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Learn vital strategies for writing the results and analysis chapter in your dissertation, including handling qualitative and quantitative data effectively. Gain insights on coding, connecting themes, and embedding visual data. Understand the significance of your research findings. Contact Dr. Jessica Hancock for guidance.
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Dissertations: writing the results/ analysis chapter Dr Jessica Hancock Lecturer in Academic Development
Today • Understand what’s required in your analysis and findings chapter • Think about effective ways of writing about qualitative and quantitative data jessica.hancock@gcu.ac.uk londonadt.youcanbook.me
Chapter contents Data results – what Discussion – why – link to literature review
Writing task • What are your main findings (one or two sentences)? • How do these compare to previous research?
Processing qualitative data Volume of information How does it fit in with your research question? System to locate patterns and formulate theory – codes, memos
Coding example: problems with group work • A didn’t send it their part before the deadline • B only did half of the agreed work count • C’s stuff was terrible, no references at all • D’s work was all copied from the internet • E wrote something but it didn’t make any sense
Connecting codes/ themes • Contribution levels • Attitudes to time • Participation in meetings Differences in expectations
Key terms http://www.marchex.com/2016/02/02/talkative/ Variable, constant Independent and dependent variables: relationship In the US, people who talk slowly have a higher rate of skin cancer. Why?
Charts are about communication • Simplify pattern discovery • Not wow factor • Not misleading • Think about: • What is it for? • What question does it answer?
Embedding visual data Title – e.g. Table 1 / Figure 1 etc - at the bottom Secondary source - in text citation Integrate it within your writing
Summary • Data isn’t an end in itself • Charts and tables can help us interpret information • Significance of results - connections