Tasha Fairfield, Andrew E. Charman

Social Inquiry and Bayesian Inference

• Gebundenes Buch

Produktbeschreibung

Devises a rigorous, intuitive methodology for case-study research, helping social scientists and analysts make better inferences from qualitative evidence. Bayesianism provides guidance for rational reasoning under uncertainty, to make well-justified assessments about how strongly the information in hand supports one explanation over rivals.

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Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 682
• Erscheinungstermin: 1. Juli 2022
• Englisch
• Abmessung: 250mm x 175mm x 41mm
• Gewicht: 1337g
• ISBN-13: 9781108421645
• ISBN-10: 1108421644
• Artikelnr.: 62602487

Autorenporträt

Tasha Fairfield is an Associate Professor at the London School of Economics, with a Ph.D in political science from the University of California, Berkeley, and an M.S. in physics from Stanford University. Her publications include Private Wealth and Public Revenue in Latin America (Cambridge, 2015), which won the Donna Lee Van Cott Book Award.

Inhaltsangabe

Contents
Acknowledgements
Part I. Foundations: 1. Introduction: Bayesian reasoning for qualitative research
2. Fundamentals of Bayesian probability
Part II. Operationalizing Bayesian Reasoning in Qualitative Research: 3. Heuristic Bayesian reasoning
4. Explicit Bayesian analysis
5. Bayesian analysis with multiple cases
6. Hypotheses and priors revisited
7. Scrutinizing qualitative research
Part III. Bayesianism in Methodological Perspective: 8. Comparing logical Bayesianism to frequentism
9. A unified framework for inference
Part IV. Bayesian Implications for Research Design: 10. Iterative research
11. Test strength
12. Case selection
13. Worked examples
References
Contents
Index.