Qualitative Secondary Analysis: a multi-perspective discussion
Speaker(s):
Bio: Annie Irvine is a qualitative researcher with core interests mental health, employment and welfare policy. She holds a PhD by Publication, drawing on her applied empirical research on the complexities of managing common mental health problems in the workplace. Currently at the Centre for Society and Mental Health, King's College London, she is leading an ESRC-funded qualitative secondary analysis study drawing on the Welfare Conditionality Project archive. The secondary analysis focuses on representations of distress among UK welfare claimants with experience of mental health problems, and their implications for benefits assessment and support.
Bio: I am an early career research who is interested in youth transitions, welfare conditionality, and self-imrpvocment discourses. I have recently been awarded my PhD from the University of Glasgow, in which I adopted an innovative methodological appraoch of secondary analysis of qualitaive longitudinal data. I drew upon rich qualitaive data from the Welfare Conditionality Project (2013-2018) to recontextualise existing data to uncover fresh youth-centric expereinces of experiencing welfare conditionality over time.
Karen Tatham
Lisa Scullion
Bio: Sharon is Professor of Social Policy in the School of Social & Political Sciences at the University of Glasgow. She researches social security, Universal Credit, employment services, welfare conditionality, poverty and migrant essential workers. She will reflect on her role as an original investigator on the 'Big Qual' longitudinal ESRC Welfare Conditionality study (2013-19), her experiences of 'supplementary analysis' for her book on 'Women and Welfare Conditionality' (BUP, 2023) and engaging with other secondary analysis researchers.
Cassie Lovelock
Abstract:
Qualitative Secondary Analysis (QSA) is a method receiving growing attention, bolstered by support from the ESRC Secondary Data Analysis Initiative and implicitly endorsed by UKRI requirements to archive qualitative datasets. This panel will bring together five researchers, all working on the same archived dataset (the Welfare Conditionality project), but with diverse relationships to, and lenses on, the data. Applying Heaton’s (2004) typology of QSA approaches, our panel includes researchers from the original project team now conducting more in-depth investigation of emergent issues from the primary study (supplementary analysis) or combining the data with additional datasets (amplified analysis), and early career researchers who have accessed the archive and are approaching the data with new empirical and theoretical questions (supra analysis), some under the supervision of original project team members. Panellists will critically and reflexively discuss the opportunities and challenges afforded by their diverse relationships to the dataset and to each other.