Demystifying Qualitative Data Analysis in Addiction Research

First published: 09/05/2019 | Last updated: May 20th, 2019

A workshop for PhD students and researchers who want to learn how best to manage and interpret textual data in a way that is transparent to others.

Although there are many recognized approaches to analyzing qualitative data, researchers seldom provide detailed accounts of how they turn their raw data into published documents. In the first half of the workshop, we will review some common misconceptions about qualitative data analyses and then introduce a technique known as Iterative Categorization (IC). IC is compatible with, and can support, most common analytic approaches (e.g. thematic analysis, Framework, content analysis, discourse analysis, interpretative phenomenological analysis and narrative analysis). The technique offers researchers a set of procedures to guide them through coding and analyses to publication, leaving a clear audit trail.

More information about Iterative Categorization can be found here

Read more about Qualitative Methods in the Addictions through the SSA Qualitative Methods Journal Club

November 2017


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Professor Jo Neale