psychometrika—vol. 83, no. 1, 275–278 March 2018 https://doi.org/10.1007/s11336-017-9593-6 BOOK REVIEW LEITE, W (2017). Practical Propensity Score Methods Using R. Thousand Oaks, CA: Sage Publications, p. 224, $50.00. ISBN: 978-1-4522-8888-8. How to make causal inference from quasi-experimental designs or observational studies is a key issue in social and behavioral research as well as many other ﬁelds. Propensity score methods (PSMs) (Rosenbaum & Rubin, 1983) have become popular techniques for reducing selection bias in an attempt to improve the validity of research for causal inference. In addition to many journal articles and tutorial workshops on propensity score methods, the recently published book, Practical Propensity Score Methods Using R (Leite, 2017), is a good and timely tool for promoting the practical use of PSMs in observational studies. 1. What is the Book About? Complementary to existing books on PSMs which are more theoretically based (e.g., GuoFraser, 2014; Pan & Bai, 2015), Leite’s book provides a practical guide for researchers and graduate students in the social and behavioral sciences on how to implement PSMs using the R software. The timing of the book is impeccable because it has become increasingly popular to use PSMs in observational studies. Although the literature contains a few
Psychometrika – Springer Journals
Published: Nov 17, 2017
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