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Peer reviewedRoth, Gary L.; Daniel, Wayne W. – Educational and Psychological Measurement, 1978
A table of critical values is presented for use with Chacko's ordered alternatives test for the analysis of variance. (Author/JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Research Design, Statistical Data
Peer reviewedShine, Lester C., II – Educational and Psychological Measurement, 1978
Procedures for carrying out a Shine Combined (repeated measures) Analysis of Variance (ANOVA) when there are unequal group sizes are described. (Author/JKS)
Descriptors: Analysis of Variance, Case Studies, Hypothesis Testing, Research Design
Peer reviewedGaito, John – Educational and Psychological Measurement, 1978
The conduct of multiple post hoc comparison procedures following an analysis of variance is discussed. Various procedures are contrasted in terms of appropriateness, power, and other features. Octhogonal and nonorthogonal comparisons are discussed. (JKS)
Descriptors: Analysis of Variance, Comparative Analysis, Hypothesis Testing, Research Design
Peer reviewedSchmeidler, James – Educational and Psychological Measurement, 1978
The basic assumption of Cooper's nonparametric test for trend (EJ 125 069) is questioned. It is contended that the proper assumption alters the distribution of the statistic and reduces its usefulness. (JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Nonparametric Statistics, Research Design
Peer reviewedRotton, James; Schonemann, Peter H. – Educational and Psychological Measurement, 1978
In numerous applications of the analysis of variance, it is necessary to compute the power of F tests having numerically high alpha (significance) levels. This article tabulates the power of F tests for a variety of degrees of freedom. (Author/JKS)
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Power (Statistics)
Peer reviewedCantor, Joan H.; Spiker, Charles C. – Journal of Experimental Child Psychology, 1978
A specially designed discrimination learning task was used to investigate whether the performance of kindergarten and first grade children could be improved through explicit training with a simple hypothesis-testing strategy. (Author/MP)
Descriptors: Discrimination Learning, Elementary School Students, Hypothesis Testing, Problem Solving
Peer reviewedO'Brien, Ralph G. – Psychometrika, 1978
Several ways of using traditional analysis of variance to test the homogeneity of variance in factorial designs with equal or unequal cell sizes are compared using theoretical and Monte Carlo results. (Author/JKS)
Descriptors: Analysis of Variance, Comparative Analysis, Hypothesis Testing, Research Design
Peer reviewedBentler, P. M.; Lee, Sik-Yum – Psychometrika, 1978
A special case of Bloxom's version of Tucker's three mode factor analysis model is developed statistically. A goodness of fit test and an empirical example are presented. (Author/JKS)
Descriptors: Factor Analysis, Goodness of Fit, Hypothesis Testing, Mathematical Models
Peer reviewedSorbom, Dag – Psychometrika, 1978
A general statistical model for simultaneous analysis of data from several groups is described. The model is primarily designed to be used for the analysis of covariance. The model can handle any number of covariates and criterion variables, and any number of treatment groups. (Author/JKS)
Descriptors: Analysis of Covariance, Hypothesis Testing, Mathematical Models, Research Design
Peer reviewedPenfield, Douglas A. – Educational and Psychological Measurement, 1978
The normal scores test for scale (variance) is presented as an alternative for evaluating the equality of dispersion for two independent populations. Test development is indicated as well as examples illustrating large and small sample situations. Reference is made to comparisons with the F, Mood, and Siegel-Tukey tests. (Author/JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Models, Nonparametric Statistics
Peer reviewedHalperin, Silas – Educational and Psychological Measurement, 1978
An analysis of variance model is recommended for data which display a peaked trend. These data are particularly common in psychological studies of stimulus generalization. A variety of hypotheses are suggested, and the testing of these hypotheses is illustrated. (Author/JKS)
Descriptors: Analysis of Variance, Hypothesis Testing, Research Design, Stimulus Generalization
Peer reviewedRogan, Joanne C.; Keselman, H. J. – American Educational Research Journal, 1977
The effects of variance heterogeneity on the empirical probability of a Type I error for the analysis of variance (ANOVA) F-test are examined. The rate of Type I error varies as a function of the degree of variance heterogeneity, and the ANOVA F-test is not always robust to variance heterogeneity when sample sizes are equal. (Author/JAC)
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Models, Statistical Analysis
Peer reviewedGardiner, John M.; Herriot, Peter – British Journal of Psychology, 1977
Comments on some methodological problems involved in determining the relationship between initial output order and subsequent recall, particularly in the light of the results reported by Morris (AA 527 380). (Author/RK)
Descriptors: Critical Thinking, Hypothesis Testing, Memory, Primacy Effect
Peer reviewedMorris, Peter E. – British Journal of Psychology, 1977
Answers the criticism of John Gardiner and Peter Herriot (AA 527 381) and while agreeing with their comments on the misleading influence of Vincentized data, author rejects their specific criticisms. (RK)
Descriptors: Critical Thinking, Hypothesis Testing, Memory, Primacy Effect
Peer reviewedShin, Eui Hang – Sociology and Social Research, 1978
Using 1960 and 1970 census data, this paper examines several hypotheses on the trends and variations in the efficiency of interregional migration streams of black males. (JC)
Descriptors: Academic Achievement, Age, Blacks, Efficiency


