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An Analysis of the Historical Regression Method of Predicting Posttest Grade Equivalents for Categorically-aided Programs
Peer reviewed Peer reviewed
Hick, Thomas L.; Irvine, David J. – Multiple Linear Regression Viewpoints, 1978
Historical regression uses the assumption that without intervention, growth at post-test will proceed at the same rate as at pre-test. Several methods of historical regression are compared with an illustrative example. (JKS)
Descriptors: Academic Achievement, Achievement Gains, Compensatory Education, Elementary Secondary Education
A Three-Year Ex Post Facto Study of Arithmetic Achievement for Elementary Pupils Eligible for a Remedial Arithmetic Program
Peer reviewed Peer reviewed
House, Gary D. – Multiple Linear Regression Viewpoints, 1978
The three-year impact of a remedial arithmetic program on eligible St. Louis Public School pupils was investigated. Hypotheses were tested through multiple linear regression models for analyses of covariance. No treatment effects were found. The study reveals that changes in future program evaluation designs are needed. (Author/JKS)
Descriptors: Academic Achievement, Analysis of Covariance, Arithmetic, Intermediate Grades