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Shine, Lester C. – Educational and Psychological Measurement, 1975
For the Shine-Bower single-subject ANOVA the numerator and demoninator of all F tests based on the Shine-Bower error term are independent of each other. The same property holds for all such tests in the Shine Combined ANOVA except for the test for the trial by subject interaction. (Author/RC)
Descriptors: Analysis of Variance, Research Problems, Statistical Significance
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Brown, Bruce L.; Harshbarger, Thad R. – Educational and Psychological Measurement, 1976
A test is developed for hypotheses about the grand mean in the analysis of variance, using the known relationship between the t distribution and the F distribution with 1 df (degree of freedom) for the numerator. (Author/RC)
Descriptors: Analysis of Variance, Hypothesis Testing, Statistical Significance
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Lunney, Gerald H. – Journal of Educational Measurement, 1970
Descriptors: Analysis of Variance, Statistical Analysis, Statistical Significance
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Shaffer, Juliet Popper; Gillo, Martin W. – Educational and Psychological Measurement, 1974
Descriptors: Analysis of Variance, Research Methodology, Sampling, Statistical Significance
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Levy, Kenneth J. – Educational and Psychological Measurement, 1976
Marascuilo (1966) proposes a chi square analog of Scheffe's multiple comparisons procedure. With respect to pairwise comparisons among k independent correlation coefficients, a multiple range procedure will produce lower critical values than the corresponding chi square values, thereby increasing the power of the resulting tests. Basis of the…
Descriptors: Analysis of Variance, Correlation, Mathematical Models, Statistical Significance
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Parker, Randall M. – Educational and Psychological Measurement, 1971
Descriptors: Analysis of Variance, Computer Programs, Probability, Statistical Significance
Dodds, Jeffrey – 1998
Aptitude-treatment interaction (ATI) studies have been used with some frequency, yet many researchers do not understand fully what interaction effects are. Because the means for interactions involve fewer persons per mean, power to detect interaction effects is typically smallest for the highest-order interaction in a given design. This phenomenon…
Descriptors: Analysis of Variance, Aptitude Treatment Interaction, Heuristics, Statistical Significance
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Levy, Kenneth J. – Educational and Psychological Measurement, 1975
Proposes three different multiple range tests based upon the Newman-Keuls philosophy with respect to significance levels. The three tests utilize the Fmax statistic, Cochran's statistic and a normalizing log transformation of the sample variances respectively. (Author/RC)
Descriptors: Analysis of Variance, Comparative Analysis, Hypothesis Testing, Statistical Significance
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Levy, Kenneth J. – Psychometrika, 1974
Descriptors: Analysis of Variance, Hypothesis Testing, Models, Sampling
Powers, James E. – 1977
A Bayesian analysis for 2 to the k power factorial arrangements of treatments is presented in this paper. To perform the analysis, an experimenter must specify prior distributions on an orthogonal set of linear functions representing the main effects and interactions and on a function representing the grand mean. The solution is relatively…
Descriptors: Analysis of Variance, Bayesian Statistics, Hypothesis Testing, Statistical Significance
Lindley, Dennis V. – 1972
The standard statistical analysis of data classified in two ways (say into rows and columns) is through an analysis of variance that splits the total variation of the data into the main effect of rows, the main effect of columns, and the interaction between rows and columns. This paper presents an alternative Bayesian analysis of the same…
Descriptors: Analysis of Variance, Bayesian Statistics, Mathematical Models, Statistical Significance
Aiken, Lewis R. – 1979
Although the Statistical Package for the Social Sciences (SPSS) contains no subprogram that is complete in itself for analyzing repeated measures or mixed designs analysis of variance, subprogram ANOVA can be used to obtain almost all the required sums of squares for repeated measures designs, mixed designs having repeated measures on some…
Descriptors: Analysis of Variance, Computer Programs, Research Design, Statistical Significance
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Kohr, Richard L.; Games, Paul A. – Journal of Educational Statistics, 1977
The robustness of the statistic for complex contrasts in analysis of variance is compared to the statistic developed by Welch. The Welch statistic is recommended as the benchmark test for complex contrasts. (Author/JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Statistical Significance, Student Distribution
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Ramsey, Philip H.; And Others – Journal of Educational and Psychological Measurement, 1974
Descriptors: Analysis of Variance, Computer Programs, Hypothesis Testing, Statistical Significance
Peer reviewed Peer reviewed
Kennedy, John J. – Educational and Psychological Measurement, 1970
Descriptors: Analysis of Variance, Correlation, Hypothesis Testing, Probability
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