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How to Think Like a Realist: A Methodology for Social Science [Mīkstie vāki]

  • Formāts: Paperback / softback, 304 pages, height x width: 234x156 mm
  • Sērija : How to Research Guides
  • Izdošanas datums: 12-Nov-2024
  • Izdevniecība: Edward Elgar Publishing Ltd
  • ISBN-10: 1035354802
  • ISBN-13: 9781035354801
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  • Cena: 48,15 €
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  • Formāts: Paperback / softback, 304 pages, height x width: 234x156 mm
  • Sērija : How to Research Guides
  • Izdošanas datums: 12-Nov-2024
  • Izdevniecība: Edward Elgar Publishing Ltd
  • ISBN-10: 1035354802
  • ISBN-13: 9781035354801
Citas grāmatas par šo tēmu:
How to Think Like a Realist is Ray Pawson’s seminal book on realist social inquiry, boldly linking social research to clinical and physical science and challenging many methodological shibboleths.



This unique book pairs outstanding clarity of detail with an accessible approach, exploring the three great methodological challenges in social research: how to think about causality, objectivity, and generality. Presented in accessible bite-sized episodes, it offers a rich diet of practical illustrations, enabling the reader to absorb the variety and breadth of realist inquiry. How to Think Like a Realist is written in Ray Pawson’s customary style; informed, bravely non-conformist and with a splash of mischief. Pawson offers a dextrous rebuttal to the threats that social inquiry faces in an era of post-truth. The text provides crucial guidance for those looking to better understand the central tenets of social science research methodology in the twenty-first century.



This innovative book will be an essential resource for students and early career researchers as well as experienced academics and practitioners from across all social science disciplines. Its breadth of coverage and accessibility makes it an ideal text for teaching social research methodology at both undergraduate and postgraduate levels.

Recenzijas

A masterful work. How to Think Like a Realist: A Methodology for Social Science consists of three parts, on the important but disputed concepts of causality, objectivity, and generality. Each part includes brief episodes filled with examples, insight, scholarship, and wit. Accessible enough for undergraduates but rich enough for seasoned scholars, this book deserves widespread attention. Even if you disagree in places, you will be engaged, enlightened, and entertained. -- Melvin M. Mark, The Pennsylvania State University (retired), US This book is clear. It is vibrant. And it is brilliant. What it has to say matters to philosophers, to practitioners and to those who are affected by the social science we practice. -- Nancy Cartwright, Durham University, UK and University of California at San Diego, US Accessible, thoughtful, provocative and entertaining, this book is a must read for every student in social sciences or human services, every policy maker and program designer, every commissioner - and every practitioner - of research or evaluation. It is a very readable introduction to the fundamental understandings without which our work may lead others astray. -- Gill Westhorp, Charles Darwin University, Australia Realist methodology is blossoming, and realist studies are burgeoning. This is no flash in the pan. Ray Pawsons work is both the product and the source of this intellectual evolution. The book makes the proposition that realist principles underpin science in all its guises and makes tiny, tentative steps in tracing the common realist tenets. If he is correct, we will be reading this manifesto for many years to come. -- Frans L. Leeuw, Maastricht University, the Netherlands

Contents:

Preface xiii

PART I HOW TO THINK ABOUT CAUSALITY
Introduction to Part I 2
Episode
1. The oldest maxim: correlation does not equal causation 6
Episode
2. Harrés distinction between successionist and
generative causation 10
Episode
3. Stinchcombes challenge to students (and the rest of us) 14
Episode
4. Newer maxims: contingency clouds causation;
mechanisms are not variables 17
Episode
5. Generative thinking in pharmaceutical inquiry: the
drug development pipeline 23
Episode
6. Provisos: the transience of causal relationships and
the influence of context 31
Episode
7. Mechanisms, contexts, and demi-regularities in social science 36
Episode
8. Causation and change: Colemans boat and the Caucus race 42
Episode
9. Causation in complex systems: boundary conditions
and stopping rules 50
Episode
10. Generative thinking in sociology I: Goldthorpe on
social mobility 59
Episode
11. Generative thinking in sociology II: Boudon on
educational inequality
Episode
12. Generative thinking in programme evaluation:
Pawson in prison 72
Episode
13. Generative thinking in comparative historical
research: wither protest movements? 77
Episode
14. Generative thinking in qualitative longitudinal
inquiry: following young fathers 82
Episode
15. Generative thinking in legislative analysis: Megans Law 87
Episode
16. Interlude 92

PART II HOW TO THINK ABOUT OBJECTIVITY
Introduction to Part II 96
Episode
17. The empiricist myth of direct, sensory observation 100
Episode
18. The constructivist myth of omnipresent, omnipotent opinion 105
Episode
19. The empiricist myth of balanced, impartial observation 111
Episode
20. The constructivist myth of partisan science 119
Episode
21. Objectivity reclaimed: introducing post-empiricist science 123
Episode
22. Theory-informed evidence: excavating data in social
science 133
Episode
23. Theory adjudication in social science 140
Episode
24. Building evidence networks in social science 146
Episode
25. Organised scepticism or mutual incomprehension? 152
Episode
26. Postscript: post-empiricism versus post-truth 156

PART III HOW TO THINK ABOUT GENERALITY
Introduction to Part III 165
Episode
27. Two modes of generality: simple and extensional 169
Episode
28. Generality in the spoken word: indexicality versus
abstraction 175
Episode
29. Generality in behavioural science: universal subjects
or WEIRD samples 182
Episode
30. Generality as typicality: the simplifications of sampling 189
Episode
31. Generality in medical science: how representative
are clinical trials? 198
Episode
32. Case studies and generality: transcending the single case? 207
Episode
33. Incremental steps to generality: within-case comparisons 215
Episode
34. Middle-range theory and the confederation of explanation 221
Episode
35. Populating, testing, and scoping middle-range theory 230
Episode
36. Research synthesis as generalisation 235
Episode
37. Comparison, complexity, and the specification of ignorance 243
Afterword 251
References 253
Ray Pawson, Emeritus Professor of Social Research Methodology, University of Leeds, UK