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Ferron, John; Jones, Peggy K. – Journal of Experimental Education, 2006
The authors present a method that ensures control over the Type I error rate for those who visually analyze the data from response-guided multiple-baseline designs. The method can be seen as a modification of visual analysis methods to incorporate a mechanism to control Type I errors or as a modification of randomization test methods to allow…
Descriptors: Multivariate Analysis, Data Analysis, Inferences, Monte Carlo Methods

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

Williams, John D. – Journal of Experimental Education, 1979
Hollingsworth recently showed a posttest contrast for analysis of variance situations that, for equal sample sizes, had several favorable qualities. However, for unequal sample sizes, the contrast fails to achieve status as a maximized contrast; thus, separate testing of the contrast is required. (Author/GSK)
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Statistical Analysis

Katz, Barry M.; McSweeney, Maryellen – Journal of Experimental Education, 1984
This paper developed and illustrated a technique to analyze categorical data when subjects can appear in any number of categories for multigroup designs. Post hoc procedures to be used in conjunction with the presented statistical test are also developed. The technique is a large sample technique whose small sample properties are as yet unknown.…
Descriptors: Data Analysis, Hypothesis Testing, Mathematical Models, Research Methodology

Blumberg, Carol Joyce; Porter, Andrew C. – Journal of Experimental Education, 1983
The general class of continuous growth models are described and examples representative of growth models suggested for various types of academic and/or physical growth are given. The fan spread hypothesis is discussed in relationship to natural growth models, as well as differential linear growth. (PN)
Descriptors: Achievement Gains, Data Analysis, Evaluation Methods, Hypothesis Testing

Penfield, Douglas A.; Sachdeva, Darshan – Journal of Experimental Education, 1976
The absolute normal scores test is described as a test for the symmetry of a distribution of scores about a location parameter. The test is compared to the sign test and the Wilcoxon test as an alternative to the "t"-test. (Editor/RK)
Descriptors: Data Analysis, Grading, Hypothesis Testing, Tables (Data)

Katz, Barry M.; McSweeney, Maryellen – Journal of Experimental Education, 1979
Errors of misclassification and their effects on categorical data analysis are discussed. The chi-square test for equality of two proportions is examined in the context of errorful categorical data. The effects of such errors are illustrated. A correction procedure is developed and discussed. (Author/MH)
Descriptors: Classification, Data Analysis, Data Collection, Error Patterns

Gifford, Robert – Journal of Experimental Education, 1976
Investigates student behavior in a situation where no alternative was available; they had to either accept or alter their surroundings. It was hypothesized that in the institutional settings the students would not substantially change an inhospitable arrangement, despite their membership in a relatively high environmental awareness group.…
Descriptors: Classroom Design, Data Analysis, Diagrams, Educational Research

Sovik, Nils – Journal of Experimental Education, 1976
A lab study was conducted to test the effect of different kinds of instruction in copying tasks, which are considered to be a fundamental function in the area of psycho-motor skills. The study was organized as a two-way design with 24 eight-year-old Ss. (Editor)
Descriptors: Data Analysis, Diagrams, Educational Research, Hypothesis Testing