Assignment Part I Qualitative Data Analysis Advice
Part 1. Qualitative data analysis assessment
Using the approaches which you have explored on this module carry out a qualitative data analysis on the interview data provided (available on Moodle). a) Present your analysis of the data under a ‘findings’ heading (1000 words)
b) With reference to the relevant methodological literature, critically discuss the challenges of analysing qualitative data and the production of rigorous findings.(1500 words).
Advice for part a) Present your analysis of the data under a ‘findings’ heading (1000 words)
1. Explain briefly and descriptively what you did to the raw data (transcripts) to arrive at your themes
2. Present 3-5 themes resulting from your data analysis. This means write an analytical, not descriptive account of these themes e.g. comparing & contrasting, paying attention to language, explaining differences & similarities.
3. Use of quotations (counted in the word count): short & Illustrative.
4. You can submit a short extract of a transcript you have coded as an appendix. This is not compulsory
5. You can submit your coding scheme as a appendix. This is not compulsory. Appendices are not counted in the word count.
What you are not doing: 1. You are not answering a research question 2. You do not need a research
question 3. You do not need to use any theory on masculinity, sexuality or health etc. but you will be given credit for recognising that themes from the literature would be important.
Advice for part b) With reference to the relevant methodological literature, critically discuss the challenges of analysing qualitative data and the production of rigorous findings. (1500 words).
• Discuss with reference to the epistemological and ontological debates about qualitative research
• Discuss the methodological underpinning of qualitative data analysis
Key issues to include, for example:
• How are issues of qualitative data analysis being
• How do we ensure the quality and
trustworthiness of qualitative research findings?
• Validity, reliability, and generalizability
• The section must be based on a critical
engagement with the methodological literature
You are not:
1. Writing a reflective piece on your own qualitative data analysis
2. Writing a descriptive account
• How to make a good argument:
• – Description
• – Critical elaboration
• – Substantiation
• – Examples
• Critical analysis
• Referencing: up-to-date, text-book and
• Writing + drafting = comprehension