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Hummel, Thomas J.; Feltovich, Paul J. – 1974
In some correlational studies it is not reasonable to assume that bivariate observations are uncorrelated. An example would be a configural analysis in which two individuals are correlated across several variables (e.g., Q-technique). The present study was a Monte Carlo investigation of the robustness of techniques used in judging the magnitude of…
Descriptors: Computer Programs, Correlation, Hypothesis Testing, Matrices

Huynh, Huynh; Feldt, Leonard S. – Journal of Educational Statistics, 1976
When the variance assumptions of a repeated measures ANOVA are not met, the F distribution of the mean square ratio should be adjusted by the sample estimate of the Box correction factor. An alternative is proposed which is shown by Monte Carlo methods to be less biased for a moderately large factor. (RC)
Descriptors: Analysis of Variance, Computer Programs, Hypothesis Testing, Matrices