Qualitative Data Analysis: Analytical Strategies for Qualitative Longitudinal Research

This Advanced Qualitative Methods training is open to all ESRC and non-ESRC funded students within the seven WRDTP partner institutions. Students are welcome from all seven interdisciplinary Pathways.

This one-day on-line workshop will provide an introduction to qualitative data analysis, drawing on the broad analytical principles and strategies commonly used by qualitative researchers, and applying them in the context of Qualitative Longitudinal Research. The interactive sessions will include two lectures and two workshops, followed by one-to-one research surgeries. A course pack, comprising power point slides and analytical data files, will be sent to all delegates before the course begins.

This course course is designed to equip doctoral researchers with the basic skills and knowledge needed to develop an analytical strategy for their qualitative research and to support them in in the analysis of their qualitative/qualitative longitudinal data.

One to one surgeries with Bren: There will be up to six 10 minutes slots held after the final workshop, which delegates can book in advance during the breaks. More details about how to book these slots will be sent out to delegates before the course.

Speaker

Professor Bren Neale
Bren Neale is Emeritus Professor of Life course and Family Research (University of Leeds, School of Sociology and Social Policy, UK) and a fellow of the Academy of Social Sciences (elected in 2010). Bren specialises in research on the dynamics of family life and inter-generational relationships, and has published widely in this field.

Bren is a leading expert in Qualitative Longitudinal (QL) research methodology. From 2007 to 2012 she directed the Economic and Social Research Council-funded Timescapes Initiative (www.timescapes.leeds.ac.uk), as part of which she has advanced QL methods across academia, and in Government and NGO settings. She continues to provide support and training in this methodology for new and established researchers across the disciplines.

Course reader

Neale, B (2021) The Craft of Qualitative Longitudinal Research. London: Sage: Chapters 8 to 10 on analytical strategies and practice

Recommended/ further reading

Bidart, C. (2019) ‘How plans change: Anticipation, interference and unpredictabilities’, Advances in Life Course Research, 41 (Sept).

Bidart, C., Longo, M. and Mendez, A. (2013) ‘Time and process: An operational framework for processual analysis’ European Sociological Review, 29 (4): 743-51.

Grossoehme, D. and Lipstein, E. (2016) ‘Analysing longitudinal qualitative data: The application of trajectory and recurrent cross-sectional approaches, BMC Research Notes, 9: 136

Gruber, H. (1981) ‘On the relationship between ‘aha’ experiences and the construction of ideas’ History of Science, 19 (1): 41-59

Lewis, J. (2007) ‘Analysing qualitative longitudinal research in evaluations’ Social Policy and Society, 6 (4): 545-56.

Maxwell, J. (2004) ‘Using qualitative methods for causal explanations’ Field Methods, 16 (3): 243-64.

Maxwell, J. (2012) A Realist Approach for Qualitative Research. London: Sage.

Mishler, E. ‘Models of narrative analysis: A typology’, Journal of Narrative & Life History 5(2): 87-123.

Pettigrew, A. (1997) ‘What is a processual analysis?’ Scandinavian Journal of Management, 13 (4): 337-48.

Ritchie, J. and Lewis, J. (eds) (2003) Qualitative Research Practice. London: Sage.

Saldana, J. (2002 Analysing change in longitudinal qualitative data Youth Theatre Journal 16 (1): 1-17.

Spiers, J., Smith, J. and Drage, M. (2016) ‘A longitudinal interpretive phenomenological analysis of the process of kidney recipients’ resolution of complex ambiguities with relationships with their living donors’ Journal of Health Psychology, 21 (11): 2600-11.

Thomson, R. (2007) ‘The qualitative longitudinal case history: Practical, methodological and ethical reflections’, Social Policy and Society, 6 (4): 571-82.

This training session will be delivered via Zoom.

PLEASE NOTE: Our online training sessions will be recorded and will be available on the VIRE in an edited format for those students who cannot attend. If you wish to join this session but do not wish for your contributions to be included in the edited VIRE resource, please ensure that you select NO when prompted in the online booking form regarding recording.