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Dissertation Methodology – Structure, Example and Writing Guide
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Dissertation Methodology
The methodology section of a dissertation explains the approach, design, and methods you used to conduct your research. This section is critical for demonstrating the rigor and credibility of your study and allows readers to evaluate the reliability and validity of your findings. The methodology should be clear, detailed, and justified, ensuring that anyone reading it understands how and why the research was conducted.
Purpose of a Dissertation Methodology
The methodology section serves several essential purposes:
- Justifies the Research Approach : Explains why specific research methods were chosen and how they align with the research question.
- Describes Data Collection and Analysis : Details the tools, techniques, and procedures used to gather and analyze data.
- Ensures Replicability : Provides enough detail for other researchers to replicate or build on the study.
- Addresses Limitations : Identifies any limitations or constraints of the chosen methodology and their potential impact on results.
Structure of a Dissertation Methodology
A well-organized methodology section is usually structured into five main components: Research Design , Participants/Sampling , Data Collection Methods , Data Analysis , and Ethical Considerations . Some dissertations may include additional sections as needed for specific methods or fields of study.
1. Research Design
Definition : The research design is the overall strategy and framework guiding the study. It outlines whether the research is qualitative, quantitative, or mixed-methods and justifies this choice in relation to the research question.
Example : If studying consumer behavior, a quantitative survey might be appropriate to gather statistical data, while qualitative interviews could provide in-depth insights into motivations.
Typical Components :
- Approach : Qualitative, quantitative, or mixed-methods.
- Research Type : Experimental, observational, survey-based, case study, etc.
- Justification : Explanation of why this design aligns with the research objectives.
2. Participants and Sampling
Definition : This section describes the study population, how participants were chosen, and the sample size. It should include the criteria for inclusion and exclusion, as well as details about recruitment procedures.
Example : For a study on workplace satisfaction, you might select employees from various departments in a company and use a sample size calculated based on statistical power analysis.
- Target Population : The demographic characteristics and scope of the population studied.
- Sampling Method : Probability or non-probability sampling (e.g., random sampling, convenience sampling).
- Sample Size : The number of participants included and justification for this number.
3. Data Collection Methods
Definition : This section describes how data was collected, detailing the tools and techniques used. It should include specifics on instruments (e.g., surveys, interviews, experiments), how they were administered, and why these methods are appropriate for the study.
Example : In a study examining consumer satisfaction, data collection could involve an online survey with closed-ended questions to quantify satisfaction levels.
- Tools/Procedures : Description of instruments, procedures, and protocols.
- Type of Data Collected : Qualitative (e.g., interviews, focus groups) or quantitative (e.g., surveys, experiments).
- Rationale : Explanation of why these data collection methods were chosen.
4. Data Analysis
Definition : Data analysis involves explaining the methods and techniques used to interpret the collected data. This includes any statistical or thematic analysis methods applied, as well as software used.
Example : For quantitative data, you might use software like SPSS or R for statistical analysis, while qualitative data could be analyzed using NVivo to identify key themes.
- Techniques : Statistical tests for quantitative data (e.g., t-tests, regression analysis) or coding for qualitative data.
- Software : Mention any software used, such as SPSS, R, or NVivo.
- Justification : Explanation of why these analysis methods are appropriate for the research question and data.
5. Ethical Considerations
Definition : Ethical considerations involve addressing any ethical issues related to the study, such as informed consent, confidentiality, and participant welfare.
Example : In a study involving human subjects, ethical considerations might include obtaining informed consent and ensuring data anonymity.
- Informed Consent : Description of how participants were informed about the study and consent obtained.
- Confidentiality : Explanation of measures taken to protect participants’ privacy.
- Risk Mitigation : Any procedures in place to protect participants from harm.
Example of a Dissertation Methodology
Here is a sample methodology for a hypothetical dissertation examining the impact of online learning on student engagement.
Title : The Impact of Online Learning Platforms on Student Engagement in Higher Education
- This study employs a mixed-methods approach, combining quantitative surveys and qualitative interviews to obtain a comprehensive understanding of student engagement in online learning. The quantitative component provides generalizable data, while the qualitative component offers in-depth insights.
