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| Evaluation Methods | 4 |
| Program Evaluation | 4 |
| Models | 3 |
| Research Methodology | 3 |
| Evaluators | 2 |
| Objectives | 2 |
| Qualitative Research | 2 |
| Statistical Analysis | 2 |
| Bias | 1 |
| Causal Models | 1 |
| Conflict | 1 |
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| New Directions for Program… | 4 |
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| Rallis, Sharon F., Ed. | 1 |
| Reichardt, Charles S., Ed. | 1 |
| Scriven, Michael | 1 |
| Sechrest, Lee, Ed. | 1 |
| Shadish, William R., Ed. | 1 |
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| Collected Works - Serials | 4 |
| Journal Articles | 4 |
| Reports - Evaluative | 4 |
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Peer reviewedShadish, William R., Ed. – New Directions for Program Evaluation, 1994
This special issue deals with the preparation of professional evaluators. Evaluation is considered as a profession that warrants specialized training. Aspects of necessary training and descriptions of current programs are discussed. (SLD)
Descriptors: Criteria, Evaluation Methods, Evaluators, Foreign Countries
Peer reviewedSechrest, Lee, Ed. – New Directions for Program Evaluation, 1993
Two chapters of this issue consider critical multiplism as a research strategy with links to meta analysis and generalizability theory. The unifying perspective it can provide for quantitative and qualitative evaluation is discussed. The third chapter explores meta analysis as a way to improve causal inferences in nonexperimental data. (SLD)
Descriptors: Causal Models, Evaluation Methods, Generalizability Theory, Inferences
Peer reviewedReichardt, Charles S., Ed.; Rallis, Sharon F., Ed. – New Directions for Program Evaluation, 1994
The eight articles of this issue examine the nature of differences that arise between qualitative and quantitative researchers in program evaluation in terms of goals and epistemologies. The origins of these differences and their consequences are explored. Authors represent both perspectives but do not defend their ideological turfs. (SLD)
Descriptors: Conflict, Epistemology, Evaluation Methods, Ideology
Peer reviewedScriven, Michael – New Directions for Program Evaluation, 1993
Seven chapters present 31 propositions challenging traditional ideas about the nature and practice of program evaluation. Methods to improve evaluation models and approaches and ways to address intermediate and advanced evaluation issues are explored. The discussion also serves as an introduction to the most analytical and comprehensive of the…
Descriptors: Bias, Evaluation Methods, Evaluation Problems, Evaluation Utilization
