In a Monte Carlo analysis of single-subject data, Type I and Type II error rates were compared for various statistical tests of the significance of treatment effects. Data for 5,000 subjects in each of 6 treatment effect size groups were computer simulated, and 2 types of treatment effects were simulated in the dependent variable during…

Copies of this paper and a source listing which includes input and output data for sample problems can be obtained from the author at Temple University, Philadelphia, Penna. (Author/MB)

This nonparametric analysis of variance program includes the Kruskal-Wallis, Friedman, and Cochran methods. (DG)

A nonparametric test of dispersion with paired replicates data is described which involves jackknifing logarithmic transformations of the ratio of variance estimates for the pre- and posttreatment populations. Results from a simulation show that the test performs well under the null hypothesis and has good power properties. (Author/JKS)

The Shine-Bower error term is used to form approximate F ratios for testing various effects in the Shine-Bower single-subject ANOVA and the Shine Combined ANOVA. Results demonstrate the utility of these F ratios with respect to the probability of a type I error. (Author/JKS)

A FORTRAN program is provided for calculating the power of statistical tests based on the chi-square distribution. The program produces approximations to the exact probabilities obtained from the noncentral chi-square distribution. The calculation of the noncentrality parameter is discussed for tests of independence and goodness of fit.…

The G index is a measure of similarity between pairs of dichotomized items. The G index is generalized here to the case where items are trichotomized. (JKS)

This paper describes an exact small sample test, and provides a table of critical values for an approximate large sample test, to determine if a sample of Likert-Type ratings indicates significant agreement or disagreement in a population of such ratings. (Author)

H. H. Chang and W. F. Stout (1993) presented a derivation of the asymptotic posterior normality of the latent trait given examinee responses under nonrestrictive nonparametric assumptions for dichotomous item response (IRT) theory models. This paper presents an extension of their results to polytomous IRT models and defines a global information…

The nonparametric Mokken model of test data was compared with parametric models using simulated data through latent class analysis. It is demonstrated that latent class analysis provides a consistent comparison of item response models. (SLD)

Discusses extending research into differential item functioning (DIF) to performance assessment and considers some of the best options available at this time. The most effective strategy for assessing DIF is to use a combination of several methods, preferably one from each of the observed score nonparametric, latent score nonparametric, and…

Suggests problems in calculating standard scores in Goal Attainment Scaling; first, because it is not dealing with interval data; and second, because of difficulties in estimating degrees of relationship among individuals' scores. Proposes nonparametric methods of handling data. (SK)

Baseline Addiction Severity Index (5th ed.; ASI-5) data of 2,142 substance abuse patients were analyzed with two nonparametric item response theory (NIRT) methods: Mokken scaling and conditional covariance techniques. Nine reliable and dimensionally homogeneous Recent Problem indexes emerged in the ASI-5's seven areas, including two each in the…

Nonparametric item response models have been developed as alternatives to the relatively inflexible parametric item response models. An open question is whether it is possible and practical to administer computerized adaptive testing with nonparametric models. This paper explores the possibility of computerized adaptive testing when using…