Using Propensity Scores in Quasi-Experimental Designs
Holmes, William M. (Michael)
The author covers a wider range of software that is used with doing such analysis, and presents how propensity scores can be used to address issues in analyzing data from quasi-experimental designs, and which techniques should be used, and when. This book will clearly help students to understand the underlying concepts behind statistics, when they are used and how they are used. INDICE: PrefaceAcknowledgmentsAbout the AuthorChapter 1. Quasi-Experiments and Nonequivalent GroupsChapter 2. Causal Inference Using Control VariablesChapter 3. Causal Inference Using Counterfactual DesignsChapter 4. Propensity Approaches for Quasi-ExperimentsChapter 5. Propensity MatchingChapter 6. Propensity Score Optimized MatchingChapter 7. Propensities and Weighted Least Squares RegressionChapter 8. Propensities and Covariate ControlsChapter 9. Use With Generalized Linear ModelsChapter 10. Propensity With Correlated SamplesChapter 11. Handling Missing DataChapter 12. Repairing Broken ExperimentsAppendix A. Stata Commands for Propensity UseAppendix B. R Commands for Propensity UseAppendix C. SPSS Commands for Propensity UseAppendix D. SAS Commands for Propensity UseReferencesAuthor IndexSubject Index
- ISBN: 978-1-4522-0526-7
- Editorial: SAGE Publications, Inc
- Encuadernacion: Rústica
- Páginas: 360
- Fecha Publicación: 23/07/2013
- Nº Volúmenes: 1
- Idioma: