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Research Methods | Definitions, Types, Examples

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

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

Second, decide how you will analyze the data .

Table of contents

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

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

Qualitative vs. quantitative data

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

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

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

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

Primary vs. secondary research

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

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

Descriptive vs. experimental data

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

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

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

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

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

Qualitative analysis methods

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

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

Quantitative analysis methods

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

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

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

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

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

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

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

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

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

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.

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thesis methodology research methods

Writing the Research Methodology Section of Your Thesis

thesis methodology research methods

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?

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

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:

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

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

Tips for writing a robust thesis research methodology

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 .

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How To Write The Methodology Chapter

The what, why & how explained simply (with examples).

By: Jenna Crossley (PhD). Reviewed By: Dr. Eunice Rautenbach | September 2021

So, you’ve pinned down your research topic and undertaken a review of the literature – now it’s time to write up the methodology section of your dissertation, thesis or research paper. But what exactly is the methodology chapter all about – and how do you go about writing one? In this post, we’ll unpack the topic, step by step .

Overview: The Methodology Chapter

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What (exactly) is the methodology chapter?

Your methodology chapter is where you highlight the philosophical underpinnings of your research and outline the specific research design choices you’ve made. The point of the methodology chapter is to tell the reader exactly how you designed your research and to justify your design choices .

The methodology chapter should comprehensively describe and justify all the research design choices you made. For example, the type of research you conducted (e.g. qualitative or quantitative ), how you collected your data, how you analysed your data and who or where you collected data from (sampling). We’ll explain all the key design choices later in this post .

Why is the methodology chapter important?

The methodology chapter is important for two reasons:

Firstly, it demonstrates your understanding of research design theory, which is what earns you marks. A flawed research design or methodology would mean flawed results, so this chapter is vital as it allows you to show the marker that you know what you’re doing and that your results are credible .

Secondly, the methodology chapter is what helps to make your study replicable – in other words, it allows other researchers to undertake your study using the same design, and compare their findings to yours. This is very important within academic research, as each study builds on previous studies.

The methodology chapter is also important because it allows you to identify and discuss any methodological issues or problems you encountered (i.e. limitations), and to explain how you mitigated the impacts of these. Every research project has its limitations and shortcomings , so it’s important to acknowledge these openly and highlight your study’s value despite its limitations. Again, this demonstrates your understanding of research design, which will earn you marks. We’ll discuss limitations in more detail later in this post.

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How to write up the methodology chapter

First off, it’s worth noting that the exact structure and contents of the methodology chapter will vary depending on the field of research (for example, humanities vs chemistry vs engineering) as well as the university . So, it’s always a good idea to check the guidelines provided by your institution for clarity and, if possible, review past dissertations and theses from your university. Here we’re going to discuss a generic structure for a methodology chapter typically found in the sciences, especially the social sciences (e.g. psychology).

Before you start writing, we always recommend that you draw up a rough outline , so that you have a clear direction to head in. Don’t just start writing without knowing what will go where. If you do, you’ll most likely end up with a disjointed, poorly flowing narrative . As a result, you’ll waste a lot of time rewriting in an attempt to try to stitch all the pieces together. Start with the end in mind.

Section 1 – Introduction

As with all chapters in your dissertation or thesis, the methodology chapter should have a brief introduction. In this introduction, you should remind your readers what the focus of your study is, especially the research aims . As we’ve discussed many times on this blog, your research design needs to align with your research aims, objectives and research questions , so it’s useful to frontload this to remind the reader (and yourself!) what you’re trying to achieve with your design and methodology.

In this section, you can also briefly mention how you’ll structure the chapter. This will help orient the reader and provide a bit of a roadmap so that they know what to expect.

The intro provides a roadmap to your methodology chapter

Section 2 – The Research Design

The next section of your methodology chapter should present your research design to the reader. In this section, you need to detail and justify all the key design choices in a logical, intuitive fashion. This is the heart of your methodology chapter, so you need to get specific – don’t hold back on the details here. This is not one of those “less is more” situations.

Let’s have a look at the most common design choices you’ll need to cover.

Design Choice #1 – Research Philosophy

Research philosophy refers to the underlying beliefs (i.e. world view) regarding how data about a phenomenon should be gathered , analysed and used . Your research philosophy  will serve as the core of your study and underpin all of the other research design choices, so it’s critically important that you understand which philosophy you’ll adopt and why you made that choice. If you’re not clear on this, take the time to  get clarity before you make any research design choices.

While several research philosophies exist, two commonly adopted ones are positivism and interpretivism .

Positivism is commonly the underlying research philosophy in quantitative studies. It states that the researcher can observe reality objectively and that there is only one reality, which exists independent of the observer.

