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Journal of Experimental… | 7 |
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Gaa, John P. | 1 |
Goldberg, Gale | 1 |
Green, Janet L. | 1 |
Hendrix, Leland J. | 1 |
Hollingsworth, Holly | 1 |
Jennings, Earl | 1 |
Marascuilo, Leonard A. | 1 |
Mayerberg, Cathleen Kubiniec | 1 |
Nelson, Larry R. | 1 |
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Journal Articles | 5 |
Reports - Research | 4 |
Opinion Papers | 2 |
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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

Gaa, John P. – Journal of Experimental Education, 1973
Study examined the effect of individual goal-setting conferences on academic achievement and attitudes in an ongoing educational setting. (Author)
Descriptors: Academic Achievement, Analysis of Variance, Educational Attitudes, Methods

Goldberg, Gale; Mayerberg, Cathleen Kubiniec – Journal of Experimental Education, 1973
Purpose of study was to determine how students evaluated the affective behavior of their teacher when that behavior reflected positive, neutral, and negative affect, respectively. (Author)
Descriptors: Analysis of Variance, Elementary School Students, Emotional Response, Research Design

Nelson, Larry R. – Journal of Experimental Education, 1979
The authors state that multiple regression is a powerful method of statistical analysis, provides a strength of relationship index, and should replace analysis of variance (ANOVA) in educational research. They also discuss the coding of categorical variables and available computer programs for multiple regression. (Author/MH)
Descriptors: Analysis of Variance, Classification, Comparative Analysis, Computer Programs

Hendrix, Leland J.; And Others – Journal of Experimental Education, 1978
Five methods for analyzing data from pretest-post-test research designs are discussed. Analysis of gain scores, with pretests as a covariate, is indicated as a superior method when the assumptions underlying covariance analysis are met. (Author/GDC)
Descriptors: Achievement Gains, Analysis of Covariance, Analysis of Variance, Auditory Discrimination

Marascuilo, Leonard A. – Journal of Experimental Education, 1979
The utility of the biomedical model of adjusted statistics is demonstrated. The model is recommended for use by educational researchers to randomize subjects for a more accurate estimate of school programs' success or failure when compared across classrooms or other units. (Author/MH)
Descriptors: Academic Achievement, Analysis of Variance, Comparative Analysis, Criterion Referenced Tests