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Statistical Approaches to Causal Analysis
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Statistical Approaches to Causal Analysis

  • Matthew McBee - East Tennessee State University, USA, Data Scientist with Eastman Chemical Company in Kingsport, USA.
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May 2022 | 264 pages | SAGE Publications Ltd
A practical, up-to-date, step-by-step guidance on causal analysis for advancing students, this volume of the SAGE Quantitative Research kit features worked example datasets throughout to clearly demonstrate the appication of these powerful techniques, giving students the know-how and the confidence to succeed in their quantitative research journey.

Matthew McBee evaluates the issue of causal inference in quantitative research, while providing guidance on how to apply these analyses to your data, discussing key concepts such as:

·       Directed acyclic graphs (DAGs)

·       Rubin’s Causal Model (RCM)

·       Propensity Score Analysis

·       Regression Discontinuity Design


 
Introduction
 
Conditioning
 
Directed Acyclic Graphs
 
Rubin's Causal Model and the Propensity Score
 
Propensity Score Analysis
 
Instrumental Variable Analysis
 
Regression Discontinuity Design
 
Conclusion

This book is great for both reference and as a textbook. I will select some chapters as reading material for my course on Research methodology.

Professor Cinzia Meraviglia
Department of Social and Political Sciences, University of Milano
June 16, 2023

Sage College Publishing

You can purchase this book and request an instructor sample on our US College site:

Go To College Site

This title is also available on SAGE Research Methods, the ultimate digital methods library. If your library doesn’t have access, ask your librarian to start a trial.