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Handbook of Causal Analysis for Social Research

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Cover of 'Handbook of Causal Analysis for Social Research'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 A History of Causal Analysis in the Social Sciences
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    Chapter 3 Types of Causes
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    Chapter 4 Research Design: Toward a Realistic Role for Causal Analysis
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    Chapter 5 Causal Models and Counterfactuals
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    Chapter 6 Mixed Methods and Causal Analysis
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    Chapter 7 Fixed Effects, Random Effects, and Hybrid Models for Causal Analysis
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    Chapter 8 Heteroscedastic Regression Models for the Systematic Analysis of Residual Variances
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    Chapter 9 Group Differences in Generalized Linear Models
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    Chapter 10 Counterfactual Causal Analysis and Nonlinear Probability Models
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    Chapter 11 Causal Effect Heterogeneity
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    Chapter 12 New Perspectives on Causal Mediation Analysis
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    Chapter 13 Graphical Causal Models
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    Chapter 14 The Causal Implications of Mechanistic Thinking: Identification Using Directed Acyclic Graphs (DAGs)
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    Chapter 15 Eight Myths About Causality and Structural Equation Models
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    Chapter 16 Heterogeneous Agents, Social Interactions, and Causal Inference
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    Chapter 17 Social Networks and Causal Inference
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    Chapter 18 Partial Identification and Sensitivity Analysis
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    Chapter 19 What You Can Learn from Wrong Causal Models
Attention for Chapter 17: Social Networks and Causal Inference
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Citations

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Chapter title
Social Networks and Causal Inference
Chapter number 17
Book title
Handbook of Causal Analysis for Social Research
Published by
Springer, Dordrecht, January 2013
DOI 10.1007/978-94-007-6094-3_17
Book ISBNs
978-9-40-076093-6, 978-9-40-076094-3
Authors

Tyler J. VanderWeele, Weihua An, VanderWeele, Tyler J., An, Weihua

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Italy 1 2%
Unknown 44 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 37%
Student > Master 6 13%
Researcher 5 11%
Professor 3 7%
Student > Doctoral Student 3 7%
Other 7 15%
Unknown 5 11%
Readers by discipline Count As %
Social Sciences 14 30%
Economics, Econometrics and Finance 6 13%
Psychology 4 9%
Environmental Science 3 7%
Medicine and Dentistry 2 4%
Other 10 22%
Unknown 7 15%

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