Item response theory (IRT) models are often compared with respect to predictive performance to determine the dimensionality of rating scale data. However, such model comparisons could be biased toward nested-dimensionality IRT models (e.g., the bifactor model) when comparing those models with non-nested-dimensionality IRT models (e.g., a…

Major objective in this study was the structuring of a predictive model that would assess combinations of variables that most effectively and parsimoniously measure and forecast college success. (Author)

Two important parameters of the general utility function--the standard deviation of job performance and predictor performance--were examined in terms of their sensitivity to departures from underlying mathematical assumptions. Integral calculus was used to assess the effects of statistical violations of the assumptions underlying these parameters.…

Study examined models for improving prediction of single and multiple criteria. (Author)

The present study compared six methods, two of which utilize the content structure of items, to estimate total-test scores using 450 students and 60 items of the 110-item Stanford Mental Arithmetic Test. Three methods yielded fairly good estimates of the total-test score. (Author/RL)

The inter-battery factor analysis model for predictive systems appears to offer a useful formalization of these systems and provides some guides for the development of the system. (Author)

In a university salary prediction study of 75 faculty members, years of service acted as a negative suppressor variable. The suppressor effect was interpreted as salary compression, or the failure of the organization to recognize seniority with adequate compensation increases while meeting market values for new hires. (SLD)

A nonadditive linear model consisting of both Graduate Management Admission Test scores and undergraduate grades adequately portrayed the decision-making process of a Master of Business Administration program admissions officer. The results are discussed in light of the recent criticisms of the use of standardized tests as admissions criteria.…

Different approaches to defining suppression in multiple regression/correlation are compared, and their differences are illustrated. A test for determining the significance of a suppressor effect, which is based on the definition of suppression of W. F. Velicer, is extended to the general multiple predictor case and analysis of variance. (SLD)