- Participants include 300 undergraduate students enrolled in online courses at three universities. A random sampling method was used to ensure a representative sample across different disciplines.
- Data collection involved an online survey with closed-ended questions on engagement, followed by semi-structured interviews with a subset of 20 students to explore their experiences more deeply.
- Quantitative data were analyzed using descriptive statistics and regression analysis in SPSS to assess relationships between variables. Qualitative data were coded and thematically analyzed using NVivo to identify key themes.
- Ethical approval was obtained from each institution’s review board. Participants were informed of the study’s purpose, and informed consent was obtained. All responses were anonymized to ensure confidentiality.
Writing Guide for Dissertation Methodology
Step 1: choose the research design and justify it.
Begin by identifying the research design that best suits your research question. Justify your choice based on how it aligns with the study’s objectives and the type of data needed.
Example : For a dissertation on the effects of diet on physical health, a longitudinal study might be chosen to observe changes over time, with justification based on the need to monitor long-term health outcomes.
Step 2: Describe the Sampling Process
Explain the target population, sampling method, and sample size. Justify your choices by explaining how they ensure the data will be representative and reliable.
Example : A study on employee motivation might choose a random sampling method to prevent bias, ensuring that findings can be generalized to a broader workforce.
Step 3: Outline Data Collection Methods
Provide a detailed description of how data was collected, including any instruments, techniques, and procedures. Explain why these methods are appropriate for capturing the data needed to answer the research question.
Example : If measuring customer satisfaction, an online survey may be selected due to its efficiency and reach, and its questions might be chosen to quantify specific satisfaction dimensions.
Step 4: Explain Data Analysis Procedures
Describe how you analyzed the data and justify the chosen techniques. Include information on any software used and specific statistical or thematic analysis methods applied.
Example : For a quantitative study, you might perform regression analysis to explore relationships between variables. In qualitative studies, you might use thematic coding to identify patterns.
Step 5: Address Ethical Considerations
Identify any ethical issues related to your study and describe how you addressed them. Ethical considerations are crucial for studies involving human subjects, as they help protect participant rights.
Example : For a study involving interviews, explain how participants were assured of confidentiality and provided with the option to withdraw at any time.
Tips for Writing an Effective Methodology
- Be Clear and Detailed : Provide enough detail so that another researcher could replicate the study based on your description.
- Use Justification for Every Choice : Explain why each methodological choice is suitable for your research objectives.
- Stay Objective and Neutral : Avoid using personal opinions or biases; focus on describing your research design and methods factually.
- Organize Logically : Follow a logical flow, usually beginning with research design, followed by sampling, data collection, data analysis, and ethical considerations.
- Keep It Concise but Comprehensive : Avoid unnecessary detail, but ensure you cover all relevant information needed to understand your methodology.
Common Pitfalls to Avoid
- Vagueness : Avoid vague language and provide specific details for each section.
- Lack of Justification : Justify all choices, from sampling methods to analytical techniques, to demonstrate thoughtfulness and rigor.
- Overcomplicating Language : Use clear, straightforward language rather than overly technical jargon to improve readability.
- Ignoring Limitations : Acknowledge any limitations in your methodology and discuss how they may impact the results.
The methodology section is a vital part of a dissertation, outlining the design, participants, data collection, data analysis, and ethical considerations. By following a structured approach, providing justifications for each choice, and ensuring clarity, you can write a robust methodology that supports the credibility and reliability of your research. A well-written methodology allows readers to evaluate the validity of your study and serves as a foundation for replicating or expanding upon your work.
- Creswell, J. W., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (5th ed.). SAGE Publications.
- Flick, U. (2018). An Introduction to Qualitative Research (6th ed.). SAGE Publications.
- Silverman, D. (2016). Qualitative Research (4th ed.). SAGE Publications.
- Yin, R. K. (2017). Case Study Research and Applications: Design and Methods (6th ed.). SAGE Publications.
- Saunders, M., Lewis, P., & Thornhill, A. (2016). Research Methods for Business Students (7th ed.). Pearson.
About the author
Muhammad Hassan
Researcher, Academic Writer, Web developer
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What Is Research Methodology?
I f you’re new to formal academic research, it’s quite likely that you’re feeling a little overwhelmed by all the technical lingo that gets thrown around. And who could blame you – “research methodology”, “research methods”, “sampling strategies”… it all seems never-ending!
