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An Analysis of the Historical Regression Method of Predicting Posttest Grade Equivalents for Categorically-aided Programs
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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
An Analysis of the Historical Regression Method of Predicting Posttest Grade Equivalents for Categorically-Aided Programs.
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Hick, Thomas L.; Irvine, David J. – 1978
To eliminate maturation as a factor in the pretest-posttest design, pretest scores can be converted to anticipate posttest scores using grade equivalent scores from standardized tests. This conversion, known as historical regression, assumes that without specific intervention, growth will continue at the rate (grade equivalents per year of…
Descriptors: Academic Achievement, Achievement Gains, Elementary Education, Grade Equivalent Scores