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)

A review of recent volumes of the "Research Quarterly" reveals that few of the studies employing multiple dependent measures have attended to the appropriate analysis. (JD)

This paper surveys available techniques and introduces an explicit statement of a new statistic to test for equality of correlated proportions in a polychotomous response design. A set of guidelines for the potential user of the techniques is provided. (Author/CTM)

The present study suggests that post-KR delay interval time or activity in the interval has little to do with learning on a self-paced positioning task, not ruling out that on ballistic tasks or more complex nonballistic tasks that a learner could make use of additional time or strategy. (MB)

Challenge studies can be used to see whether there is a causal relationship between an agent of interest and a response. An approach based on union-intersection testing is presented that allows researchers to examine observations on a single subject and test the hypothesis of interest. An application using psychological data is presented. (SLD)

Introduced the hypothesis-assessment model, claiming that the strength of inductive argument is determined by the same factors that affect hypothesis plausibility in the everyday social milieu. Describes experiments conducted to assess argument strength. Discusses strengths and limitations of the proposed hypothesis-assessment model. (MOK)

Used cross-language blocking experiments to test the hypothesis that children learning to read inconsistent orthographies would show considerable flexibility in making use of spelling-sound correspondences at different unit sizes, whereas children learning to read consistent orthographies should mainly employ small-size grapheme-phoneme…

Means of identifying sources of rejection of hypotheses regarding linear multivariate statistical models are discussed. Problems with the use of a global test using Roy's largest root criterion and means of solving them are presented, along with a practical application of the techniques. (TJH)

Examined time-sampling reports obtained from 9-15 year olds concerning their emotional states. Findings suggest that the onset of adolescence is not associated with appreciable differences in the variability of emotional states. (RH)

A model is developed to account for variations in test strategies (hypothesis testing) beginning with the premise that cognitive processes are adapted to reducing errors rather than detecting "truth." The Primary Error Detection and Minimization (PEDMIN) mode of lay hypothesis testing is described, and its five properties are explored.…

The sampling interpretation of confidence intervals and hypothesis tests is discussed in the context of conditional maximum likelihood estimation. Three different interpretations are discussed, and it is shown that confidence intervals constructed from the asymptotic distribution under the third sampling scheme discussed are valid for the first…

Presents simple and direct demonstrations showing why basic measurement principles require that biases in data created by measurement error be removed. Refutes common objections to the correction for these biases. Also describes substantive psychological processes responsible for some types of measurement error. (SLD)