Uncorrectable skew and heteroscedasticity are among the "lemons" of psychological data, yet many important variables naturally exhibit these properties. For scales with a lower and upper bound, a suitable candidate for models is the beta distribution, which is very flexible and models skew quite well. The authors present…

The usefulness of L. Guttman's partial order scalogram analysis is investigated in this study of the structure of a set of items that measure attitudes toward legal abortion. These items, drawn from the National Opinion Research Center's "General Social Survey," have been the focus of considerable applied research investigating…

Using an infinite item test framework, it is argued that the usual assumption of local independence should be replaced by a weaker assumption--essential independence. The usual assumption of unidimensionality is replaced by a weaker and more appropriate statistically testable assumption of essential unidimensionality. (TJH)

This study introduces three growth modeling techniques: latent growth modeling (LGM), hierarchical linear modeling (HLM), and longitudinal profile analysis via multidimensional scaling (LPAMS). It compares the multilevel growth parameter estimates and potential predictor effects obtained using LGM, HLM, and LPAMS. The purpose of this multilevel…

Locus of Control (LOC) deals with an individual's personal attribution of successful or failure. Those with internal LOC believe that events in their lives are under their personal control while individuals with external LOC feel that their lives are dominated by the environment. The theory has been applied to achievement and health-related issues…

For this study, the authors developed a multi-item, multi-dimensional scale for peer evaluation encompassing five key dimensions: dependability, task and maintenance orientation, domineering behavior, free-riding behavior, and individual competence. They also tested the relationship between these dimensions and two outcome variables: overall…