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Impact Analysis for Program Evaluation [Hardcover]

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  • Category: Books (Political Science)
  • Author:  Mohr, Lawrence B.
  • Author:  Mohr, Lawrence B.
  • ISBN-10:  0803959354
  • ISBN-10:  0803959354
  • ISBN-13:  9780803959354
  • ISBN-13:  9780803959354
  • Publisher:  SAGE Publications, Inc
  • Publisher:  SAGE Publications, Inc
  • Pages:  336
  • Pages:  336
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Jun-1995
  • Pub Date:  01-Jun-1995
  • SKU:  0803959354-11-MPOD
  • SKU:  0803959354-11-MPOD
  • Item ID: 100802543
  • Seller: ShopSpell
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  • Delivery by: Jan 19 to Jan 21
  • Notes: Brand New Book. Order Now.

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.

 

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.

 

The Evaluation Framework
Outcomes and the Problem
Subobjectives and Other Components
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