Impact Analysis for Program Evaluation

Mohr, Lawrence B.

ISBN 10: 0803959362 / ISBN 13: 9780803959361

Verlag: SAGE Publications, Incorporated, 1995

Beschreibung

Used book that is in excellent condition. May show signs of wear or have minor defects.

Bestandsnummer des Verkäufers 9455301-6

Bibliografische Details

• Titel: Impact Analysis for Program Evaluation
• Verlag: SAGE Publications, Incorporated
• Erscheinungsjahr: 1995
• Sprache: Englisch
• ISBN-10: 0803959362
• ISBN-13: 9780803959361
• Einband: Softcover
• Auflage: 2nd Edition.
• Zustand: Very Good

Über diesen Titel

Inhaltsangabe

"Clarifies the concepts used in impact analysis and provides in-depth methodologies for research." --Educator′s Update

"I learned much from reading the first edition of this book years ago, and this edition retains many of the positive features of that version, especially the regression framework and the lucid discussion of how regression discontinuity and randomized experimentation fit into that framework. I think that if this were the only book a person ever learned from, that person would be well-taught in the art of impact assessment, not be misled into going seriously wrong, and be more capable of doing impact assessment than most other applied social scientists."  

--William R. Shadish Jr., Memphis State University

Successful in the first edition for its integration of multiple regression with evaluation design and for its systematic ways to select the proper goals for single - and multiple - outcome evaluations, this new edition is more helpful than ever. Impact Analysis for Program Evaluation, Second Edition has been revised to cover new issues and to further clarify the concepts used in impact analysis. It offers expanded coverage and explanation of quasi-experiments, a new section on the theory of impact analysis, updated information on the use of qualitative research for impact analysis, and expanded coverage of significance testing for program evaluation. It also includes an explanation of why the comparative-change design (i.e., Campbell and Stanley′s "nonequivalent control group" 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 is offered, along with a new, simplified appendix on regression artifacts.

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 to improving the utility of their evaluation results.

Über die Autorin bzw. den Autor

Professor Mohr is currently working on a theoretical paper in program evaluation called An Exploration in the Theory of Valuing and a research monograph called The Impacts of Sponsored Research Dollars on Academic Institutions. The next project will be an edited volume with critique called The Case Study As a Research Design in Social Science.