This readable and comprehensive text is designed to equip students and practitioners with the statistical skills needed to meet government standards regarding public program evaluation. Even those with little statistical training will find the explanations clear, with many illustrative examples, case studies, and applications.
This readable and comprehensive text is designed to equip students and practitioners with the statistical skills needed to meet government standards regarding public program evaluation. Even those with little statistical training will find the explanations clear, with many illustrative examples, case studies, and applications.
1. What This Book Is About 2. Defensible Program Evaluations: Four Types of Validity 3. Internal Validity 4. Randomized Field Experiments 5. The Quasi Experiment 6. The Nonexperimental Design: Variations on the Multiple Regression Theme 7. Designing Useful Surveys for Evaluation 8. Summing It Up: Meta-Analysis
1. What This Book Is About 2. Defensible Program Evaluations: Four Types of Validity 3. Internal Validity 4. Randomized Field Experiments 5. The Quasi Experiment 6. The Nonexperimental Design: Variations on the Multiple Regression Theme 7. Designing Useful Surveys for Evaluation 8. Summing It Up: Meta-Analysis
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