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| Mathematical Models | 3 |
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| Beauchamp, George A. | 1 |
| Conran, Patricia C. | 1 |
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| Rindskopf, David | 1 |
| Walberg, Herbert J. | 1 |
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Peer reviewedRindskopf, David – New Directions for Program Evaluation, 1986
Modeling the process by which participants are selected into groups, rather than adjusting for preexisting group differences, provides the basis for several new approaches to the analysis of data from nonrandomized studies. Econometric approaches, the propensity scores approach, and the relative assignment variable approach to the modeling of…
Descriptors: Effect Size, Experimental Groups, Intelligence Quotient, Mathematical Models
Peer reviewedFischbach, Thomas J.; Walberg, Herbert J. – Journal of Educational Psychology, 1971
The methods used by Humphreys and Dachler to estimate effects in their analysis of Project TALENT data to test Jensen's Theory of Intelligence are shown to produce biased estimates. (Author/TA)
Descriptors: Intelligence Quotient, Mathematical Models, Racial Differences, Secondary School Students
Conran, Patricia C.; Beauchamp, George A. – 1976
The study, a seventh in a series of longitudinal studies, was an investigation of causal and other relationships among leadership, climate, teacher, and student variables in curriculum engineering. Quantitative measures included principals' leadership, organizational climate, teachers' attitudes, teachers' performance, and students' achievement.…
Descriptors: Academic Achievement, Curriculum, Curriculum Design, Curriculum Development


