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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 15: Eight Myths About Causality and Structural Equation Models
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Chapter title
Eight Myths About Causality and Structural Equation Models
Chapter number 15
Book title
Handbook of Causal Analysis for Social Research
Published by
Springer, Dordrecht, January 2013
DOI 10.1007/978-94-007-6094-3_15
Book ISBNs
978-9-40-076093-6, 978-9-40-076094-3
Authors

Kenneth A. Bollen, Judea Pearl, Bollen, Kenneth A., Pearl, Judea

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X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 830 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 18 2%
Spain 4 <1%
United Kingdom 4 <1%
Japan 3 <1%
Belgium 3 <1%
Portugal 3 <1%
Chile 2 <1%
Germany 2 <1%
Malaysia 2 <1%
Other 18 2%
Unknown 771 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 218 26%
Researcher 136 16%
Student > Master 83 10%
Student > Doctoral Student 58 7%
Professor > Associate Professor 49 6%
Other 186 22%
Unknown 100 12%
Readers by discipline Count As %
Social Sciences 145 17%
Psychology 140 17%
Business, Management and Accounting 88 11%
Agricultural and Biological Sciences 55 7%
Medicine and Dentistry 46 6%
Other 209 25%
Unknown 147 18%

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