1. Dissertations: writing the results/ analysis chapter
Dr Jessica Hancock
Lecturer in Academic Development

2. Today Understand what’s required in your analysis and findings chapter
Think about effective ways of writing about qualitative and quantitative data
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3. Chapter contents Data results – what
Discussion – why – link to literature review

4. Writing task What are your main findings (one or two sentences)?
How do these compare to previous research?

5. Qualitative data

6. Processing qualitative data
Volume of information
How does it fit in with your research question?
System to locate patterns and formulate theory – codes, memos

7. 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

8. Connecting codes/ themes
Contribution levels
Attitudes to time
Participation in meetings
Differences in expectations

9. Quantitative data

10. Key terms Variable, constant
Independent and dependent variables: relationship
In the US, people who talk slowly have a higher rate of skin cancer. Why?

11. Charts

13. Charts are about communication
Simplify pattern discovery
Not wow factor
Not misleading
Think about:
What is it for?
What question does it answer?

14. Embedding visual data
Title – e.g. Table 1 / Figure 1 etc - at the bottom
Secondary source - in text citation
Integrate it within your writing

15. Summary Data isn’t an end in itself
Charts and tables can help us interpret information
Significance of results - connections