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Journal of Experimental… | 5 |
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Reports - Research | 4 |
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Hollingsworth, Holly – Journal of Experimental Education, 1980
A solution to some problems of maximized contrasts for analysis of variance situations when the cell sizes are unequal is offered. It is demonstrated that a contrast is maximized relative to the analysis used to compute the sum of squares between groups. Interpreting a maximum contrast is discussed. (Author/GK)
Descriptors: Analysis of Variance, Hypothesis Testing, Research Design, Research Problems

Jennings, Earl; Green, Janet L. – Journal of Experimental Education, 1984
The authors argue that a parameterization in terms of cell means is a useful conceptual device for resolving problems inherent in the nonorthogonal analysis of variance. They demonstrate their argument by considering two widely-used methods for testing main effects. (Author/BW)
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Research Design

Levy, Kenneth J. – Journal of Experimental Education, 1978
The purpose of this paper is to demonstrate how many more subjects are required to achieve equal power when testing certain hypotheses concerning proportions if the randomized response technique is employed for estimating a population proportion instead of the conventional technique. (Author)
Descriptors: Experimental Groups, Hypothesis Testing, Research Design, Response Style (Tests)

Olejnik, Stephen F. – Journal of Experimental Education, 1984
This paper discusses the sample size problem and four factors affecting its solution: significance level, statistical power, analysis procedure, and effect size. The interrelationship between these factors is discussed and demonstrated by calculating minimal sample size requirements for a variety of research conditions. (Author)
Descriptors: Effect Size, Error of Measurement, Hypothesis Testing, Research Design
A Monte Carlo Study of a Method for Detecting a Change in the Slope of a Single Subject's Responses.

Levy, Kenneth J. – Journal of Experimental Education, 1979
Hawkin's procedure for testing a sequence of observations for a shift in location could have applicability for assessing change within a single subject. Monte Carlo results suggest that Hawkins' procedure is robust with respect to moderate violations of its underlying assumptions of homogeneity of variance and normality. (Author/GDC)
Descriptors: Case Studies, Hypothesis Testing, Individual Development, Mathematical Models