Morgan, Stephen L. ed., Handbook of Causal Analysis for Social Research, (2013)

 

Handbook of Causal Analysis for Social Research (Handbooks of Sociology and Social Research)

Handbook of Causal Analysis for Social Research (Handbooks of Sociology and Social Research)

 

1 Introduction (Stephen L. Morgan)

 

Part I Background and Approaches to Analysis
2 A History of Causal Analysis in the Social Sciences (Sondra N. Barringer, Scott R. Eliason, Erin Leahey)
3 Types of Causes (Jeremy Freese, J. Alex Kevern)

 

Part II Design and Modeling Choices
4 Research Design: Toward a Realistic Role for Causal Analysis (Herbert L. Smith)
5 Causal Models and Counterfactuals (James Mahoney, Gary Goertz, Charles C. Ragin)
6 Mixed Methods and Causal Analysis (David J. Harding, Kristin S. Seefeldt)

 

Part III Beyond Conventional Regression Models
7 Fixed Effects, Random Effects, and Hybrid Models for Causal Analysis (Glenn Firebaugh, Cody Warner, Michael Massoglia)
8 Heteroscedastic Regression Models for the Systematic Analysis of Residual Variances (Hui Zheng, Yang Yang, Kenneth C. Land)
9 Group Differences in Generalized Linear Models (Tim F. Liao)
10 Counterfactual Causal Analysis and Nonlinear Probability Models (Richard Breen, Kristian Bernt Karlson)
11 Causal Effect Heterogeneity (Jennie E. Brand, Juli Simon Thomas)
12 New Perspectives on Causal Mediation Analysis (Xiaolu Wang, Michael E. Sobel)

 

Part IV Systems of Causal Relationships
13 Graphical Causal Models (Felix Elwert)
14 The Causal Implications of Mechanistic Thinking: Identification Using Directed Acyclic Graphs (DAGs) (Carly R. Knight, Christopher Winship)
15 Eight Myths About Causality and Structural Equation Models (Kenneth A. Bollen, Judea Pearl)

 

Part V Influence and Interference
16 Heterogeneous Agents, Social Interactions, and Causal Inference (Guanglei Hong and StephenW. Raudenbush)
17 Social Networks and Causal Inference (Tyler J. VanderWeele and Weihua An)

 

Part VI Retreat from Effect Identification
18 Partial Identification and Sensitivity Analysis (Markus Gangl)
19 What You Can Learn fromWrong Causal Models (Richard A. Berk, Lawrence Brown, Edward George, Emil Pitkin, Mikhail Traskin, Kai Zhang, and Linda Zhao)