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The Malpractice of Statistical Interpretation
Peer reviewed Peer reviewed
Fraas, John W.; Newman, Isadore – Multiple Linear Regression Viewpoints, 1978
Problems associated with the use of gain scores, analysis of covariance, multicollinearity, part and partial correlation, and the lack of rectilinearity in regression are discussed. Particular attention is paid to the misuse of statistical techniques. (JKS)
Descriptors: Achievement Gains, Analysis of Covariance, Correlation, Data Analysis
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 Multiple Regression Model for Research on Teacher Effects.
Peer reviewed Peer reviewed
Fraser, Barry J. – Multiple Linear Regression Viewpoints, 1979
A model for research on teacher effects in which the variance in student outcome post-test performance is attributed to pre-test perfomance; to separate construct domains of student, instructional, and teacher variables; and to interactions between variables in these three construct domains is presented and tested. (Author/JKS)
Descriptors: Achievement Gains, Foreign Countries, Junior High Schools, Mathematical Models