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Dissertation Methodology Structure Secondary Data

Dissertation Methodology

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If you are a taking a taught or research-based masters course, or doing a PhD , then you will likely be asked to present a dissertation that includes research and data from a project of your own design. One of the key factors in writing a dissertation that successfully presents your research is the Dissertation Methodology.

What is the Methodology?

This is the section of your dissertation that explains how you carried out your research, where your data comes from, what sort of data gathering techniques you used, and so forth. Generally, someone reading your methodology should have enough information to be able to create methods very similar to the ones you used to obtain your data, but you do not have to include any questionnaires, reviews, interviews, etc that you used to conduct your research here. This section is primarily for explaining why you chose to use those particular techniques to gather your data. Read more about postgraduate research projects here .

A Scientific Approach

The information included in the dissertation methodology is similar to the process of creating a science project: you need to present the subject that you aim to examine, and explain the way you chose to go about approaching your research. There are several different types of research, and research analysis, including primary and secondary research, and qualitative and quantitative analysis, and in your dissertation methodology, you will explain what types you have employed in assembling and analysing your data.

Explain your methods

This aspect of the methodology section is important, not just for detailing how your research was conducted, but also how the methods you used served your purposes, and were more appropriate to your area of study than other methods. For example, if you create and use a series of ‘yes’ or ‘no’ survey questions, which you then processed into percentages per response, then the quantitative method of data analysis to determine the results of data gathered using a primary research method. You would then want to explain why this combination was more appropriate to your topic than say, a review of a book that included interviews with participants asking open-ended questions: a combination of secondary research and qualitative data analysis.

Writing a Dissertation Methodology

It is important to keep in mind that your dissertation methodology is about description: you need to include details in this section that will help others understand exactly what you aimed to do, how you went about doing it, and why you chose to do it that way. Don’t get too bogged down in listing methods and sources and forget to include why and how they were suitable for your particular research.

Be sure you speak to your course advisor about what specific requirements there may be for your particular course. It is possible that you may need to include more or less information depending on your subject. The type of research you conducted will also determine how much detail you will need to include in the description of your methods. If you have created a series of primary research sources, such as interviews, surveys, and other first hand accounts taken by either yourself or another person active during the time period you are examining, then you will need to include more detail in specifically breaking down the steps you took to both create your sources and use them in conducting your research. If you are using secondary sources when writing your dissertation methodology, or books containing data collected by other researchers, then you won’t necessarily need to include quite as much detail in your description of your methods, although you may want to be more thorough in your description of your analysis.

Research Techniques

You may also want to do some research into research techniques – it sounds redundant, but it will help you identify what type of research you are doing, and what types will be best to achieve the most cohesive results from your project. It will also help you write your dissertation methodology section, as you won’t have to guess when it comes to whether documents written in one time period, re-printed in another, and serialised in book form in a third are primary, secondary, or tertiary sources. Read more on dissertation research here .

Whether or not you have conducted your research using primary sources, you will still want to be sure that you include relevant references to existing studies on your topic. It is important to show that you have carefully researched what data already exists, and are seeking to build on the knowledge that has already been collected. As with all of your dissertation, be sure that you’ve fully supported your research with a strong academic basis. Use research that has already been conducted to illustrate that you know your subject well.

Draft as you go

Because your dissertation methodology is basically an explanation of your research, you may want to consider writing it – or at least drafting it – as you gather your data. If you are on a PhD course, or a longer master’s course, then you may be able to finish researching before you begin writing but it doesn’t hurt to start working on it early that way you can keep on  top of what you need to do. Analysing your own methods of research may help you spot any errors in data collection, interpretation or sources.

An example of dissertation methodology structure

There are several ways that you can structure your methodology, and the following headings are designed to further give you a better idea of what you may want to include, as well as how you might want to present your findings:

Research Overview: where you reiterate the topic of your research.

Research Design: How you’ve set up your project, and what each piece of it aims to accomplish.
Data Collection: What you used to collect the data (surveys, questionnaires, interviews, trials, etc.). Don’t forget to includes sample size and any attempts to defeat bias.

Data Analysis: Finally, what does your data mean in the context of your research? Were your results conclusive or not? Remember to include what type of data you were working with (qualitative or quantitative? Primary or secondary sources?) and how any variables, spurious or otherwise factor into your results.

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Main peculiarities of a dissertation methodology structure

Methodology is a very important part of your dissertation. Some people also refer to it as research methodology. It is a section where you show your readers how you gathered your data that you have used in the paper. You need to show the tools and strategies you adopted for collecting the relevant information and then analyzing it.

These methodologies deal with the theoretical frameworks and tools you use to collect certain information or regard it as relevant or useless. Data that you use in your research paper can be of two types.

If your data can be counted in numbers then it is quantitative data. For example, 45% people are on diet in the Eastern Europe at any given time. The digit 45% is a quantity so this is an example of quantitative data.

If your data cannot be quantified then it is called qualitative data. Best examples of this are data based on demographics and attributes of a certain group.

In the research methodology, you need to talk about two things. One is data collection and the other is data analysis.

Data collection

The collection of data can be done in two ways. One is primary research or firsthand information. Second is secondary research or second hand information.

Primary research

Primary research is the direct data that you collect on your own. This could be done via interviews, surveys, and direct sources. This data can be classified in to structured, semi structured, and open ended data.

Secondary research

Secondary research involves data that you collect through indirect resources. This data is already present in books, journals, libraries, newspapers, government surveys and statistical reports etc.

Data analysis

The second step after collection of data is analyzing it. This is where you use theoretical frameworks or your school of thoughts to filter out relevant and irrelevant data. You also need to see which of the data is valid and collected from an authenticated source and which one is not reliable. The analysis of your data can be through content, statistics, disclosure, and semiotic analysis.

When you analyze your data, you need to see why you chose a certain research methodology over the other. You also need to explain why you did not take a certain method in consideration. Here are a few questions you need to answer while analyzing your data.

Why did you take an open-ended interview?

Why a certain group was not included in your survey?

Why you prefer interviews to journal articles?

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