Propensity Score Analysis: Statistical Methods and Applications (Advanced Quantitative Techniques in the Social Sciences)
| Author | : | |
| Rating | : | 4.62 (853 Votes) |
| Asin | : | 1452235007 |
| Format Type | : | paperback |
| Number of Pages | : | 448 Pages |
| Publish Date | : | 2016-10-18 |
| Language | : | English |
DESCRIPTION:
Dr. He is a fellow of the National Academies of Practice and the American Academy of Social Work and Social Welfare.. Mark W. Dr. Fraser has published widely, and, in addition to Social Policy for Children and Families, is the co-author or editor of eight books. Fraser serves as editor of the Journal of the Society for Social Work and Research. The author of numerous articles on statistical methods and research reports in child welfar
"Propensity scores explained" according to Gro K. Rosvold Berntsen. A book on a complex subject which never the less manages to reach out to someone like me, who is not very fond of the statistical formulaes. This book explains clearly the upsides and downsides, and the controversial issues of propensity score analysis. Recommended for anyone who wants to try these techniques.. The first edition was a joy to read J. M. SINGH The first edition was a joy to read, this second edition improved upon the first edition with updated information and clarifies the methods, and discussions common in propensity score analysis. Worth the effort, time and money in reading this book.. "Five Stars" according to Steven Lewis. Great book!
Over the past 35 years, methods of program evaluation have undergone a significant change, and the researchers have recognized the need to develop more efficient approaches for assessing treatment effects from studies based on observational data and for evaluations based on quasi-experimental designs. Written by experts, this volume is updated and fully reflects the current changes to the field. (NeoPopRealism Journal 2015-04-23) . It offers a systematic review of the history, origins, and statistical foundations of propensity score analysis, and more
Fully updated to reflect the most recent changes in the field, the Second Edition of Propensity Score Analysis provides an accessible, systematic review of the origins, history, and statistical foundations of propensity score analysis, illustrating how it can be used for solving evaluation and causal-inference problems. Unlike existing textbooks on program evaluation and causal inference, this book delves into statistical concepts, formulas, and models within the context of a robust and engaging focus on application. With a strong focus on practical applications, the authors explore various strategies for employing PSA, discuss the use of PSA with alternative types of data, and delineate the limitations of PSA under a variety of constraints.