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Handbook of Causal Analysis for Social Research

Overview of attention for book
Handbook of Causal Analysis for Social Research
Springer Netherlands

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 11: Causal Effect Heterogeneity
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Chapter title
Causal Effect Heterogeneity
Chapter number 11
Book title
Handbook of Causal Analysis for Social Research
Published by
Springer, Dordrecht, January 2013
DOI 10.1007/978-94-007-6094-3_11
Book ISBNs
978-9-40-076093-6, 978-9-40-076094-3
Authors

Jennie E. Brand, Juli Simon Thomas, Brand, Jennie E., Thomas, Juli Simon

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 61 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 21%
Student > Master 13 21%
Researcher 10 16%
Professor > Associate Professor 4 6%
Student > Doctoral Student 3 5%
Other 8 13%
Unknown 11 18%
Readers by discipline Count As %
Social Sciences 27 44%
Economics, Econometrics and Finance 7 11%
Agricultural and Biological Sciences 4 6%
Environmental Science 3 5%
Medicine and Dentistry 2 3%
Other 6 10%
Unknown 13 21%

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