Descriptor
Source
| New Directions for Program… | 4 |
Author
| Conrad, Kendon J. | 1 |
| Hedges, Larry V. | 1 |
| Miller, Todd Q. | 1 |
| Sechrest, Lee | 1 |
| Varanelli, Andrew | 1 |
| Yeaton, William | 1 |
Publication Type
| Journal Articles | 4 |
| Reports - Research | 4 |
| Opinion Papers | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewedYeaton, William; Sechrest, Lee – New Directions for Program Evaluation, 1987
In no-difference research, no differences are found among groups or conditions. This article summarizes the existing commentary on such research. The characteristics of no-difference research, its acceptance by the research community, strategies for conducting such studies, and its centrality within the experimental and nonexperimental paradigms…
Descriptors: Evaluation Methods, Literature Reviews, Models, Program Evaluation
Peer reviewedHedges, Larry V. – New Directions for Program Evaluation, 1984
The adequacy of traditional effect size measures for research synthesis is challenged. Analogues to analysis of variance and multiple regression analysis for effect sizes are presented. The importance of tests for the consistency of effect sizes in interpreting results, and problems in obtaining well-specified models for meta-analysis are…
Descriptors: Analysis of Variance, Effect Size, Mathematical Models, Meta Analysis
Peer reviewedConrad, Kendon J.; Miller, Todd Q. – New Directions for Program Evaluation, 1987
A short history of program theory in evaluation is reviewed. Two related problems in program evaluation are discussed and illustrated: (1) how to specify in measurable terms the consensus of theories and values that guides the program; and (2) how to construct a theoretical framework that specifies the use of these measurements. (Author/JAZ)
Descriptors: Evaluation Methods, Evaluation Problems, History, Measurement Techniques
Peer reviewedVaranelli, Andrew – New Directions for Program Evaluation, 1981
The goal model is appropriate for evaluating effectiveness in complex service organizations because there are measurable outputs. An empirical method is provided for the identification and measurement of organizational goals. Perception of effectiveness could be improved if goals were made to coincide with the desires of user groups. (DWH)
Descriptors: Achievement Gains, Evaluation Methods, Management Information Systems, Models
