We have been working with Dr Anna Tarrant during the course of our project (Anna was our first guest blogger – read again here). Anna’s research, ‘Men, Poverty and Lifetimes of Care’, is funded by the Leverhulme Trust and University of Leeds and is exploring change and continuities in the care responsibilities of men who are living on a low-income. Like our project, Anna is drawing on data from the Timescapes research programme, including Following Young Fathers and Intergenerational Exchange.
Anna has a great new article out in which she looks at how the secondary analysis of thematically related qualitative longitudinal (QL) datasets might be used productively in qualitative research design.
The article abstract is below, as is a link to the full text. Happy reading!
Anna Tarrant (2016): ‘Getting out of the swamp? Methodological reflections on using qualitative secondary analysis to develop research design’, International Journal of Social Research Methodology, DOI: 10.1080/13645579.2016.1257678
In recent years, the possibilities and pitfalls of qualitative secondary analysis have been the subject of on-going academic debate, contextualised by the growing availability of qualitative data in digital archives and the increasing interest of funding councils in the value of data re-use. This article contributes to, and extends these methodological discussions, through a critical consideration of how the secondary analysis of thematically related qualitative longitudinal (QL) datasets might be utilised productively in qualitative research design. It outlines the re-use of two datasets available in the Timescapes Archive, that were analysed to develop a primary empirical project exploring processes of continuity and change in the context of men’s care responsibilities in low-income families. As well as outlining the process as an exemplar, key affordances and challenges of the approach are considered. Particular emphasis is placed on how a structured exploration of existing QL datasets can enhance research design in studies where there is limited published evidence.