The results of your study fully-depend on your analysis, and your committee knows this.
Your committe will vigorously attack your analysis to find loopholes in your analysis. The way your analysis is initiated can make or break your entire study.
When it comes to data analysis, Dissertation Genius is an industry leader and this includes qualitative & mixed methods analysis, which bring their own unique sets of challenges.
Although we provide comprehensive consultation with all stages of a dissertation, we have also helped and tutored hundreds of doctoral students from all around the world with conducting comprehensive data analysis.
Dissertation Genius specializes in coaching and consultation for just about every aspect of qualitative analysis. Including:
- Analyzing just about any type of qualitative data (e.g. structured/semi-structured interviews, 1-on-1 interviews, focus groups, meetings, documents, etc.)
- Determining sample size & scope
- Preparing focus groups/interviews
- Transcribing interview data
- Properly structuring the analysis section
Our highly-specialized consultants specifically help you with:
- Evaluating & constructing your analysis plan – We will evaluate your data analysis approach to ensure alignment; if it is not aligned we will make suggestions for changes. We can also review your raw data with you and help you determine which analysis approach is appropriate for your study.
- Digitally-transcribing your qualitative data – All transcriptions are conducted by fully-certified transcriptionists thus safeguarding the reliability of your data and ensuring complete accuracy.
- Coding & classifying your data – We assist you with properly coding and analyzing your qualitative data to help maximize its reliability and accurately prepare it for a full analysis implementation.
- Implementing qualitative analysis with cutting-edge software – Our highly-experienced staff is extremely well-versed in using qualitative analysis software (Atlas.ti, NVivo, etc.) ensuring you precise & accurate results. Many students would like to learn how to use data analytic computer software and we offer tutoring in this area.
- Using the appropriate analysis for your chosen methodology – We help you conduct your analysis for any type of methodology (e.g., ethnography, phenomenology, grounded theory, microanalysis, thematic analysis, narrative analysis, and much more).
- Putting together your analysis narrative – We provide comprehensive consultation to help you summarize and organize your qualitative results narrative. This includes gudiance with regard to the proper structure of tables, charts, etc. as well as application of all your university’s requirements.
- Interpreting your results – After completing the analysis, we help you interpret and understand the results of your analysis to create a stellar results section.
Let the highly-specialized staff at Dissertation Genius guide you through your qualitative analysis and minimize your committee’s potential attacks.
We do not write dissertations, theses, or papers. This is not a writing service; our data analytic services are consistent with ethical guidelines for academic conduct.
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.