Contrasted with this, interpretivism , which is often the underlying research philosophy in qualitative studies, assumes that the researcher performs a role in observing the world around them and that reality is unique to each observer . In other words, reality is observed subjectively .

These are just two philosophies (there are many) , but they demonstrate significantly different approaches to research and have a significant impact on all the research design choices. Therefore, it’s vital that you clearly outline and justify your research philosophy at the beginning of your methodology chapter, as it sets the scene for everything that follows.

The research philosophy is at the core of the methodology chapter

Design Choice #2 – Research Type

The next thing you would typically discuss in your methodology section is the research type. The starting point for this is to indicate whether the research you conducted is inductive or deductive . With inductive research, theory is generated from the ground up (i.e. from the collected data), and therefore these studies tend to be exploratory in terms of approach. Deductive research, on the other hand, starts with established theory and builds onto it with collected data, and therefore these studies tend to be confirmatory in approach.

Related to this, you’ll need to indicate whether your study adopts a qualitative, quantitative or mixed methods methodology. As we’ve mentioned, there’s a strong link between this choice and your research philosophy, so make sure that your choices are tightly aligned . Again, when you write this section up, remember to clearly justify your choices, as they form the foundation of your study.

Design Choice #3 – Research Strategy

Next, you’ll need to discuss your research strategy (i.e., your research “action plan”). This research design choice refers to how you conduct your research based on the aims of your study.

Several research strategies exist, including experiments , case studies , ethnography , grounded theory, action research , and phenomenology . Let’s look at two these, experimental and ethnographic, to see how they contrast.

Experimental research makes use of the scientific method , where one group is the control group (in which no variables are manipulated ) and another is the experimental group (in which a variable is manipulated). This type of research is undertaken under strict conditions in controlled, artificial environments – for example, within a laboratory. By having firm control over the environment, experimental research often allows the researcher to establish causation between variables. Therefore, it can be a good choice if you have research aims that involve identifying or measuring cause and effect.

Ethnographic research , on the other hand, involves observing and capturing the experiences and perceptions of participants in their natural environment (for example, at home or in the office). In other words, in an uncontrolled environment.  Naturally this means that this research strategy would be far less suitable if your research aims involve identifying causation, but it would be very valuable if you’re looking to explore and examine a group culture, for example.

As you can see, the right research strategy will depend largely on your research aims and research questions – in other words, what you’re trying to figure out. Therefore, as with every other design choice, it’s essential to justify why you chose the research strategy you did.

Justify every design/methodology choice

Design Choice #4 – Time Horizon

The next thing you need to cover in your methodology chapter is the time horizon. There are two options here – cross-sectional and longitudinal . In other words, whether the data for your study were all collected at one point in time (i.e. cross-sectional) or at multiple points in time (i.e. longitudinal).

The choice you make here depends again on your research aims, objectives and research questions. If, for example, you aim to assess how a specific group of people’s perspectives regarding a topic change over time , you’d likely adopt a longitudinal time horizon.

Another important factor is simply the practical constraints – in other words, whether you have the time necessary to adopt a longitudinal approach (which could involve collecting data over multiple years). Oftentimes, the time pressures of your degree program will force your hand into adopting a cross-sectional time horizon, so keep this in mind.

Design Choice #5 – Sampling Strategy

Next, you’ll need to discuss your chosen sampling strategy . There are two main categories of sampling, probability and non-probability sampling. Probability sampling involves a random (and therefore representative) selection of participants from a population, whereas non-probability sampling entails selecting participants in a non-randomized (and therefore non-representative) manner. For example, selecting participants based on ease of access (this is called a convenience sample).

The right sampling approach depends largely on what you’re trying to achieve in your study. Specifically, whether you trying to develop findings that are generalisable to a population or not. Practicalities and resource constraints also play a large role here, as it can oftentimes be challenging to gain access to a truly random sample.

Design Choice #6 – Data Collection Method

Next up, you need to explain how exactly you’ll go about collecting the necessary data for your study. Your data collection method (or methods) will depend on the type of data that you plan to collect – in other words, qualitative or quantitative data.

Typically, quantitative research relies on surveys , data generated by lab equipment, analytics software or existing datasets. Qualitative research, on the other hand, often makes use of collection methods such as interviews , focus groups , participant observations, and ethnography.

So, as you can see, there is a tight link between this section and the design choices you outlined in earlier sections. Strong alignment between these sections is therefore very important.

Design Choice #7 – Data Analysis Methods/Techniques

The final major design choice that you need to address is that of analysis techniques . In other words, once you’ve collected your data, how will you go about analysing it. Here it’s important to be specific about your analysis methods and/or techniques – don’t leave any room for interpretation. Also, as with all choices in this chapter, you need to justify each choice you make.

