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Handbook of Causal Analysis for Social Research

  • Stephen L. Morgan

Part of the Handbooks of Sociology and Social Research book series (HSSR)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Stephen L. Morgan
    Pages 1-5
  3. Background and Approaches to Analysis

    1. Front Matter
      Pages 7-7
    2. Sondra N. Barringer, Scott R. Eliason, Erin Leahey
      Pages 9-26
    3. Jeremy Freese, J. Alex Kevern
      Pages 27-41
  4. Design and Modeling Choices

    1. Front Matter
      Pages 43-43
    2. James Mahoney, Gary Goertz, Charles C. Ragin
      Pages 75-90
    3. David J. Harding, Kristin S. Seefeldt
      Pages 91-110
  5. Beyond Conventional Regression Models

    1. Front Matter
      Pages 111-111
    2. Glenn Firebaugh, Cody Warner, Michael Massoglia
      Pages 113-132
    3. Richard Breen, Kristian Bernt Karlson
      Pages 167-187
    4. Jennie E. Brand, Juli Simon Thomas
      Pages 189-213
    5. Xiaolu Wang, Michael E. Sobel
      Pages 215-242
  6. Systems of Causal Relationships

    1. Front Matter
      Pages 243-243
    2. Felix Elwert
      Pages 245-273
    3. Kenneth A. Bollen, Judea Pearl
      Pages 301-328
  7. Influence and Interference

    1. Front Matter
      Pages 329-329
    2. Guanglei Hong, Stephen W. Raudenbush
      Pages 331-352
    3. Tyler J. VanderWeele, Weihua An
      Pages 353-374
  8. Retreat from Effect Identification

    1. Front Matter
      Pages 375-375
    2. Richard A. Berk, Lawrence Brown, Edward George, Emil Pitkin, Mikhail Traskin, Kai Zhang et al.
      Pages 403-424

About this book

Introduction

What constitutes a causal explanation, and must an explanation be causal? What warrants a causal inference, as opposed to a descriptive regularity? What techniques are available to detect when causal effects are present, and when can these techniques be used to identify the relative importance of these effects? What complications do the interactions of individuals create for these techniques? When can mixed methods of analysis be used to deepen causal accounts? Must causal claims include generative mechanisms, and how effective are empirical methods designed to discover them? The Handbook of Causal Analysis for Social Research tackles these questions with nineteen chapters from leading scholars in sociology, statistics, public health, computer science, and human development.  

Keywords

Causal Analysis in the Social Sciences Causal inference Causality and Structural Equation Models Cause-effect Counterfactuals Causal Analysis Hybrid Models for Causal Analysis Partial Identification Research Design Social Networks Sociological Methodology Using Directed Acyclic Graphs (DAGs)

Editors and affiliations

  • Stephen L. Morgan
    • 1
  1. 1., Department of SociologyCornell UniversityIthacaUSA

Bibliographic information