City Research Online

A Psychosocial Approach to Analysing Interviews: Combining Free Association and Thematic Coding

Morgan Brett, B. ORCID: 0000-0002-7212-6898 (2019). A Psychosocial Approach to Analysing Interviews: Combining Free Association and Thematic Coding. doi: 10.4135/9781526474933 [Dataset]

Abstract

This dataset enables the learner to analyse interview data on the topic of ageing using a combination of thematic analysis and psychosocial free association. A thematic approach involves a considered process of careful reading and re-reading of the data, in order to identify patterns and themes in the data. A psychosocial critique of this thematic coding, however, suggests that this fragments and disconnects the data from its original context, and also misses out a more affective reading of the data. Therefore, this dataset shows the reader how to create themes, but also how to consider the data as a whole, emphasising the importance of reflecting upon the thoughts and feelings that are evoked when reading the transcripts. The data are extracted from a PhD project, by Dr Bethany Morgan Brett from The University of Essex, entitled “The Negotiation of Midlife: Exploring the Subjective Experience of Ageing.” The dataset comprises three interview extracts and a Student Guide to using them and a Teaching Guide.

Publication Type: Dataset
Additional Information: Copyright SAGE 2019. Cite as: Morgan Brett, B. (2019). A psychosocial approach to analysing interviews: Combining free association and thematic coding. In Sage Research Methods Datasets Part 2. SAGE Publications Ltd. https://doi.org/10.4135/9781526474933
Publisher Keywords: attitudes, free association, menopause, middle aged, middle ages, midlife crisis, transcripts
Subjects: R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Departments: School of Health & Medical Sciences
School of Health & Medical Sciences > Department of Nursing & Midwifery
SWORD Depositor:
[thumbnail of Sage Data Set 1_Proof.pdf]
Preview
Text - Submitted Version
Download (561kB) | Preview

Export

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Downloads

Downloads per month over past year

View more statistics

Actions (login required)

Admin Login Admin Login