If you have conducted things like interviews or observations, you are likely to have transcripts that encompass pages and pages of work.
Putting this all together cohesively within one chapter can be particularly challenging. This is true for two reasons. First, it is always difficult to determine what you are going to cut and/or include. Secondly, unlike quantitative data, it can often be difficult to represent qualitative data through figures and tables, so condensing the information into a visual representation is simply not possible. As a writer, it is important to address both these challenges.
When considering how to present your qualitative data, it may be helpful to begin with the initial outline you have created (and the one described above). Within each of your subsections, you are going to have themes or headings that represent impactful talking points that you want to focus on.
Once you have these headings, it might be helpful to go back to your data and highlight specific lines that can/might be used as examples in your writing. If you have used multiple different instruments to collect data (e.g. interviews and observations), you are going to want to ensure that you are using both examples within each section (if possible). This is so that you can demonstrate to more well-rounded perspective of the points you are trying to make. Once you have identified some key examples for each section, you might still have to do some further cutting/editing.
Once you have your examples firmly selected for each subsection, you want to ensure that you are including enough information. This way, the reader will understand the context and circumstances around what you are trying to ‘prove’. You must set up the examples you have chosen in a clear and coherent way.
Students often make the mistake of including quotations without any other information. It is important that you embed your quotes/examples within your own thoughts. Usually this means writing about the example both before and after. So you might say something like, “One of the main topics that my participants highlighted was the need for more teachers in elementary schools. This was a focal point for 7 of my 12 participants, and examples of their responses included: [insert example] by participant 3 and [insert example] by participant 9. The reoccurring focus by participants on the need for more teachers demonstrates [insert critical thought here]. By embedding your examples in the context, you are essentially highlighting to the reader what you want them to remember.
Aside from determining what to include, the presentation of such data is also essential. Participants, when speaking in an interview might not do so in a linear way. Instead they might jump from one thought to another and might go off topic here and there.
It is your job to present the reader with information on your theme/heading without including all the extra information. So the quotes need to be paired down to incorporate enough information for the reader to be able to understand, while removing the excess.
Finding this balance can be challenging. You have likely worked with the data for a long time and so it might make sense to you. Try to see your writing through the eyes of someone else, which should help you write more clearly.
Dissertation Analysis Chapter Writing
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Data collected are processed and results are ascertained in a dissertation analysis chapter. Row data have no meaning unless they are processed with suitable analytical tools. No dissertation can be appealing without having a highly strategic dissertation analysis chapter. Order dissertations from the established online dissertation writing services that can fulfil all your dissertation requirements. Seeking expert help will always help you to bring out high quality dissertation.
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Help with dissertation analysis chapter
The dissertation analysis chapter is one of the main chapters in a dissertation. The chapter basically consists of the data that has been obtained as part of the research, along with the analysis of the data by the researcher.
It is important to present the data along with the analysis in a comprehensive and easy way in order to enhance understanding of the same. Notably, the analysis is supposed to employ appropriate format, and at the same time, should be detailed enough in order to support your point of view.
Basically, the dissertation analysis chapter should consist of:
It is important to note that the analysis chapter forms the foundation on which you can draw your conclusion, identify patterns and provide recommendations. The basic utility of the dissertation research work relies largely on how well the analysis has been conducted. As a result, you should properly document various types of data, whether qualitative or quantitative, together with relevant approaches, tools and conclusions that you have drawn from the data.
It is also important to reference the analysis with the literature review. The best practices in this, is use of cross referencing where you can relate the common points developed in the course of analysis with the literature review. As a result, it will be prudent to follow the theme based structure that is similar to the literature review, but if new theme emerges, it should be acknowledged. While writing the analysis chapter, you should avoid using jargon and endeavor to define all the technical terms used. The chapter should be approached in a lucid manner in order to make it self-explanatory and interesting to the reader.