Assessments in response formats with ordered categories are ubiquitous in the social and health sciences. Although the assumption that the ordering of the categories is working as intended is central to any interpretation that arises from such assessments, testing that this assumption is valid is not standard in psychometrics. This is surprising…

Further classification is made of Lindquist's dichotomy of interaction effects. The extension hopefully reduces errors or interpretation and provides a simple, accurate means of summarizing interactions obtained. (Author/RL)

This article addresses the characterization and circumvention of E. H. Simpson's paradox in designs involving two ordered variables and illustrates the recommended procedure using a two-sample application involving estimation of correlation and a single-subject application involving the estimation of lag(1) autocorrelation. (Author/SLD)

lllustrates a link between the multiple-rater kappa of J. Fleiss (1971) or other analogues and the generalizability (G) coefficient for a single facet design, and discusses the use and interpretation of G theory in the study of interrater agreement when data are measured on a nominal scale. (SLD)

An alternative analysis of the two-group single response variable design is proposed. It involves the classification of experimental units to populations represented by the two groups. Three real data sets are provided to illustrate the utility of the classification analysis. A table of sample sizes required for the analysis is presented.…