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Statistical Approaches to Causal Analysis

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

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

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

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