Use of the coefficient of concordance is explained to be a simple technique for estimating reliability in small scale situation and is advocated as a valuable method for physical educators. (GW)

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…

Three methods of estimating point-biserial correlation coefficient standard errors were compared: (1) assuming normality; (2) not assuming normality; and (3) bootstrapping. Although errors estimated assuming normality were biased, such estimates were less variable and easier to compute, suggesting that this might be the method of choice in some…

On the occasion of Psychometrika's fiftieth anniversary, the past twenty-five years' developments in mental test theory are reviewed. Psychometrika articles treating topics in test theory are listed in a bibliography. (Author/LMO)

A review of early and modern work concerned with response-contingent testing and a discussion of its applications, limitations, and future prospects is provided. (KM)

Study discusses the four possible ways to test null hypotheses: multivariate tests, usual univariate F test, Box's univariate approximate F test, Geisser and Greenhouse univariate conservative F test. (Author/CB)

See EJ 041 277 for original article. (DG)

This article shows that student grades based on the difference on scores from one test to another are statistically unreliable and unfair to the better students. (MM)

Twelve multiple comparison tests, both simultaneous and sequential, are described, analyzed, and evaluated. Overall recommendations are presented in a flow-diagram. (DG)

While Spearman's rho and Kendall's tau are equally powerful rank-order correlation coefficients under conditions of normality, they have different metrics. Applied to the same data, tau is smaller in absolute value, often no more than two-thirds of the size of rho. This difference in correlational metric appears to need emphasis. (Author/CM)

Analyses of artificial data involving repeated, related binary measures to different samples suggest that Tideman's generalized chi-square statistic and conventional repeated-measures analysis of variance do not produce conflicting outcomes. Provided the appropriate assumptions are met, analysis of variance may provide a more versatile approach.…