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Propensity Score Analysis: Statistical Methods and Applications (Advanced Quantitative Techniques in the Social Sciences) (Englisch) Gebundene Ausgabe – 19. August 2014


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Pressestimmen

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. It offers a systematic review of the history, origins, and statistical foundations of propensity score analysis, and more.--NeoPopRealism Journal (04/23/2015)

Über den Autor und weitere Mitwirkende

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. Mark W. Fraser, PhD, holds the Tate Distinguished Professorship at the School of Social Work, University of North Carolina where he serves as associate dean for research. He has won numerous awards for research and teaching, including the Aaron Rosen Award and the Distinguished Achievement Award from the Society for Social Work and Research. His work focuses on risk and resilience, child behavior, child and family services, and research methods. Dr. Fraser has published widely, and, in addition to Social Policy for Children and Families, is the co-author or editor of eight 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, he and his colleagues describe resilience-based perspectives for child maltreatment, substance abuse, and other social problems. In Making Choices, Dr. Fraser and his co-authors outline a program to help children build sustaining social relationships. In The Context of Youth Violence, he explores violence from the perspective of resilience, risk, and protection, and in Intervention with Children and Adolescents, Dr. Fraser and his colleagues review advances in intervention knowledge for social and health problems. Intervention Research: Developing Social Programs describes the design and development of social programs. His most recent book is Propensity Score Analysis: Statistical Methods and Applications. Dr. Fraser serves as editor of the Journal of the Society for Social Work and Research. He is a fellow of the National Academies of Practice and the American Academy of Social Work and Social Welfare.


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Amazon.com: HASH(0x95a329a8) von 5 Sternen 5 Rezensionen
2 von 2 Kunden fanden die folgende Rezension hilfreich
HASH(0x979eb7e0) von 5 Sternen Good book; pity that code and data not yet on website (by Dec 2015) 3. Dezember 2015
Von Amazon Customer - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
Well-written book for applied researchers. I'm no statistician, but can follow this OK. Good balance of covering background + examples + code (focusing very much on Stata). Main disappointment is that by December 2015, the code is still not on the companion website. Hence left to search my way through which of the examples from the previous edition are covered in this edition.. No need to wait until all chapters covered, would be good for many of us if the code examples got to the end of Chapter 5. With a new technique, I count on being able to run some textbook examples with output to check against before trusting myself any actual analysis; so having the website as promised in the text is important practically.
HASH(0x960b7420) von 5 Sternen Five Stars 20. April 2016
Von judithg@evalustats.com - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
Excellent book.
0 von 2 Kunden fanden die folgende Rezension hilfreich
HASH(0x960b7300) von 5 Sternen Great reference. 21. Juli 2015
Von EG - Veröffentlicht auf Amazon.com
Format: Kindle Edition Verifizierter Kauf
Great overview of the field of propensity score analysis with great examples (though no actual code :( ) . My go to reference book.
0 von 3 Kunden fanden die folgende Rezension hilfreich
HASH(0x960b73f0) von 5 Sternen The first edition was a joy to read 2. Januar 2015
Von J. M. SINGH - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
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.
0 von 5 Kunden fanden die folgende Rezension hilfreich
HASH(0x96043318) von 5 Sternen Five Stars 5. Februar 2015
Von Steven Lewis - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
Great book!
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