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12 - Case Selection
from Part IV - Bayesian Implications for Research Design
Tasha Fairfield, London School of Economics and Political Science, Andrew E. Charman, University of California, Berkeley
Book:

Social Inquiry and Bayesian Inference

Published online:

28 July 2022

Print publication:

04 August 2022, pp 551-622
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Summary

This chapter elaborates Bayesian information-theoretic principles for optimal case selection and practical rules of thumb for real-world contexts.

11 - Test Strength
from Part IV - Bayesian Implications for Research Design
Tasha Fairfield, London School of Economics and Political Science, Andrew E. Charman, University of California, Berkeley
Book:

Social Inquiry and Bayesian Inference

Published online:

28 July 2022

Print publication:

04 August 2022, pp 507-550
- Chapter
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Summary

This chapter generalizes Van Evera’s typology of process tracing tests to a fully probabilistic context, introducing measures of anticipated test strength that will also be used in Chapter 11.