What exactly you discuss here will depend largely on the type of study you’re conducting (i.e., qualitative, quantitative, or mixed methods). For qualitative studies, common analysis methods include content analysis , thematic analysis and discourse analysis . For quantitative studies, you’ll almost always make use of descriptive statistics, and in many cases, you’ll also use inferential statistical techniques (e.g. correlation and regression analysis).

In this section, it’s also important to discuss how you prepared your data for analysis, and what software you used (if any). For example, quantitative data will often require some initial preparation such as removing duplicates or incomplete responses . As always, remember to state both what you did and why you did it.

Time to analyse

Section 3 – The Methodological Limitations

With the key research design choices outlined and justified, the next step is to discuss the limitations of your design. No research design or methodology is perfect – there will always be trade-offs between the “ideal” design and what’s practical and viable, given your constraints. Therefore, this section of your methodology chapter is where you’ll discuss the trade-offs you had to make, and why these were justified given the context.

Methodological limitations can vary greatly from study to study, ranging from common issues such as time and budget constraints to issues of sample or selection bias . For example, you may find that you didn’t manage to draw in enough respondents to achieve the desired sample size (and therefore, statistically significant results), or your sample may be skewed heavily towards a certain demographic, thereby negatively impacting representativeness .

In this section, it’s important to be critical of the shortcomings of your study. There’s no use trying to hide them (your marker will be aware of them regardless). By being critical, you’ll demonstrate to your marker that you have a strong understanding of research design, so don’t be shy here. At the same time, don’t beat your study to death . State the limitations, why these were justified, how you mitigated their impacts to the best degree possible, and how your study still provides value despite these limitations.

Section 4 – Concluding Summary

Finally, it’s time to wrap up the methodology chapter with a brief concluding summary. In this section, you’ll want to concisely summarise what you’ve presented in the chapter. Here, it can be useful to use a figure to summarise the key design decisions, especially if your university recommends using a specific model (for example, Saunders’ Research Onion ).

Importantly, this section needs to be brief – a paragraph or two maximum (it’s a summary, after all). Also, make sure that when you write up your concluding summary, you include only what you’ve already discussed in your chapter; don’t add any new information.

Keep it simple

Wrapping up

And there you have it – the methodology chapter in a nutshell. As we’ve mentioned, the exact contents and structure of this chapter can vary between universities , so be sure to check in with your institution before you start writing. If possible, try to find dissertations or theses from former students of your specific degree program – this will give you a strong indication of the expectations and norms when it comes to the methodology chapter (and all the other chapters!).

Also, remember the golden rule of the methodology chapter – justify every choice ! Make sure that you clearly explain the “why” for every “what”, and reference credible methodology textbooks or academic sources to back up your justifications.

If you need a helping hand with your research methodology (or any other section of your dissertation or thesis), be sure to check out our private coaching service , where we hold your hand through every step of the research journey. Until next time, good luck!

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Psst… there’s more (for free)

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

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Guide for Thesis Research

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:

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

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Qualitative Research

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Quantitative Research

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Mixed Methods Research

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IMAGES

  1. 😊 What is the methodology of a research paper. Writing your Dissertation: Methodology. 2019-02-19

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  2. 1: Methodology of this thesis work.

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  3. Sample Of Research Methodology In Thesis Pdf

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  4. Chapter 3 Methodology Example In Research : Master thesis proposal methodology sample : Maybe

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  5. Examples Of Methodology For Thesis : Types Of Research Methods Or Methodology Thesismind

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  6. Thesis Methodology

    thesis methodology research methods

VIDEO

  1. Methods of Research

  2. Research Methods -13- (Student summary examples)

  3. RESEARCHING A TOPIC: Basic Steps in Research Process

  4. Research Methodology:Definition of Research, Objective of Research, Motivation of Research

  5. Research Methods Course Outline

  6. What makes a thesis EXCELLENT?

COMMENTS

  1. What Is a Research Methodology?

    Tips for writing a strong methodology chapter. 1. Focus on your objectives and research questions. The methodology section should clearly show why your methods suit your objectives and convince the ... 2. Cite relevant sources. 3. Write for your audience.

  2. Research Methods

    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.

  3. Writing the Research Methodology Section of Your Thesis

    Writing the Research Methodology Section of Your Thesis Types of methodological approaches. The choice of which methodological approach to use depends on your field of research... Data collection. Explain the rationale behind the sampling procedure you have chosen. This could involve probability... ...

  4. How To Write The Methodology Chapter

    Several research strategies exist, including experiments, case studies, ethnography, grounded theory, action research, and phenomenology. Let’s look at two these, experimental and ethnographic, to see how they contrast.

  5. LibGuides: Guide for Thesis Research: Research 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: