The accuracy of Houle's typology in providing an accurate conceptual description of systematic structural forms of continuing professional education and business education instructors was tested via a survey of 98 (of 129) business educators. Results of rotation factor analysis added inquiry/reinforcement to Houle's 3 learning modes of…

The Performance Scale of the Wechsler Adult Intelligence Scale-Revised was administered to 185 hearing-impaired young adults. A gender difference was found only on the Digit Symbol subtest, where females outperformed males. The high degree of factorial similarity between males and females indicated that the underlying construct being measured does…

The importance of defining variables to be put into correlation tables for factor-analytic research into intelligence is discussed. Research on job analysis, task decomposition, performance-related intelligence changes, and cross-cultural differences could be incorporated into definition of variables. (TJH)

The internal correlation--a measure of dependency in a set of variables--is discussed and generalized. Applications of the internal correlation coefficient and its generalizations are given for several data-analytic situations. The internal correlation is illustrated and the concept is expanded to a series of additional indices. (TJH)

Use of internal correlation for statistical analysis--proposed by G. W. Joe and J. L. Mendoza (1989)--is discussed. Focus is on the "content" question (what this application can do with the information that statistics contain) and the "eloquence" question (the advantages of this means of encoding information over other means). (TJH)

Multivariate distributions are studied in which all bivariate regressions can be linearized by separate transformation of each of the variables. A two-stage procedure, first scaling the variables optimally and then fitting a simultaneous equations model, is studied in detail. (SLD)

Subjected Modified World Affairs Questionnaire (MWAQ) to comparable common factor analysis which identified five factors: civil defense, escalation, nuclear war outcome, probability/worry, and patriotic. Alpha coefficients and test-retest reliability were determined to be adequate for the first four subscales. Acceptable discriminant validity and…

Satisfactory results for interpersonally incomparable ordinal survey responses can be obtained by assuming that rankings are based upon a set of multivariate normal latent variables that satisfy factor or ideal point models of choice. Two statistical methods based upon those assumptions are described and illustrated via simulations. (TJH)

Observational ratings of 112 preschool student teachers on 9 teaching behaviors were factor analyzed to yield 4 underlying latent variables: facilitating, interpersonal, interactive, and flexible behaviors. The latent variables were positively correlated with each other. A path diagram illustrates the relationships among teaching behaviors and…

The parameters of full-information item factor models of varying dimensionality and mixed-measurement models of varying numbers of latent classes were estimated in 1,000 responses to a measure of Positive Interpersonal Engagement. The most appropriate representation of the data and deciding between mixed-measurement and dimensional representations…

Argues that data on siblings provide a way to account for the impact of unmeasured, omitted variables on relationships of interest because families form a sort of natural experiment, with similar experiences and common genetic heritage. Proposes a latent-variable structural equation approach to the problem, which provides estimates of both within-…

This study investigated the psychometric characteristics of the Family Empowerment Scale (FES) with 228 families having children with severe emotional disturbance or attention deficit/hyperactivity disorder. Factor analyses provided a four-factor solution (systems advocacy, knowledge, competence, and self-efficacy) and supported the use of the…

It is shown that goodness-of-fit criteria developed for the evaluation of multivariate structural models can be applied to assist in evaluating the dimensionality of a test consisting of binary items, and correlative methods regularly used in factor analysis can be employed to diagnose causes of misfit. (Author)

The dynamic factor model proposed by P. C. Molenaar (1985) is exhibited, and a dynamic nonstationary factor model (DNFM) is constructed with latent factor series that have time-varying mean functions. The use of a DNFM is illustrated using data from a television viewing habits study. (SLD)

First- and second-round commentaries on an article by L. Guttman are presented. The following authors responded, with two articles each: (1) E. E. Roskam and J. Ellis; (2) P. H. Schonemann; (3) A. R. Jensen; (4) J. C. Loehlin; and (5) J.-E. Gustafsson. (SLD)