Welcome to the Propensity Score Analysis support site!
Propensity Score Analysis describes a family of new statistical techniques that are quite useful in estimating the effects of social and health programs. Written in an accessible fashion, the book “Propensity Score Analysis” (second edition) is intended for social behavioral researchers who conduct intervention research and program evaluation. It is the first of its kind to provide step-by-step instructions for running a wide range of propensity score models with the Stata software program.
The authors have provided examples found in “Propensity Score Analysis” (second edition) by chapter:
- PSA Chapter 4 text, Section 4.4.1
- PSA Chapter 4 text, Section 4.4.2
- PSA Chapter 4 text, Section 4.4.3
- PSA Chapter 4 data
- PSA Chapter 5 text, Section 5.8.1
- PSA Chapter 5 text, Sections 5.8.2 to 5.8.4
- PSA Chapter 5 text, Section 5.8.5
- PSA Chapter 5 text, Section 5.8.6
- PSA Chapter 5 data
- PSA Chapter 7 text, Section 7.3.1
- PSA Chapter 7 text, Section 7.3.2
- PSA Chapter 7 text, Section 7.3.3
- PSA Chapter 7 data
- PSA Chapter 10 text, Section 10.5
- PSA Chapter 10 text, Section 10.6.1
- PSA Chapter 10 text, Section 10.6.2
- PSA Chapter 10 data
(Contributors: Shanshan Du, Peter Sun, Shenyang Guo — Washington University in St. Louis)
Shenyang Guo, Ph.D., is the Frank J. Bruno Distinguished Professor of Social Work Research at Brown School, Washington University in St. Louis. He has done postdoctoral work at Brown University and held research associate or faculty appointments at the University of Michigan, Case Western Reserve University, the University of Tennessee, and the University of North Carolina at Chapel Hill. He is the author of numerous 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 that address 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) to NIH Summer Institute, Children’s Bureau, and the Society of Social Work and Research conferences. He also led data analysis planning for the National Survey of Child and Adolescent Well-Being (NSCAW) longitudinal analysis and has developed analytic strategies that address issues of weighting, clustering, growth modeling, and propensity score analysis.
In addition, Guo directed the analysis of data from the Making Choices Project, a National Institute on Drug Abuse and Institute of Education Sciences funded prevention trial. He has published many articles that include methodological works on the analysis of longitudinal data, multivariate failure time data, program evaluation, and multilevel modeling. He is on the editorial board of Social Service Review and a frequent guest reviewer for journals seeking a critique of advanced methodological analyses. He earned a master’s degree in economics from Fudan University and a Ph.D. in sociology from the University of Michigan.
Mark Fraser, Ph.D., is retired from the University of North Carolina at Chapel Hill, where he held the Tate Distinguished Professorship and served as associate dean of research for UNC School of Social Work. He has written numerous articles on risk and resilience, child behavior, child and family services, and research methods. In addition, he is the co-author or editor of nine books. These include “Families in Crisis,” a study of intensive family-centered services, and “Evaluating Family-Based Services,” a text on methods for family research.
In “Risk and Resilience in Childhood,” Fraser and his colleagues describe resilience-based perspectives for child maltreatment, school dropout, substance abuse, violence, unwanted pregnancy, and other social problems. In “Making Choices,” he and his co-authors outline a program to help children build enduring social relationships with peers and adults. In “The Context of Youth Violence,” he explores violence from the perspective of resilience, risk, and protection, and in “Intervention with Children and Adolescents,” Fraser and his colleagues review advances in intervention knowledge for social and health problems.
Fraser’s award-winning text, “Social Policy for Children and Families,” reviews the bases for public policy in child welfare, juvenile justice, mental health, developmental disabilities, and health. Published in 2009, “Intervention Research: Developing Social Programs” describes five steps in the design and development of social programs. His most recent book is “Propensity Score Analysis: Statistical Methods and Applications.”