The analysis of variance (ANOVA) is a frequently used statistical procedure by which the equality of more than two population means can be tested without inflating the Type I error rate (D. Hinkle, W. Wiersma, and S. Jurs, 1998). Fixed-, random-, and mixed-effects ANOVA models are each capable of yielding interesting and useful results when…

This study is an attempt to evolve a systematic method for recording dramatic improvisational behavior across salient dimensions. The method is used to ascertain the developmental character of different age levels of children engaged in improvisations. (Authors)

Two statistics for use in the Shine-Bower single-subject analysis of variance designs are compared. Advantages and precautions concerning an alternate statistic to the mean square successive difference test for testing the slow change assumptions of the Shine-Bower error term are presented. (JKS)

Analysis of variance (ANOVA) designs typically use what is referred to as crossed design to test for differences between means of groups. In a balanced, or crossed, one-way ANOVA, each student (unit of analysis) would have a score in each of the experimental conditions. In a two-way design, the analysis is considered crossed if each level from one…

The basic ideas underlying the Shine-Bower ANOVA for single-subject designs are combined with those of certain repeated measures designs to produce a highly flexible design possessing the advantages of the single-subject and multi- subject approaches to research. Schematic calculation procedures are presented for the two-way case. (Author)

Methods for the calculation of eta coefficient, or correlation ratio, squared have recently been presented for examining the strength of relationship in univariate analysis of variance. This paper extends them to the multivariate case in which the effects of independent variables may be examined in relation to two or more dependent variables, and…

While the potential use of correlation methods has spread to wide contexts and these uses have permeated behavioral research, their scope remains the orthodox applications: to test independence, and to measure association. It is well worth noticing that problems having no obstensible connection to dependence, independence, or association have been…

The present study was addressed to the group AOV situation. Onte Carlo methods were employed to contrast several procedures with respect to a. ) control over Type 1 errors and b. ) power. (Editor)

Introduces a statistical concept, analysis of variance, which may be used as an aid in determining whether or not fairness and equity have been achieved vis-a-vis an organization's systematic, integrated pay plan. (Author/IRT)

Reasons for transforming dependent variable measures for use in analysis of variance is discussed, including nonnormality, heteroscedasticity and scale-induced interactions. It is pointed out that nonlinear transformations change the interpretation of interactions, and a method for reducing heteroscedasticity is described. (Author/RM)

The equivalence of one-way multivariate analysis of variance and canonical correlation is well known. The usefulness of canonical correlation analysis is performing factorial multivariate analysis of variance is demonstrated. (Author)