Impact Analysis for Program EvaluationSAGE Publications, 07/09/1995 - 311 páginas 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.
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... chance selection - Q effects contamination chance contamination chance tion threat . Nevertheless , selection - Q bias is itself a potentially large category , and the question of seriousness remains . Perhaps even though fewer threats ...
... chance . This becomes a better criterion than subjective judgment , at least to most of us these days , because we can generally use statistical inference to measure the probability of getting results like ours from chance alone in each ...
... chance insofar as possible . In a quasi - experiment , the treatment is introduced before the outcome is measured , so that we do not have to worry about the possibility that Y was the cause and T the effect . That being the case , it ...
Índice
The Evaluation Framework 123 | 1 |
Outcomes and the Problem | 13 |
1 Outcome Line | 16 |
Direitos de autor | |
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