Tag: Scaling up

Mar 21

Post#27: Dr Emma Davidson, Justin Chun-ting Ho and Prof Lynn Jamieson: Computational text analysis using R in Big Qual data: lessons from a feasibility study looking at care and intimacy

Today’s post is written by Dr Emma Davidson, and her colleagues Justin Chun-ting Ho and Professor Lynn Jamieson in Sociology at the University of Edinburgh. The blog considers the potentials and pitfalls of using R, a tool for computational text analysis, to get an overview of a large volume of qualitative data and to identify areas of salience …

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Mar 04

Post#25: Dr Susie Weller, Prof Rosalind Edwards, Prof Lynn Jamieson and Dr Emma Davidson: Selecting data sets to create new assemblages

The focus of today’s blog is on the process of identifying qualitative material from multiple archived data sets to bring together to conduct secondary analysis. This process is the first stage in a four-step breath-and-depth method we developed for analysing large volumes of qualitative data. We draw on our experiences of conducting the ESRC National …

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Jun 08

Guest post #3, Prof Rachel Thomson: Case histories in QLR

Rachel Thomson, Professor of Childhood & Youth Studies at the University of Sussex, writes our third guest post. Rachel is also one of the directors of the Sussex Humanities Lab. She has been involved in several qualitative longitudinal studies and has co-edited two special issues of the International Journal of Social Research Methodology on the …

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Mar 07

Welcome to the project

Welcome to the ‘Working across qualitative longitudinal studies’ collection of guest blog posts contributed by experts in the field. We created this collection of blog posts for two reasons. First, we were conscious that accounts of data management and analysis in qualitative research are often sanitised by the time they reach academic journals. We were, …

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