The results of this study show that when no significant differences exist in status attached to the languages of a bilingual, any differences in value systems as expressed in the two languages are slight. (CK)

Teaching today should be more student oriented if students are to learn to inquire, think, and learn autonomously. (CK)

It is suggested that the binomial theorem be used to compute the probability that a given number of Type I errors would occur when a group of null hypotheses are true and that this result be used as the level of significance for the test of an overall hypothesis. (Author/BW)

Presents an activity which encourages hypothesis testing and introduces the study of prehistorical and historical societies. Students formulate a hypothesis about an artifact; then the teacher gradually introduces more information. Students refine their hypotheses and test them against what the artifact was used for. (KC)

Reluctance to use group mean as the unit of analysis is partly due to the belief that fewer observations per treatment greatly reduces the probability of detecting a treatment effect. This is discussed; equations are presented to facilitate power estimates when the group mean is the unit of analysis. (Author/BW)

The squared multiple correlation of a variable with the remaining variables in a variable set is shown to be a function of the communalities and the squared canonical correlations between the observed variables and common factors. (Author/JKS)

The problem addressed is of assessing the loss of power which results from keeping the probability that at least one Type I error will occur in a family of N statistical tests at a tolerably low level. (Author/BW)

Fisher's exact probability test is severely conservative when interpreted with reference to conventional alpha levels due to the discontinuity of the sampling distribution for 2 x 2 tables. An adjustment of the cell frequencies is proposed that results in a correction for continuity with appropriate alpha protection and increased power. (Author)

The goodness-of-fit of correlational pattern hypotheses has traditionally been assessed either with a likelihood ratio statistic or with a quadratic form statistic. Several alternative statistics, based on the use of the Fisher r-to-z transform, are proposed and assessed in a Monte Carlo experiment. (Author/JKS)