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Westermann, Rainer; Hager, Willi – Journal of Educational Statistics, 1986
The well-known problem of cumulating error probabilities is reconsidered from a general epistemological perspective, namely, the concepts of severity and of fairness of tests. It is shown that not only Type 1 but also Type 2 errors can cumulate. A new adjustment strategy is proposed and applied. (Author/JAZ)
Descriptors: Educational Research, Error of Measurement, Hypothesis Testing, Measurement Techniques

Zwick, Rebecca – Multivariate Behavioral Research, 1986
The purpose of the current study was to investigate the relative performance of the parametric, rank, and normal scores procedures when the classical assumptions were met and under violations of these assumptions. This investigation included the normal scores as well as the rank test. (LMO)
Descriptors: Hypothesis Testing, Mathematical Models, Measurement Techniques, Monte Carlo Methods
Routon, John Randy – 1977
This study was undertaken to identify the differences between asthmatic and nonasthmatic children, ages nine through twelve, on self-concept and attitudes toward physical education. It was anticipated that children having an asthmatic condition might reflect significantly different scores from their nonasthmatic peers at least partially…
Descriptors: Asthma, Comparative Analysis, Data Analysis, Elementary Education
Havlicek, Larry L. – 1972
The purpose of this study was to empirically determine the effects of quantified violations of the underlying assumptions of parametric statistical tests commonly used in educational research, namely the correlation coefficient (r) and the t test. The effects of heterogeneity of variance, nonnormality, and nonlinear transformations of scales were…
Descriptors: Analysis of Variance, Correlation, Educational Research, Evaluation Methods
Hummel, Thomas J.; Johnston, Charles B. – 1986
This study investigated seven methods for analyzing multivariate group differences. Bonferroni t statistics, multivariate analysis of variance (MANOVA) followed by analysis of variance (ANOVA), and five other methods were studied using Monte Carlo methods. Methods were compared with respect to (1) experimentwise error rate; (2) power; (3) number…
Descriptors: Analysis of Variance, Comparative Analysis, Correlation, Differences