All qualitative researchers sample, yet methods of sampling and choosing cases have received relatively little attention compared to other qualitative methods.
This innovative book critically evaluates widely used sampling strategies, identifying key theoretical assumptions and considering how empirical and theoretical claims are made from these diverse methods.
Nick Emmel presents a groundbreaking reworking of sampling and choosing cases in qualitative research. Drawing on international case studies from across the social sciences he shows how ideas drive choices, how cases are used to work out the relation between ideas and evidence, and why it is not the size of a sample that matters, it is how cases are used to interpret and explain that counts.
Fresh, dynamic and timely, this book is essential reading for researchers and postgraduate students engaging with sampling and realism in qualitative research.
表中的内容
Introduction From Sampling to Choosing Cases
PART ONE: THE CASES
Theoretical Sampling
Purposeful Sampling
Theoretical or Purposive Sampling
PART TWO: CHOOSING CASES
The Basics of Realist Sampling
Purposive Work in a Realist Sampling Strategy
Purposefully Choosing Cases
Interpretation and Explanation
Sample Size
Choosing Cases in Qualitative Research
关于作者
Nick Emmel teaches research methods and the sociology and social policy of international health and health care at the School of Sociology and Social Policy, the University of Leeds. He has conducted extensive research in the UK and India interpreting and explaining processes of vulnerability, with a focus on inequalities and inequities in health.
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