Qualitative data analysis

Leads: Dr Fiona Stevenson and Dr Nathan Davies

This session focuses on qualitative data analysis. It involves discussion of a range of ways of conducting analysis and the rationales for different approaches. The importance of decisions about transcription are stressed and participants are encouraged to critically reflect on the ways in which decisions throughout the research affect the type and extent of analysis possible. The place of data management software in qualitative analysis is considered, although participants are not taught how to use packages, rather the advantages and disadvantages are discussed. Participants conduct a thematic analysis on a piece of data, with discussion to reflect on the task to aid people in considering the best approach for their own work.

As far as possible, the day is tailored towards the research people are planning or doing at the time of the course.

Learning objectives

By the end of this session participants will be able to:

· Distinguish between different types of qualitative data analysis

· Recognise the importance of decisions relating to transcribing, reflexivity, field notes, double coding and data management

· Consider various approaches to analysis

· Understand the principles and practicalities of conducting a basic thematic analysis

· Evaluate the benefits of Computer Assisted Qualitative Data Analysis for their projects

This session does not provide training in the use of Computer Assisted Qualitative Data Analysis packages