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Bentler, Peter M.; Woodward, J. Arthur – Evaluation Quarterly, 1978
The Head Start data analyzed by Magidson (1977) were reanalyzed using Joreskog's (1976) LISREL computer program methodology. The hypothesis that the Head Start program produced zero effects on the cognitive abilities of its participants was evaluated by several Chi Square tests. In all cases, the null hypothesis could not be rejected. (Author/CTM)
Descriptors: Analysis of Covariance, Computer Programs, Evaluation Methods, Mathematical Models
Magidson, Jay – Evaluation Quarterly, 1978
In a reply to the previous article (TM 503 435), Magidson disparages the arbitrary application of the .05 significance level to these data, responds to several assertions, and provides additional data in support of his original article showing positive effects for Project Head Start. (CTM)
Descriptors: Analysis of Covariance, Computer Programs, Evaluation Methods, Mathematical Models
Estes, Gary D.; Anderson, Judith I. – 1978
An empirical study was conducted in order to obtain treatment effect estimates with the Special Regression model for groups in which there was no treatment. General mathematics test scores were obtained from 730 ninth graders in city schools somewhat similar to Title I schools, but in which no special treatments were given. Hypothetical…
Descriptors: Achievement Gains, Arithmetic, Compensatory Education, Control Groups
Schumacker, Randall E. – 1992
The regression-discontinuity approach to evaluating educational programs is reviewed, and regression-discontinuity post-program mean differences under various conditions are discussed. The regression-discontinuity design is used to determine whether post-program differences exist between an experimental program and a control group. The difference…
Descriptors: Comparative Analysis, Computer Simulation, Control Groups, Cutting Scores
Horst, Donald P.; Tallmadge, G. Kasten – 1976
The orientation of this report is that of identifying educational projects which can be considered clearly exemplary. The largest section consists of a 22-step procedure for validating the effectiveness of educational projects using existing evaluation data. It is not intended as a guide for conducting evaluations but rather for interpreting data…
Descriptors: Academic Achievement, Achievement Gains, Compensatory Education, Control Groups