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Finding Pathways: Mixed-Method Research for Studying Causal Mechanisms

Finding Pathways: Mixed-Method Research for Studying Causal Mechanisms

Finding Pathways: Mixed-Method Research for Studying Causal Mechanisms Hardback - 2014

by Nicholas Weller

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Hardback. New. This book introduces 'pathway analysis', a systematic technique for case selection for small-N research and a means to relate small and large-N research to each other. This approach will be invaluable for researchers and graduate students using mixed-methods research to study causal mechanisms.
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Details

  • Title Finding Pathways: Mixed-Method Research for Studying Causal Mechanisms
  • Author Nicholas Weller
  • Binding Hardback
  • Condition New
  • Pages 171
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Publication date 2014-07-03
  • Features Bibliography, Index
  • Bookseller's Inventory # B9781107041066
  • ISBN 9781107041066 / 1107041066
  • Weight 0.7 lbs (0.32 kg)
  • Dimensions 9.8 x 6.8 x 0.6 in (24.89 x 17.27 x 1.52 cm)
  • Themes
    • Aspects (Academic): Sociological
  • Category Politics / Current Events
  • Library of Congress subjects Social sciences - Research, Causation
  • Library of Congress Catalogue Number 2013427544
  • Dewey Decimal Code 300.72
  • Quantity available 10

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Reader reviews for Finding Pathways: Mixed-Method Research for Studying Causal Mechanisms

From the publisher

Social scientists have identified a need to move beyond the analysis of correlation among variables to the study of causal mechanisms that link them. Nicholas Weller and Jeb Barnes propose that a solution lies in 'pathway analysis', the use of case studies to explore the causal links between related variables. This book focuses on how the small-N component of multi-method research can meaningfully contribute and add value to the study of causal mechanisms. The authors present both an extended rationale for the unique role that case studies can play in causal mechanism research, and a detailed view of the types of knowledge that case studies should try to generate and how to leverage existing large-N data to guide the case selection process. The authors explain how to use their approach both to select cases and to provide context on previously studied cases.
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