In Bayesian structural equation modeling (BSEM), prior settings may affect model fit, parameter estimation, and model comparison. This simulation study was to investigate how the priors impact evaluation of relative fit across competing models. The design factors for data generation included sample sizes, factor structures, data distributions, and…

This paper presents heuristic explanations of factor scores, structure coefficients, and communality coefficients. Common misconceptions regarding these topics are clarified. In addition, (a) the regression (b) Bartlett, (c) Anderson-Rubin, and (d) Thompson methods for calculating factor scores are reviewed. Syntax necessary to execute all four…

School attachment has received considerable attention in K-12 literature but it is relatively unexplored at the post-secondary level. The university attachment scale (UAS) is a new instrument designed to bridge this gap and previous research suggests transfer students score lower on group attachment than non-transfer students. However, these…

This study compared the effectiveness of 10 methods of determining the number of factors to retain in exploratory common factor analysis. The 10 methods included the Kaiser rule and a modified Kaiser criterion, 3 variations of parallel analysis, 4 regression-based variations of the scree procedure, and the minimum average partial procedure. The…

The first purpose of this study was to analyze the results of the confirmatory factor analyses, via EQS, with regard to the latent structures of the Learning and Study Strategies Inventory (LASSI) (C. Weinstein, D. Palmer, and A. Schulte, 1987) as proposed by S. Olejnik and S. Nist (1992), A. Olivarez and M. Tallent-Runnels (1994), B. Olaussen and…

Various analytic choices in principal components and common factor analysis are discussed. Differences and similarities among these extraction methods are explained, and aids in interpreting the origin of detected effects are explored. Specifically, the nature and use of structure and pattern coefficients are examined. Communalities and methods…

An alternative strategy for computing factor scores was introduced and compared to a popular scoring procedure. The new strategy, which involves unit-weighted composites of standardized items with salient factor score coefficients, is shown superior to the common method. Implications of findings are discussed. (SLD)

The classification of intelligence has been a prime interest to many for over three-quarters of a century. The Wechsler scales of intelligence and the development of factor analysis have both played major roles in the shaping of psychometric thought. An examination of this joint history by means of a review of the factor analytic studies of the…

Readiness skills of 1,261 kindergarten students were assessed with the use of the Kindergarten Instructional Design System (KIDS). The profile provides assessment in five areas: Motor, Visual, Auditory, Language, and Conceptual. Two statistical techniques were utilized to examine the underlying structure of the measure: factor analysis and…

Procedures for analyzing common item effects on interscale structure were reviewed and a study using smallest space analysis of the California Psychological Inventory (CPI) reported. Solutions of three matrices--intercorrelation matrix of the original CPI scales, of reduced scales (with common items removed), and of the number of common…

Academic psychology has long been composed of two disciplines, one experimental and one correlational. These two disciplines each developed their own method of studying structure in data: multidimensional scaling (MDS) and factor analysis. Both methods use similar kinds of input data, proximity measures on object pairs. Both represent the object…

The Rasch item fit approach for detecting multidimensionality in response data is compared with principal component analysis without rotation using simulated data. Results indicate that both approaches work in a variety of multidimensional data structures, but the Rasch item fit is better under some circumstances, as discussed. (SLD)

A common problem in the behavioral sciences is to determine if a set of observed variables can be more parsimoniously represented by a smaller set of derived variables. To address this problem, the performance of five methods for determining the number of components to retain (Horn's parallel analysis, Velicer's Minimum Average Partial (MAP),…

The scores of 79 second-grade pupils on the Ravens Colored Progressive Matrices and the Bender Gestalt were factor-analyzed using six different factor-analytic procedures. Sex, age, and vocabulary test scores were included in the analysis as marker variables. The original factor solutions were subjected to oblique transformation and the…

In 1980, the Michigan Educational Assessment Program (MEAP) revised the instruments used to assess basic skills attainment in mathematics and reading of all students in grades 4, 7, and 10. The research summarized in this paper examined the factor structures of the 1979 and 1980 versions of the Grade 10 MEAP mathematics test. These two versions…