Three correlation matrices of readability variables were factor analyzed and the results compared to factor analyses of earlier matrices and to each other. (HOD)

The coefficient of congruence is a quantitative measure of the similarity of factor structures for different samples of subjects. This paper is intended to inform interested readers of the availability of a computer program capable of computing coefficients of congruence of factor structures. (Author)

A computer program to perform multiple-group factor analysis is presented. Written in Fortran Four, the program has a special feature to handle variables with strong negative correlations. (Author)

In exploratory common factor analysis, extension analysis refers to computing the relationship of the common factors to variables that were not included in the factor analysis. A new extension procedure is presented that gives correlations without using estimated factor scores. Advantages of the new method are illustrated. (SLD)

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)

Developed a closed form expression for the asymptotic bias of the explained common variance, or the unexplained common variance under assumptions of multivariate normality in minimum rank factor analysis. Findings from existing data sets show that the presented asymptotic statistical inference is based on a recently developed perturbation theory…

Use of the bootstrap method to approximate the sampling variation of eigenvalues is explicated, and its usefulness is amplified by an illustration in conjunction with two commonly used factor criteria. These criteria are eigenvalues larger than one and the Scree test. (TJH)

A means of transforming multitrait-multimethod (MTMM) matrices into a classical multiple group factor analysis is outlined. A reanalysis of two numerical illustrations shows that the classical procedure yields results similar to those reached by D. N. Jackson's (1975) two-step procedure for analysis of MTMM matrices. (TJH)

Reviews entities that can be factored, with emphasis on Q-technique analyses. Explains basic rationale for Q-technique factor analysis, offers guidelines regarding use of Q-technique factor analysis, presents studies to illustrate applications of Q-technique factor analysis, and discusses special considerations with regard to Q-technique factor…

Describes a study that defined and provided initial empirical support for differentiating the concepts of computer attitude, subjective computer experience, and objective computer experience. Discusses results of a principal component factor analysis and presents a conceptual analysis of the relation between subjective computer experience and…

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…

Considers P. Schonemann's simulation study in light of the multigroup principal component analysis model and interprets it as a study of the specificity of Spearman correlations, given model violations. Asserts that the Spearman correlation is a suboptimal test of Spearman's hypothesis and contends that an explicit model-based approach should be…

This paper describes an initial attempt to assess the subjective well-being of a sample of 227 Tongans via self-report. Using items adapted from the Subjective Well Being Inventory (SUBI; Nagpal and Sell, 1985; Sell and Nagpal, 1992), participants rated their level of overall life satisfaction along with their perceptions of well-being in a number…

Background: Understanding arithmetical principles is a key part of a conceptual understanding of mathematics. However, very little attention has been paid to children's understanding of multiplicative, as compared to additive, principles. Aims: This study investigated (a) children's ability to use commutative and distributive cues to solve…

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…