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Peer reviewedNewman, Isadore; Thomas, Jay – Multiple Linear Regression Viewpoints, 1979
Fifteen examples using different formulas for calculating degrees of freedom for power analysis of multiple regression designs worked out by Cohen are presented, along with a more general formula for calculating such degrees of freedom. (Author/JKS)
Descriptors: Hypothesis Testing, Mathematical Models, Multiple Regression Analysis, Power (Statistics)
Peer reviewedWolfle, Lee M. – Multiple Linear Regression Viewpoints, 1979
With even the simplest bivariate regression, least-squares solutions are inappropriate unless one assumes a priori that reciprocal effects are absent, or at least implausible. While this discussion is limited to bivariate regression, the issues apply equally to multivariate regression, including stepwise regression. (Author/CTM)
Descriptors: Analysis of Variance, Correlation, Data Analysis, Least Squares Statistics
Peer reviewedFraser, 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


