology.

Research methodology refers to how your project will be designed, what you will observe or measure, and how you will collect and analyze data. The methods you choose must be appropriate for your field and for the specific research questions you are setting out to answer.

A strong understanding of methodology will help you:

• apply appropriate research techniques
• design effective data collection instruments
• analyze and interpret your data
• develop well-founded conclusions

Below, you will find resources that mostly cover general aspects of research methodology. In the left column, you will find resources that specifically cover qualitative, quantitative, and mixed methods research.

General Works on Methodology

Qualitative Research

Quantitative Research

Mixed Methods Research

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• Last Updated: Jul 22, 2024 10:48 AM
• URL: https://library.guilford.edu/thesis-guide

Writing the Research Methodology Section of Your Thesis

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

What is a thesis research methodology?

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

What should the research methodology section in your thesis include?

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

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

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

Types of methodological approaches

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

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

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

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

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

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

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

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

Data collection

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

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

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

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

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

Data analysis

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

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

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

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

Evaluate and justify your methodological choices

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

Ethical considerations

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

Tips for writing a robust thesis research methodology

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

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

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

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

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

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

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

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

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

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

What is the difference between methodology and methods? +

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

What is the difference between reliability and validity? +

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

What tense is used to write the methods section? +

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

What software programs are recommended for statistical analysis? +

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