Trending Bestseller

Impact Analysis for Program Evaluation

No reviews yet Write a Review
Paperback / softback
336 Pages
$342.50
Ships in 3-5 business days

Delivery estimate

Hurry up! Current stock:

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 Stanleyundefineds "nonequivalent control group" design) is better than an ex post facto design from the standpoint of causal inference.

Product Details
ISBN-13
9780803959361
Author
Lawrence B. Mohr
Publisher
SAGE PUBLICATIONS
Format
Paperback / softback
Pages
336

This product hasn't received any reviews yet. Be the first to review this product!

$342.50
Ships in 3-5 business days

Delivery estimate

Hurry up! Current stock:

Impact Analysis for Program Evaluation

$342.50

Description

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 Stanleyundefineds "nonequivalent control group" design) is better than an ex post facto design from the standpoint of causal inference.