A special case of Bloxom's version of Tucker's three mode factor analysis model is developed statistically. A goodness of fit test and an empirical example are presented. (Author/JKS)

A general statistical model for simultaneous analysis of data from several groups is described. The model is primarily designed to be used for the analysis of covariance. The model can handle any number of covariates and criterion variables, and any number of treatment groups. (Author/JKS)

The normal scores test for scale (variance) is presented as an alternative for evaluating the equality of dispersion for two independent populations. Test development is indicated as well as examples illustrating large and small sample situations. Reference is made to comparisons with the F, Mood, and Siegel-Tukey tests. (Author/JKS)

An analysis of variance model is recommended for data which display a peaked trend. These data are particularly common in psychological studies of stimulus generalization. A variety of hypotheses are suggested, and the testing of these hypotheses is illustrated. (Author/JKS)

The effects of variance heterogeneity on the empirical probability of a Type I error for the analysis of variance (ANOVA) F-test are examined. The rate of Type I error varies as a function of the degree of variance heterogeneity, and the ANOVA F-test is not always robust to variance heterogeneity when sample sizes are equal. (Author/JAC)

Comments on some methodological problems involved in determining the relationship between initial output order and subsequent recall, particularly in the light of the results reported by Morris (AA 527 380). (Author/RK)

Answers the criticism of John Gardiner and Peter Herriot (AA 527 381) and while agreeing with their comments on the misleading influence of Vincentized data, author rejects their specific criticisms. (RK)

Using 1960 and 1970 census data, this paper examines several hypotheses on the trends and variations in the efficiency of interregional migration streams of black males. (JC)

Variables related to the intellectual functioning of 597 visually impaired persons were investigated. (Editor)

This paper illustrates an application of Efron's bootstrap to the repeated measures design. While this approach does not require parametric assumptions, it does utilize distributional information in the sample. By appropriately resampling from study data, the bootstrap may determine accurate sampling distributions for estimators, effects, or…

This package contains four FORTRAN 77 programs for Markov Model based learning experiments. One program estimates the likelihood of a one-stage learning model, another delivers estimates for a two-stage learning model. The third and fourth were designed for hypothesis testing the parameter differences between and within experimental conditions,…

Presents Price's law, which states that half of the literature on a subject will be contributed by the square root of total number of authors publishing in that area, and assesses it against empirical evidence and simulated productivity distributions. The discussion covers this law's relation to Lotka's law and its empirical validity. (Author/CLB)

A FORTRAN 77 program is described that computes both the different response success-error patterns and their summary statistics for learning and forgetting in fixed trial experiments using a two-stage Markov model. (Author/GDC)

A complete package for Markov model-based fixed trial learning experiments contains four FORTRAN 77 programs. Two of the programs deliver likelihood and parameter estimates of one- and two-stage learning models, and two may be used for hypothesis testing of parameter differences between and within experimental conditions. (Author/GDC)

This study was concerned with the effects of reliability of observations, sample size, magnitudes of treatment effects, and the shape of the sampled population on the relative power of the paired samples rank transform statistic and Wilcoxon's signed ranks statistic. (Author/LMO)