Big Qual Analysis: Teaching Dataset

Weller, Susan, Davidson, Emma, Edwards, Rosalind and Jamieson, Lynn (2019) Big Qual Analysis: Teaching Dataset. University of Leeds https://doi.org/10.23635/14 [Dataset]

Abstract

Bespoke teaching data set for Timescapes Archive, containing six merged qualitative longitudinal data sets organised by gender and birth cohort. DETAIL: This data set is an outcome of an ESRC National Centre for Research Methods research project ‘Working across qualitative longitudinal studies: A feasibility study looking at care and intimacy’ (https://bigqlr.ncrm.ac.uk/). The study examined the possibilities for developing new procedures and extending good practice for working across multiple sets of archived qualitative data. Our aim was to see whether it is possible to do Big Qual analysis across large volumes of complex qualitative material while retaining all that is distinct about rigorous qualitative research. We were concerned with a volume of data too large for an individual researcher or small team to manage effectively. This data set is designed to help researchers get to grips with thinking about, handling and analysing large volumes of complex qualitative and qualitative longitudinal data (QLR), including working with multiple archived data sets. It comprises transcripts and metadata from 356 in-depth qualitative interviews with 150 individuals (born between 1908 and 2001) whose lives were followed over time as part of the Timescapes Qualitative Longitudinal initiative (2007-2012, http://www.timescapes.leeds.ac.uk/) . We extracted data from six of the core studies, merged the files into one data set and re-organised the material to enable users to explore the data over time and across the life course by gender and age cohort. Researchers wanting access to the data need to register with the Timescapes Archive (https://timescapes-archive.leeds.ac.uk/using-the-archive/register/) and agree terms and conditions.

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Contributors

Creator: Susan Weller

Creator: Rosalind Edwards

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