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Qualitative Longitudinal Research
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Qualitative Longitudinal Research
The craft of researching lives through time



December 2019 | SAGE Publications Ltd

Brimming with time maps, life history calendars, and extracts from transcripts and diaries, this book illustrates by example the unique principles, challenges, and applications of qualitative longitudinal research.

Synthesizing current literature on qualitative longitudinal research, it brings together sociological theory and empirically driven longitudinal studies while also highlighting a range of possible research approaches. With a consistent balance of conceptual discussions with hands-on advice, it provides readers with the foundation to adapt lessons-learned from other researchers to fit their own qualitative longitudinal studies.

Supported by research tools like coding frames, short data extracts, consent forms, transcription guidelines, and other data organization tools, this book provides everything postgraduate researchers need to transition from the classroom to the field. 

 
 
Part I: Conceptual Foundations
 
Chapter 1: Mapping the Field
 
Chapter 2: Time and the Life Course
 
Part II: Crafting Qualitative Longitudinal Research
 
Chapter 3: Design and Sampling
 
Chapter 4: Recruiting and Maintaining Samples
 
Chapter 5: Walking Alongside: The Ethics of Field Enquiry
 
Part III: Journeys with Data
 
Chapter 6: Generating Data
 
Chapter 7: Managing and Analysing Data
 
Chapter 8: Re-Visiting Data: The Ethics and Practice of Data Use
 
Chapter 9: Re-Presenting Data: The reliability and validity of qualitative longitudinal research
 
Post script: Looking Back, Looking Forwards

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Bren Neale

I am Director of the Timescapes ESRC Qualitative Longitudinal (QL) study and hold an ESRC fellowship to develop QL research methods. I also direct the Young Lives and Times project, designed to 'walk alongside' a varied sample of young people over a decade as their lives unfold. Within the Timescapes study, I am developing an innovative model for archiving and re-using QL research data, based on the principle of data sharing. More About Author

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