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Causality in Policy Studies

Overview of attention for book
Cover of 'Causality in Policy Studies'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: The Elephant of Causation and the Blind Sages
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    Chapter 2 Causation in the Social Realm
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    Chapter 3 Counterfactuals with Experimental and Quasi-Experimental Variation
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    Chapter 4 Correlation Is Not Causation, Yet… Matching and Weighting for Better Counterfactuals
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    Chapter 5 Getting the Most Out of Surveys: Multilevel Regression and Poststratification
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    Chapter 6 Pathway Analysis, Causal Mediation, and the Identification of Causal Mechanisms
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    Chapter 7 Testing Joint Sufficiency Twice: Explanatory Qualitative Comparative Analysis
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    Chapter 8 Causal Inference and Policy Evaluation from Case Studies Using Bayesian Process Tracing
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    Chapter 9 Exploring Interventions on Social Outcomes with In Silico, Agent-Based Experiments
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    Chapter 10 The Many Threats from Mechanistic Heterogeneity That Can Spoil Multimethod Research
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    Chapter 11 Conclusions. Causality Between Plurality and Unity
Attention for Chapter 5: Getting the Most Out of Surveys: Multilevel Regression and Poststratification
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Chapter title
Getting the Most Out of Surveys: Multilevel Regression and Poststratification
Chapter number 5
Book title
Causality in Policy Studies
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-12982-7_5
Book ISBNs
978-3-03-112981-0, 978-3-03-112982-7
Authors

Ornstein, Joseph T.

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The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Social Sciences 1 100%

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