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Budescu, David V. – Educational and Psychological Measurement, 1982
An empirical study of the power of the F test in normal populations with variances proportional to the cell means is reported. The results indicate that the power of the test can be approximated by the noncentral F distribution with a modified parameter of noncentrality. (Author/CM)
Descriptors: Hypothesis Testing, Research Problems, Statistical Analysis
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Martin, Charles G.; Games, Paul A. – Journal of Experimental Education, 1981
Power and stability of Type I error rates are investigated for the Box-Scheffe test of homogeneity of variance with varying subsample sizes under conditions of normality and nonnormality. The test is shown to be robust to violation of the normality assumption when sampling is from a leptokurtic population. (Author/GK)
Descriptors: Hypothesis Testing, Mathematical Formulas, Statistical Analysis
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Willson, Victor L. – Educational and Psychological Measurement, 1980
Guilford's average interrater correlation coefficient is shown to be related to the Friedman Rank Sum statistic. Under the null hypothesis of zero correlation, the resultant distribution is known and the hypothesis can be tested. Large sample and tied score cases are also considered. An example from Guilford (1954) is presented. (Author)
Descriptors: Correlation, Hypothesis Testing, Mathematical Formulas, Reliability
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Morrow, James R.; Hopkins, Kenneth D. – Journal of Experimental Education, 1979
The F-distribution approximation suggested by Dixon was investigated at various combinations of alpha and degrees of freedom. Tabled values were compared with values computed utilizing the suggested formula. (Author/GSK)
Descriptors: Hypothesis Testing, Mathematical Formulas, Statistical Analysis
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Kraemer, Helena Chmura – Journal of Educational Statistics, 1980
The robustness of hypothesis tests for the correlation coefficient under varying conditions is discussed. The effects of violations of the assumptions of linearity, homoscedasticity, and kurtosis are examined. (JKS)
Descriptors: Correlation, Hypothesis Testing, Reliability, Statistical Analysis
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Armenakis, Achilles A.; And Others – Educational and Psychological Measurement, 1977
The coefficient of congruence is a quantitative measure of the similarity of factor structures for different samples of subjects. This paper is intended to inform interested readers of the availability of a computer program capable of computing coefficients of congruence of factor structures. (Author)
Descriptors: Computer Programs, Factor Analysis, Hypothesis Testing
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Schafer, William D. – Educational and Psychological Measurement, 1977
This program generates maximum likelihood estimates of the parameters of a mixture of two normal distributions and tests the significance of the mixture hypothesis against that of a single normal distribution. (Author)
Descriptors: Computer Programs, Hypothesis Testing, Statistical Analysis
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Coombs, William T.; And Others – Review of Educational Research, 1996
Methods to compare population means in the univariate case and population mean vectors in the multivariate case are presented in terms of hypotheses tested by various procedures. Tests relevant to each hypothesis are described and compared in terms of maximizing power while controlling Type I error rates over the widest variety of conditions. (SLD)
Descriptors: Comparative Analysis, Hypothesis Testing, Multivariate Analysis
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Vargha, Andras; Delaney, Harold D. – Journal of Educational and Behavioral Statistics, 1998
A theorem is developed to show that the Kruskal-Wallis test (W. Kruskal and W. Wallis, 1952) (KWt) can be used validly to test a hypothesis about location under much less restrictive conditions than required by the recently accepted, mathematically correct shift model. The specific null hypothesis for which the KWt can be used validly is…
Descriptors: Hypothesis Testing, Mathematical Models, Test Validity
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Olejnik, Stephen; Li, Jianmin; Huberty, Carl J.; Supattathum, Suchada – Journal of Educational and Behavioral Statistics, 1997
The difference in statistical power between the original Bonferroni and five modified Bonferroni procedures that control the overall Type I error rate is examined in the context of a correlation matrix where multiple null hypotheses are tested. Power differences of less than 0.05 were typically observed for the modified Bonferroni procedures. (SLD)
Descriptors: Correlation, Hypothesis Testing, Matrices, Power (Statistics)
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Lecoutre, Bruno; Charron, Camilo – Journal of Educational and Behavioral Statistics, 2000
Illustrates procedures for prediction analysis in 2 X 2 contingency tables through the analyses of solutions of six types of problems associated with the acquisition of fractions. Reviews and extends confidence interval procedures previously proposed for an index of predictive efficiency of implication hypotheses. Compares frequentist coverage…
Descriptors: Bayesian Statistics, Hypothesis Testing, Prediction, Probability
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Wilcox, Rand R. – Journal of Educational and Behavioral Statistics, 2001
Discusses problems in detecting nonlinear associations and investigates the use of two statistics for this purpose. Simulation results suggest that the Cramer-von Mises form of the test statistic is generally better than the Kolmogorov-Smirnov form. Discusses the power of this method. (SLD)
Descriptors: Correlation, Hypothesis Testing, Simulation, Statistical Analysis
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Watters, Christopher – Cell Biology Education, 2005
In this paper, the author reviews recently published videos that depict the roles played by myosin II in contraction of the cortical ring during cellularization and cytokinesis in early development (Royou et al., 2004), by spindle and astral microtubules in regulating the formation of cleavage furrows during the cleavage of primary spermatocytes…
Descriptors: Video Technology, Cytology, Embryology, Hypothesis Testing
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Wolfe, Joseph; Luethge, Denise J. – Journal of Education for Business, 2003
Some game users have contended that students can be successful in games even if they "know little" about the rules and the underlying business theories driving them. Thus, if teams are uninvolved, it is possible that successful game play may not impart the learning typically found in experiential exercises nor that designed into games by their…
Descriptors: Games, Hypothesis Testing, Simulation, Computer Simulation
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Lozano, Sandra C.; Martin Hard, Bridgette; Tversky, Barbara – Journal of Experimental Psychology: Human Perception and Performance, 2006
People often learn actions by watching others. The authors propose and test the hypothesis that perspective taking promotes encoding a hierarchical representation of an actor's goals and subgoals-a key process for observational learning. Observers segmented videos of an object assembly task into coarse and fine action units. They described what…
Descriptors: Perspective Taking, Observational Learning, Hypothesis Testing
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