Used multidimensional research design to assess the salient dimensions that supervisors rely on in their perceptions of supervisor roles and to test models. Three dimensions emerged based on supervisor roles: supervision environment, supervision function, and characteristics of supervisor roles. The results partially supported a two-dimensional…

Chronic pain outpatients (N=600) randomly split and their symptom Checklist-90 responses were analyzed via a three-step factor analysis. A 10-factor model was judged most meaningful and statistically appropriate in the first-order analysis. The second-order analyses produced three factors. All factors replicated across the data halves, providing…

Reviews the factor analytic studies done on the 1981 Wechsler Adult Intelligence Scale-Revised (WAIS-R) standardization sample and various patient samples. Concludes that a three-factor solution appears to provide a source of hypotheses about an individual's or a select sample's unique abilities and weaknesses worthy of further exploration.…

In this paper three changes and one new development for the method of exploratory factor analysis (a second generation Little Jiffy) developed by Kaiser are described. Following this short description a step-by-step computer algorithm of the revised method, dubbed Little Jiffy, Mark IV is presented. (MP)

This study largely replicates the findings of a previous study reported by the authors. Further research involving the physical dimension as a possible facet of general self-concept is suggested. (Author/BW)

In an argument for orthogonal variables to explain intelligence, higher-order constructs, including "g" as a single thing in intelligence, are suggested to inevitably result from complex systems with interrelated parts. Biological reductionism and other arguments for the higher-order constructs as explanations of intellectual functioning…

The Schmid-Leiman (J. Schmid and J. M. Leiman, 1957) decomposition of a hierarchical factor model converts the model to a constrained case of a bifactor model with orthogonal common factors that is equivalent to the hierarchical model. This article discusses the equivalence of the hierarchical and bifactor models. (Author/SLD)

Demonstrates that traditional exploratory factor analytic methods, when applied to correlation matrices, cannot be used to estimate unattenuated factor loadings. Presents a mathematical basis for the accurate estimation of such values when the disattenuated correlation matrix or the covariance matrix is used as input. Explains how the equations…

Demonstrated that the extra-factor phenomenon (the two-dimensional solution produced when linear factor analysis is applied to a set of unfoldable items) arises because the metric unidimensional unfolding model is equivalent to the unidimensional quadratic factor model and the unidimensional quadratic factor model is not distinguishable from the…

Administered the Generalized Expectancy for Success-Revised (GESS-R) scale (B. Fibel and W. Hale, 1978) to 547 full-time employees in the United States. Exploratory factor analysis found four distinct factors, and scores on these four subscales were minimally related to the demographics of the subjects and had adequate internal consistency.…

Confirmatory factor analysis (CFA) is a statistical procedure frequently used to test the fit of data to measurement models. Published CFA studies typically report factor pattern coefficients. Few reports, however, also present factor structure coefficients, which can be essential for the accurate interpretation of CFA results. The interpretation…

Bayesian factor analysis (BFA) assumes the normal distribution of the current sample conditional on the parameters. Practical data in social and behavioral sciences typically have significant skewness and kurtosis. If the normality assumption is not attainable, the posterior analysis will be inaccurate, although the BFA depends less on the current…

The author reviewed the use and interpretation of factor analysis in articles published in The Journal of Educational Research articles from 1992 to 2002. He found all major forms of factor analysis among the 25 articles that he reviewed. Exploratory factor analysis was the most common application that he found. He noted only 3 applications of…