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Peer reviewed
Shine, II, Lester C.; Stoup, Charles M. – Educational and Psychological Measurement, 1985
A method requiring minimal computational effort is presented for transforming ordered residuals for purposes of testing the correctness of a regression model. The method maintains the same logical ordering in the transformed residuals as that of the original residuals and is suitable for either correlated or uncorrelated data. (Author/BS)
Descriptors: Least Squares Statistics, Mathematical Models, Regression (Statistics), Research Methodology
Peer reviewed
Glasnapp, Douglas R. – Educational and Psychological Measurement, 1984
The concept of change is related to suppressor variable conditions in a least square regression model. The domain of conditions necessary for a weighted change score composite to emerge as an underlying construct is mapped and the information loss through arbitrary assignment of weights to a change composite is explored. (Author/BW)
Descriptors: Achievement Gains, Least Squares Statistics, Mathematical Models, Pretests Posttests
Peer reviewed
Shine, Lester C., II – Educational and Psychological Measurement, 1981
An integrated study of Shine's actualized and pure single-subject behavior functions can produce more information than studying only one function. After summarizing the mathematics behind Shine's viewpoint, an ordinary regression analysis approach to the actualized behavior function is integrated with a time-series analysis approach to the pure…
Descriptors: Behavior Theories, Least Squares Statistics, Mathematical Models, Operant Conditioning