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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 9: Group Differences in Generalized Linear Models
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Citations

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Chapter title
Group Differences in Generalized Linear Models
Chapter number 9
Book title
Handbook of Causal Analysis for Social Research
Published by
Springer, Dordrecht, January 2013
DOI 10.1007/978-94-007-6094-3_9
Book ISBNs
978-9-40-076093-6, 978-9-40-076094-3
Authors

Tim F. Liao, Liao, Tim F.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 38%
Student > Master 2 25%
Student > Doctoral Student 1 13%
Librarian 1 13%
Lecturer 1 13%
Other 1 13%
Readers by discipline Count As %
Social Sciences 5 63%
Business, Management and Accounting 1 13%
Environmental Science 1 13%
Agricultural and Biological Sciences 1 13%
Medicine and Dentistry 1 13%
Other 0 0%

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