An Analysis of the Historical Regression Method of Predicting Posttest Grade Equivalents for Categorically-aided Programs.

Hick, Thomas L.; Irvine, David J.

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Peer reviewed

ERIC Number: EJ189665

Record Type: Journal

Publication Date: 1978

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An Analysis of the Historical Regression Method of Predicting Posttest Grade Equivalents for Categorically-aided Programs

Hick, Thomas L.; Irvine, David J.

Multiple Linear Regression Viewpoints, 8, 3, 18-25, Jun 78

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, Evaluation Methods, Mathematical Models, Multiple Regression Analysis, Pretesting, Pretests Posttests

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Language: English

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