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Algina, James; Olejnik, Stephen F. – Educational and Psychological Measurement, 1984
The Welch-James procedure may be used to test hypothesis on means, when independent samples from populations with heterogenous variances are available. Summation formulas for the Welch-James procedure are presented for the 2x2 design. Matrix formulas that permit routine application of the procedure to crossed factorial designs are presented.…
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Formulas, Matrices
Peer reviewed Peer reviewed
Haase, Richard F. – Educational and Psychological Measurement, 1983
This paper reviews the distinctions between classical and partial eta square and derives a formula for use in those complex analysis of variance designs in which the investigator desires a measure of classical eta square and has access only to the F-tests and relevant degrees of freedom. (Author/BW)
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Formulas, Research Design
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Garg, Rashmi – Educational and Psychological Measurement, 1983
This Monte Carlo study was designed to investigate empirically the efficacy of three statistical strategies for estimating the relationships in extreme group designs in terms of estimation of correlation, power and mean square error for the correlation. Alf and Abrahams's "covariance information statistic" proved to be the best strategy.…
Descriptors: Correlation, Evaluation Methods, Mathematical Formulas, Power (Statistics)
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Conger, Anthony J. – Educational and Psychological Measurement, 1981
Of particular interest to generalizability theory strategies is a relationship showing that integrated design variance components not involving attributes are identical with the average respective covariance components across attributes. An illustration is provided to demonstrate the relationships, strengths, and weaknesses of two strategies.…
Descriptors: Analysis of Covariance, Analysis of Variance, Anxiety, Higher Education
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Hsu, Louis M. – Educational and Psychological Measurement, 1980
In two treatment-repeated measurements designs, the ratio between the unbiased variance of the differences and twice the variance of the errors of measurement can be used to test for interaction of subjects and treatments. The use of this statistic is illustrated. (Author/CP)
Descriptors: Analysis of Variance, Aptitude Tests, Error of Measurement, Mathematical Formulas