Propensity Score Analysis: Statistical Methods and Applications (Advanced Quantitative Techniques in the Social Sciences) - Hardcover

Guo, Shenyang Y.; Fraser, Mark W.

4.31

16 ratings by Goodreads

9781412953566: Propensity Score Analysis: Statistical Methods and Applications (Advanced Quantitative Techniques in the Social Sciences)

Hardcover

ISBN 10: 1412953561 ISBN 13: 9781412953566

Publisher: SAGE Publications, Inc, 2009

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Propensity Score Analysis provides readers with a systematic review of the origins, history, and statistical foundations of PSA and illustrates how it can be used for solving evaluation problems. With a strong focus on practical applications, the authors explore various types of data and evaluation problems related to, strategies for employing, and the limitations of PSA. Unlike the existing textbooks on program evaluation, Propensity Score Analysis delves into statistical concepts, formulas, and models underlying the application.

Key Features

Presents key information on model derivations
Summarizes complex statistical arguments but omits their proofs
Links each method found in this book to specific Stata programs and provides empirical examples
Guides readers using two conceptual frameworks: the Neyman-Rubin counterfactual framework and the Heckman econometric model of causality
Contains examples representing real challenges commonly found in social behavioral research
Utilizes data simulation and Monte Carlo studies to illustrate key points
Presents descriptions of new statistical approaches necessary for understanding the four evaluation methods incorporated throughout the text

Intended Audience

This text is appropriate for graduate and doctoral students taking Evaluation, Quantitative Methods, Survey Research, and Research Design courses across business, social work, public policy, psychology, sociology, and health/medicine disciplines.

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About the Author:

Shenyang Guo, PhD, is the Kuralt Distinguished Professor at the School of Social Work, University of North Carolina. The author of numerous articles on statistical methods and research reports in child welfare, child mental health services, welfare, and health care, Guo has expertise in applying advanced statistical models to solving social welfare problems and has taught graduate courses on event history analysis, hierarchical linear modeling, growth curve modeling, and program evaluation. He has given many invited workshops on statistical methods—including event history analysis and propensity score matching—at the NIH Summer Institute, Children’s Bureau, and at conferences of the Society of Social Work and Research. He led the data analysis planning for the National Survey of Child and Adolescent Well-Being (NSCAW) longitudinal analysis.

Review:

"The approach the authors take in writing this book is very effective for novices and experiences users...This balance between the practical and applied approach is a useful model for researchers to understand the process and interpretation of these analyses...[it] goes a long way in making propensity score analysis techniques more accessible, understandable, and useful to psychologists." (Karl N. Kelley PsycCRITIQUES 2011-07-06)

"Guo and Fraser’s book Propensity Score Analysis: Statistical Methods and Applications is the first comprehensive book that discusses and compares different PS techniques from theoretical and practical points of view. One of the book’s strengths is its focus on the application of PS to real data.
[T]his textbook gives a good introduction to PS matching techniques and some alternative approaches for estimating causal treatment effects. With its many examples in Stata, it may be useful for graduate students and applied researchers who have no or limited experience with PS methods but are familiar with basic regression methods and mathematical/statistical notation." (Peter M. Steiner PSYCHOMETRIKA—VOL. 75, NO. 4, 775–777 2010-12-08)

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