A reanalysis of the intercorrelation matrix from a principal components analysis of the Life Styles Inventory was conducted using a Canadian sample. Using nonmetric multidimensional scaling, analyses show an almost perfect circumplex pattern. Results illustrate the inadequacy of factor analytic procedures for the analysis and representation of a…

Although some research has examined the factorial nature of the Multidimensional Aptitude Battery (MAB), none has tested hypotheses relevant to both oblique and orthogonal models via confirmatory factor analysis. Thus, in this investigation, a series of models was tested, which compared the model fit of both oblique/higher order models against a…

The Guttman model of scale analysis has found continued use in sociological analysis despite criticisms placed against it. An empirical example is provided of the use of factor analysis with Guttman scaling even taking into account the criticisms of both very restricted item number of dichotomous responses. Data came from a questionnaire using…

Tested the California Psychological Inventory Socialization scale's dimensionality on three groups of male and female, criminal or noncriminal subjects. The fit of a one-factor model for all three groups was tested in a simultaneous factor analysis for several populations, and good fit was obtained. (Author)

Concerned with consequences of employing the INDSCAL model when one of its assumptions are known to be violated. Under study is the notion that all individuals perceive the object space dimensions to be independent. (RC)

This paper presents a method which can be used to obtain evidence that the concepts rated on semantic differential scales are appropriate for given study. An analysis of six semantic differential concepts, as perceived by 168 graduate education students, is presented; variations of the method are discussed. (Author/GSK)

Homogeneity analysis (multiple correspondence analysis), which is usually applied to "k" separate variables, was applied to sets of variables by using sums within sets. The resulting technique, OVERALS, uses optimal scaling. The corresponding OVERALS computer program minimizes a least squares loss function via an alternating least…

Investigates the factor structure of five self-concept scales from a hierarchical, multidimensional theoretical model. The scales were administered to 221 students in grades 5 through 8. Each scale yielded strong general factors and six dominant factors that coincide with the proposed theoretical model, which reflects social, affect, competence,…

The purpose of this study is to evaluate the domain specificity of multidimensional motivation and engagement (adaptive cognitions, adaptive behaviors, impeding/maladaptive cognitions, maladaptive behaviors) in mathematics, English and science high school subjects, with an additional focus on three key educational correlates (educational…

The paper is a critique of the traditional mode of interpreting factor analyses; it is not a criticism of factor analysis per se. Instead, the author proposes a statistical procedure based upon stepwise regression (SRP). The traditional mode focuses on the largest factor loadings (FL). A factor is both described and named by these heavily weighted…

Many data analysis problems in psychology may be posed conveniently in terms which place the parameters to be estimated on one side of an equation and an expression in these parameters on the other side. A rule for improving the rate of convergence of the iterative solution of such equations is developed and applied to four problems. (Author/RC)

Illustrated is the power of multidimensional scaling in reducing a complex set of proximity measures to a simple geometric picture that shows the relationship among data objects. Methods are discussed for determining the number of dimensions needed to represent a set. (Author/DEP)

A questionnaire was constructed for the purpose of investigating various aspects of the career choices made by graduate students. The research was to determine the underlying structure of the questionnaire and to compare the capability of nonmetric multidimensional scaling (MDS) and linear factor analysis (FA) to reveal dimensions measured by the…

This study was undertaken to compare non-metric multidimensional scaling (MDS) and factor analysis (FA) as means of assessing dimensionality in relation to item response theory (IRT). FA assesses correlation matrices, while MDS performs an analysis of proximity measures. Seven data sets were generated; each differed from the others with respect to…

The purpose of this paper is to examine the capabilities of various procedures for sorting dichotomously-scored items into unidimensional subjects. The procedures include: factor analysis, nonmetric multidimensional scaling, cluster analysis, and latent trait analysis. Both simulated and real data sets of known structure were used to evaluate the…