A Monte Carlo simulation was conducted to study the Type I error rate and power of the 1994 approximation developed by R. A. Alexander and D. M. Govern as an alternative to the analysis of variance "F" test. Conditions under which this test is the best approach are discussed. (SLD)

Type I error rates and statistical power for the univariate F test and the James second-order test were estimated for the two-factor fixed-effects completely randomized design. Results reveal that the F test Type I error rate can exceed the nominal significance level when cell variances differ. (SLD)

A hypothesized data set is used to illustrate that canonical correlation analysis is a general linear model, subsuming other parametric procedures as special cases. Specific techniques included in analyses are t tests, Pearson correlation, multiple regression, analysis of variance, multivariate analysis of variance, and discriminant analysis. (SLD)

Illustrates how expected mean squares needed in the analysis of variance can be arrived at via the use of only one rule: the expected mean square E(MS) for any source of variation for any ANOVA model is specified effect plus the specified effect in combination with any random effect. (Editor/RK)

In addition to reviewing available procedures for interpreting interaction effects in ANOVA designs, this research develops procedures for estimating the magnitude of simple main or interaction effect variance components relative to the total variance accounted for by simple effect profiles. (Editor/RK)

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)

Monte Carlo techniques were employed to compare the familiar F-test with Welch's V-test procedure for testing hypotheses concerning a priori contrasts among K treatments. The two procedures were compared under homogeneous and heterogeneous variance conditions. (Author)

Study was concerned only with the impact of tutoring on the tutor's learning and attempted to determine whether tutors cognitively restructure the material in anticipation of teaching it to someone else. (Author/RK)

Study examined the effect of individual goal-setting conferences on academic achievement and attitudes in an ongoing educational setting. (Author)

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)

Purpose of study was to investigate the leadership behavior of residence life staff members, the management styles of the organization, and their relationship to each other. (Author)

EPPS scores from 167 high school seniors (Study 1, S1), 137 introductory psychology students (S2), and students from an innovative college program (S3) were compared using analysis of variance, image analysis, and factor pattern comparison. (Editor)

The present authors argued that the covariance analysis is completely valid even if there is a true main effect for pretesting and a second point of the paper involved a recommendation for data analysis if the interaction from ANOVA was significant. (Editor/RK)

It is the purpose of this paper to provide social scientists with some insight in dealing with Type 11 error, that is, the probability of failing to reject a false null hypothesis, and therefore, optimum sample size and number of levels, in the random-effects analysis of variance. (Author/RK)

This study was designed to investigate the effects of a workshop in creative thinking and problem-solving for department chairmen in public secondary schools. (Author)