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Timm, Neil H. – Multivariate Behavioral Research, 1995
The finite intersection test (FIT) developed by P. K. Krishnaiah (1964, 1965) is discussed and compared with more familiar methods for simultaneous inference. How the FIT can be used to analyze differences among all means for both univariate and multivariate experimental designs is explained. (SLD)
Descriptors: Comparative Analysis, Equations (Mathematics), Multivariate Analysis, Statistical Inference
Thompson, Bruce – 1987
Canonical correlation analysis is illustrated and three common fallacious interpretation practices are described. Simply, canonical correlation is an example of the bivariate case. Like all parametric methods, it involves the creation of synthetic scores for each person. It presumes at least two predictor variables and at least two criterion…
Descriptors: Correlation, Multivariate Analysis, Research Problems, Statistical Bias
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Cliff, Norman; Charlin, Ventura – Multivariate Behavioral Research, 1991
Variance formulas of H. E. Daniels and M. G. Kendall (1947) are generalized to allow for the presence of ties and variance of the sample tau correlation. Applications of these generalized formulas are discussed and illustrated using data from a 1965 study of contraceptive use in 15 developing countries. (SLD)
Descriptors: Analysis of Covariance, Analysis of Variance, Contraception, Developing Nations
Rasberry, Sandra; Turner, James S. – 1988
The purpose of this study was to compare students enrolled in an alternative school with students in a traditional school on the bases of academic achievement and attitudes toward school subjects. The subjects were 33 sixth-grade students who attended an open education school modeled after the British infant school. The control group consisted of…
Descriptors: Achievement Rating, Achievement Tests, Attitude Measures, Classroom Environment