In this post, we’ll demystify the landscape with plain-language explanations and loads of examples (including easy-to-follow videos), so that you can approach your dissertation, thesis or research project with confidence. Let’s get started.
Research Methodology 101
- What exactly research methodology means
- What qualitative , quantitative and mixed methods are
- What sampling strategy is
- What data collection methods are
- What data analysis methods are
- How to choose your research methodology
- Example of a research methodology
What is research methodology?
Research methodology simply refers to the practical “how” of a research study. More specifically, it’s about how a researcher systematically designs a study to ensure valid and reliable results that address the research aims, objectives and research questions . Specifically, how the researcher went about deciding:
- What type of data to collect (e.g., qualitative or quantitative data )
- Who to collect it from (i.e., the sampling strategy )
- How to collect it (i.e., the data collection method )
- How to analyse it (i.e., the data analysis methods )
Within any formal piece of academic research (be it a dissertation, thesis or journal article), you’ll find a research methodology chapter or section which covers the aspects mentioned above. Importantly, a good methodology chapter explains not just what methodological choices were made, but also explains why they were made. In other words, the methodology chapter should justify the design choices, by showing that the chosen methods and techniques are the best fit for the research aims, objectives and research questions.
So, it’s the same as research design?
Not quite. As we mentioned, research methodology refers to the collection of practical decisions regarding what data you’ll collect, from who, how you’ll collect it and how you’ll analyse it. Research design, on the other hand, is more about the overall strategy you’ll adopt in your study. For example, whether you’ll use an experimental design in which you manipulate one variable while controlling others. You can learn more about research design and the various design types here .
Need a helping hand?
What are qualitative, quantitative and mixed-methods?
Qualitative, quantitative and mixed-methods are different types of methodological approaches, distinguished by their focus on words , numbers or both . This is a bit of an oversimplification, but its a good starting point for understanding.
Let’s take a closer look.
Qualitative research refers to research which focuses on collecting and analysing words (written or spoken) and textual or visual data, whereas quantitative research focuses on measurement and testing using numerical data . Qualitative analysis can also focus on other “softer” data points, such as body language or visual elements.
It’s quite common for a qualitative methodology to be used when the research aims and research questions are exploratory in nature. For example, a qualitative methodology might be used to understand peoples’ perceptions about an event that took place, or a political candidate running for president.
Contrasted to this, a quantitative methodology is typically used when the research aims and research questions are confirmatory in nature. For example, a quantitative methodology might be used to measure the relationship between two variables (e.g. personality type and likelihood to commit a crime) or to test a set of hypotheses .
As you’ve probably guessed, the mixed-method methodology attempts to combine the best of both qualitative and quantitative methodologies to integrate perspectives and create a rich picture. If you’d like to learn more about these three methodological approaches, be sure to watch our explainer video below.
What is sampling strategy?
Simply put, sampling is about deciding who (or where) you’re going to collect your data from . Why does this matter? Well, generally it’s not possible to collect data from every single person in your group of interest (this is called the “population”), so you’ll need to engage a smaller portion of that group that’s accessible and manageable (this is called the “sample”).
How you go about selecting the sample (i.e., your sampling strategy) will have a major impact on your study. There are many different sampling methods you can choose from, but the two overarching categories are probability sampling and non-probability sampling .
Probability sampling involves using a completely random sample from the group of people you’re interested in. This is comparable to throwing the names all potential participants into a hat, shaking it up, and picking out the “winners”. By using a completely random sample, you’ll minimise the risk of selection bias and the results of your study will be more generalisable to the entire population.
Non-probability sampling , on the other hand, doesn’t use a random sample . For example, it might involve using a convenience sample, which means you’d only interview or survey people that you have access to (perhaps your friends, family or work colleagues), rather than a truly random sample. With non-probability sampling, the results are typically not generalisable .
To learn more about sampling methods, be sure to check out the video below.
What are data collection methods?
As the name suggests, data collection methods simply refers to the way in which you go about collecting the data for your study. Some of the most common data collection methods include:
- Interviews (which can be unstructured, semi-structured or structured)
- Focus groups and group interviews
- Surveys (online or physical surveys)
- Observations (watching and recording activities)
- Biophysical measurements (e.g., blood pressure, heart rate, etc.)
