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)

Many researchers assume that unequal cell frequencies in analysis of variance (ANOVA) designs result from poor planning. However, there are several valid reasons why one might have to analyze an unequal-n data matrix. The present study reviewed four categories of methods for treating unequal-n matrices by ANOVA: (a) unaltered data (least-squares…

The results of an investigation into some special cases of the general "orthomax" formulation are presented. In particular, the effects of manipulating a parameter in this formulation on various aspects of factor solutions are identified through the use of four sets of data, varying considerably in size, and reliability and factorial complexity of…

The purpose of this study was to compare the perceptions of teacher competence within and among three groups of educators as measured by the interview scales of the Instrument for the Observation of Teaching Activities (IOTA). (Auhor)

Heart rate indexes of reaction time (RT) were investigated in male college students. (Author)

Although there is a healthy trend toward employment of multivariate statistical methods in the analysis of data from experiments in psychology and education which involve multiple dependent variables, there remains a need to demonstrate the wide variety of data analytic techniques available for post hoc analysis of statistically significant…

In order to examine the possible effects of violation of assumptions using parametric procedures, this study is an exploratory investigation into the use of parametric versus nonparametric procedures using a multiple case study design. The case study investigation guidelines outlined by Yin served as the methodology. The following univariate…

The various costs of Type I and Type II errors of inference from data are discussed. Six methods for minimizing each error type are presented, which may be employed even after data collection for Type I and which minimizes Type II errors by a study design and analytical means combination. (Author/CM)

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)

Describes a study of high school students that investigated the use of microcomputers to teach principles relating to the design and interpretation of graphs. Results related to student achievement, higher order thinking skills, and behavioral protocols are discussed. A sample assignment sheet and test questions are appended. (66 references) (LRW)

The use of analysis of covariance in simple repeated measures designs is considered. Conditions necessary for the analysis of covariance adjusted main effects and interactions to be meaningful are presented. (Author/JKS)

The applicability of the Analysis of Variance, ANOVA, procedures to the analysis of dichotomous repeated measure data is described. The design models for which data were simulated in this investigation were chosen to represent simple cases of two experimental situations: situation one, in which subjects' responses to a single randomly selected set…

Even the application of such mainstays of the institutional researcher's statistical tool kit as the t test and ANOVA is not always as straightforward as it seems. The researcher must first check to see that the underlying methodological and statistical assumptions are being met. (Author)