Macartan Humphreys (Wissenschaftszentrum Berlin fur Sozialforschung, Alan M. Jacobs (Vancouver University of British Columbia)

Integrated Inferences

Causal Models for Qualitative and Mixed-Method Research

• Broschiertes Buch

Produktbeschreibung

Introduces a Bayesian approach to the use of causal models to design and carry out qualitative and mixed-methods research. Addressed to researchers across the social sciences, this book shows how causal models allow us to combine extensive and intensive data strategies to answer both general and case-specific causal questions.

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Produktdetails

• Strategies for Social Inquiry
• Verlag: Cambridge University Press
• Seitenzahl: 300
• Erscheinungstermin: 30. November 2023
• Englisch
• Abmessung: 240mm x 170mm x 27mm
• Gewicht: 746g
• ISBN-13: 9781316620663
• ISBN-10: 1316620662
• Artikelnr.: 67791582

Autorenporträt

Macartan Humphreys is Professor of Political Science at Columbia University and Director of the Institutions and Political Inequality group at the WZB Berlin, conducting research on post-conflict development, ethnic politics, and democratic decision-making. He has been President of the APSA Experimental Political Science section and Executive Director of the Evidence on Governance and Politics network.

Inhaltsangabe

1. Introduction
I. Foundations: 2. Causal models
3. Illustrating causal models
4. Causal queries
5. Bayesian answers
6. Theories as causal models
II. Model-based causal inference: 7. Process tracing with causal models
8. Process tracing applications
9. Integrated inferences
10. Integrated inferences applications
11. Mixing models
III. Design choices: 12. Clue selection as a decision problem
13. Case selection
14. Going wide, going deep
IV. Models in question: 15. Justifying models
16. Evaluating models
17. Final words
V. Appendices: 18. Causal Queries
19. Glossary
Bibliography
Index.