Handbook of Causal Analysis for Social Research
(Sprache: Englisch)
This book reviews the tremendous progress of the past 15 years in the causal analysis of non-experimental data, also known as observational data, and shows how to use state-of-the-art methods for causal analysis in basic and applied empirical scholarship.
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This book reviews the tremendous progress of the past 15 years in the causal analysis of non-experimental data, also known as observational data, and shows how to use state-of-the-art methods for causal analysis in basic and applied empirical scholarship.
Klappentext zu „Handbook of Causal Analysis for Social Research “
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.
Inhaltsverzeichnis zu „Handbook of Causal Analysis for Social Research “
- PrefaceChapter 1. Introduction; Stephen L. Morgan
PART I. BACKGROUND AND APPROACHES TO ANALYSIS
- Chapter 2. A History of Causal Analysis in the Social Sciences; Sondra N. Barringer, Erin Leahey and Scott R. Eliason
Chapter 3. Types of Causes; Jeremy Freese and J. Alex Kevern
PART II. DESIGN AND MODELING CHOICES
Chapter 4. Research Design: Toward a Realistic Role for Causal Analysis; Herbert L. Smith
- Chapter 5. Causal Models and Counterfactuals; James Mahoney, Gary Goertz and Charles C. Ragin
Chapter 6. Mixed Models and Counterfactuals; David J. Harding and Kristin S. Seefeldt
PART III. BEYOND CONVENTIONAL REGRESSION MODELS
Chapter 7. Fixed Effects, Random Effects, and Hybrid Models for Causal Analysis; Glenn Firebaugh, Cody Warner, and Michael Massoglia
Chapter 8. Heteroscedastic Regression Models for the Systematic Analysis of Residual Variance; Hui Zheng, Yang Yang and Kenneth C. Land
Chapter 9. Group Differences in Generalized Linear Models; Tim F. Liao
Chapter 10. Counterfactual Causal Analysis and Non-Linear Probability Models; Richard Breen and Kristian Bernt Karlson
Chapter 11. Causal Effect Heterogeneity; Jennie E. Brand and Juli Simon Thomas
- Chapter12. New Perspectives on Causal Mediation Analysis; Xiaolu Wang and Michael E. Sobel
PART IV. SYSTEMS AND CAUSAL RELATIONSHIPS
Chapter 13. Graphical Causal Models; Felix Elwert
Chapter 14. The Causal Implications of Mechanistic Thinking: Identification Using Directed Acyclic Graphs (DAGs); Carly R. Knight and Christopher Winship
Chapter 15. Eight Myths about Causality and Structural Equation Models; Kenneth A. Bollen and Judea Pearl
PART V. INFLUENCE AND INTERFERENCE
Chapter 16. Heterogeneous Agents, Social Interactions, and Causal Inference; Guanglei Hong and Stephen W. Raudenbush
Chapter 17. Social Networks and Causal Inference; Tyler J. VanderWeele and Weihua An
PART VI. RETREAT FROM EFFECT IDENTIFICATION
Chapter 18. Partial
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Identification and Sensitivity Analysis; Markus Gangl
Chapter 19. What You can Learn from Wrong Causal Models; Richard Berk, Lawrence Brown, Edward George, Emil Pitkin, Mikhail Traskin, Kai Zhang and Linda Zhao
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Chapter 19. What You can Learn from Wrong Causal Models; Richard Berk, Lawrence Brown, Edward George, Emil Pitkin, Mikhail Traskin, Kai Zhang and Linda Zhao
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Autoren-Porträt
Stephen L. Morgan is the Jan Rock Zubrow '77 Professor in the Social Sciences at Cornell University, Ithaca, NY, USA.
Bibliographische Angaben
- 2014, 2013., 424 Seiten, Maße: 17,8 x 25,4 cm, Kartoniert (TB), Englisch
- Herausgegeben:Morgan, Stephen L
- Herausgegeben: Stephen L. Morgan
- Verlag: Springer Netherlands
- ISBN-10: 9401794073
- ISBN-13: 9789401794077
- Erscheinungsdatum: 19.08.2014
Sprache:
Englisch
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