- Documents and records (e.g., financial reports, court records, etc.)
The choice of which data collection method to use depends on your overall research aims and research questions , as well as practicalities and resource constraints. For example, if your research is exploratory in nature, qualitative methods such as interviews and focus groups would likely be a good fit. Conversely, if your research aims to measure specific variables or test hypotheses, large-scale surveys that produce large volumes of numerical data would likely be a better fit.
What are data analysis methods?
Data analysis methods refer to the methods and techniques that you’ll use to make sense of your data. These can be grouped according to whether the research is qualitative (words-based) or quantitative (numbers-based).
Popular data analysis methods in qualitative research include:
- Qualitative content analysis
- Thematic analysis
- Discourse analysis
- Narrative analysis
- Interpretative phenomenological analysis (IPA)
- Visual analysis (of photographs, videos, art, etc.)
Qualitative data analysis all begins with data coding , after which an analysis method is applied. In some cases, more than one analysis method is used, depending on the research aims and research questions . In the video below, we explore some common qualitative analysis methods, along with practical examples.
- Descriptive statistics (e.g. means, medians, modes )
- Inferential statistics (e.g. correlation, regression, structural equation modelling)
How do I choose a research methodology?
As you’ve probably picked up by now, your research aims and objectives have a major influence on the research methodology . So, the starting point for developing your research methodology is to take a step back and look at the big picture of your research, before you make methodology decisions. The first question you need to ask yourself is whether your research is exploratory or confirmatory in nature.
If your research aims and objectives are primarily exploratory in nature, your research will likely be qualitative and therefore you might consider qualitative data collection methods (e.g. interviews) and analysis methods (e.g. qualitative content analysis).
Conversely, if your research aims and objective are looking to measure or test something (i.e. they’re confirmatory), then your research will quite likely be quantitative in nature, and you might consider quantitative data collection methods (e.g. surveys) and analyses (e.g. statistical analysis).
Designing your research and working out your methodology is a large topic, which we cover extensively on the blog . For now, however, the key takeaway is that you should always start with your research aims, objectives and research questions (the golden thread). Every methodological choice you make needs align with those three components.
Example of a research methodology chapter
In the video below, we provide a detailed walkthrough of a research methodology from an actual dissertation, as well as an overview of our free methodology template .
Learn More About Methodology
How To Choose A Tutor For Your Dissertation
Hiring the right tutor for your dissertation or thesis can make the difference between passing and failing. Here’s what you need to consider.
5 Signs You Need A Dissertation Helper
Discover the 5 signs that suggest you need a dissertation helper to get unstuck, finish your degree and get your life back.
Triangulation: The Ultimate Credibility Enhancer
Triangulation is one of the best ways to enhance the credibility of your research. Learn about the different options here.
Research Limitations 101: What You Need To Know
Learn everything you need to know about research limitations (AKA limitations of the study). Includes practical examples from real studies.
In Vivo Coding 101: Full Explainer With Examples
Learn about in vivo coding, a popular qualitative coding technique ideal for studies where the nuances of language are central to the aims.
📄 FREE TEMPLATES
Research Topic Ideation
Proposal Writing
Literature Review
Methodology & Analysis
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Referencing & Citing
Apps, Tools & Tricks
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200 Comments
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Thanks for your comment.
We can’t write your methodology for you. If you’re looking for samples, you should be able to find some sample methodologies on Google. Alternatively, you can download some previous dissertations from a dissertation directory and have a look at the methodology chapters therein.
All the best with your research.
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Sure. You’re welcome to book an initial consultation with one of our Research Coaches to discuss how we can assist – https://gradcoach.com/book/new/ .
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how do i reference this?
MLA Jansen, Derek, and Kerryn Warren. “What (Exactly) Is Research Methodology?” Grad Coach, June 2021, gradcoach.com/what-is-research-methodology/.
APA Jansen, D., & Warren, K. (2021, June). What (Exactly) Is Research Methodology? Grad Coach. https://gradcoach.com/what-is-research-methodology/
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- What Is a Research Methodology? | Steps & Tips
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.
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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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