Demystifying qualitative data analysis in addiction research

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Professor Jo Neale

Professor in Addictions Qualitative Research

Jo Neale is Professor in Addictions Qualitative Research based within the Addictions Department at the Institute of Psychiatry, Psychology and Neuroscience, King’s College London. Jo is a qualified social worker and social scientist. Her research primarily focuses on the views and experiences of drug and alcohol users, both in and out of treatment, and she has a particular interest in individuals who have multiple and complex psychosocial needs. Jo’s publications include “Drug Users in Society”, “The Everyday Lives of Recovering Heroin Users” and “Research Methods for Health and Social Care”. She has also published book chapters and peer reviewed papers. Jo is the Senior Qualitative Editor for the international journal Addiction and an Adjunct Professor in the Centre for Social Research in Health at the University of New South Wales, Australia.


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. This workshop will be available to a maximum of 25 people on a first-come, first-served basis.


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. The second half of the workshop will take the form of a 'live experiment' as we jointly try out IC using some example raw data. Please note that this workshop will not cover data collection (e.g. conducting interviews or focus groups).


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