
This book brings together chapters from leading scholars and researchers who have developed innovative theories and methods of Qualitative Secondary Analysis (QSA). Combined, the chapters provide a comprehensive introduction to the range of epistemological, ethical and pragmatic aspects of QSA. This book especially addresses researchers new to debates on qualitative data re-use. It aims to provide both depth of understanding of the key methodological challenges QSA entails, and also offer practical tools and strategies you can apply in your own research practice. To give a broad overview of the general methodological terrain of questions on QSA, our Introduction charts the rise of debates on Qualitative Secondary Analysis (QSA). We show how QSA has emerged as a distinct methodological approach in tandem with changes in the research data landscape. Our discussion briefly introduces the main critiques and challenges of QSA and we signpost to the relevant chapters where such questions are addressed in depth. As with all other chapters in this volume, we include pedagogical resources at the conclusion of this chapter along with references.
L300 - Sociology, Qualitative Secondary Analysis, Data re-use, 300
L300 - Sociology, Qualitative Secondary Analysis, Data re-use, 300
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 31 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
