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Impact Analysis for Program Evaluation
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Impact Analysis for Program Evaluation

  • Lawrence B. Mohr - University of Michigan, Ann Arbor, Center for the Improvement of Early Reading Achievement


February 1996 | 336 pages | SAGE Publications, Inc
Evaluators and applied researchers who want to enhance their understanding of research design and of threats to valid inference will find this book an effective guide.

The First Edition was popular for its integration of multiple regression with evaluation desig, and for offering systematic ways to select the proper goals for single- and multiple-outcome evaluations. This edition has been revised to cover new issues and to clarify further the concepts used in impact analysis. New features include: expanded coverage and explanation of quasi-experiments; a section on impact analysis theory; a section on the use of qualitative research for impact analysis; expanded coverage of significance testing for programme evaluation; an explanation of why the comparative-change design is better than an ex-post-facto design from the standpoint of causal inference; a clarification of the effects of volunteering or self-selection; and a new simplified appendix on regression artefacts.

 
The Evaluation Framework
 
Outcomes and the Problem
 
Subobjectives and Other Components
 
The Theory of Impact Analysis
Experiments and the Elementary Quasi-Experiments

 
 
The Regression Framework for Impact Analysis
 
The Regression-Discontinuity Design
 
The Comparative Change Design
 
The Criterion Population Design
 
Time-Series Designs
 
Ex Post Facto Evaluation Studies
 
Subobjectives, Causation, and the Qualitative Method
 
Multiple Outcomes

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