Overview
- Addresses the main debates in the methodology of social inquiry
- Offers overview material on causal inference and covers many central issues in the identification of systems of causal relationships
- Brings together leading scholars in Sociology, Statistics, Public Health, Computer Science and Human Development
Part of the book series: Handbooks of Sociology and Social Research (HSSR)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
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.
Similar content being viewed by others
Keywords
Table of contents (19 chapters)
-
Front Matter
-
Background and Approaches to Analysis
-
Front Matter
-
-
Design and Modeling Choices
-
Front Matter
-
-
Beyond Conventional Regression Models
-
Front Matter
-
-
Systems of Causal Relationships
-
Front Matter
-
Reviews
“The book consists of six parts with 19 chapters presenting articles by leading experts on development of causal modeling in sociological methodologies. … The monograph presents a collection of modern methods and methodologies, which could be useful for researchers on causal analysis in social and related fields.” (Stan Lipovetsky and Igor Mandel, Technometrics, Vol. 57 (2), May, 2015)
“The handbook covers a wide range of important topics of causal inference and surely is an invaluable resource for students and researchers interested in the topic. … due to the exceptionally high quality, the clarity of presentation, and the many examples the handbook is well-suited for teaching methodology to advanced classes. … it will bring the field of causal inference forward and raise the methodological rigor of social science research in general.” (Tobias Wolbring, Mda Methods, data, analyses, Vol. 9 (1), 2015)
Editors and Affiliations
About the editor
Stephen L. Morgan is the Jan Rock Zubrow '77 Professor in the Social Sciences at Cornell University, Ithaca, NY, USA.
Bibliographic Information
Book Title: Handbook of Causal Analysis for Social Research
Editors: Stephen L. Morgan
Series Title: Handbooks of Sociology and Social Research
DOI: https://doi.org/10.1007/978-94-007-6094-3
Publisher: Springer Dordrecht
eBook Packages: Humanities, Social Sciences and Law, Social Sciences (R0)
Copyright Information: Springer Science+Business Media Dordrecht 2013
Hardcover ISBN: 978-94-007-6093-6Published: 04 May 2013
Softcover ISBN: 978-94-017-9407-7Published: 19 August 2014
eBook ISBN: 978-94-007-6094-3Published: 22 April 2013
Series ISSN: 1389-6903
Series E-ISSN: 2542-839X
Edition Number: 1
Number of Pages: XI, 424
Number of Illustrations: 63 b/w illustrations
Topics: Sociology, general, Methodology of the Social Sciences, Statistics for Social Sciences, Humanities, Law