Some problems of multiple-group factor rotation based on the parallel proportional profiles and confactor rotation of R. B. Cattell are described, and several alternative modeling solutions are proposed. Benefits and limitations of the structural-modeling approach to oblique confactor resolution are examined, and opportunities for research are…

In matrix comparison, the performance of four vector matching indices (the coefficient of congruence, the Pearson product moment correlation, the "s"-statistic, and kappa) was evaluated. Advantages and disadvantages of each index are discussed, and the performance of each was assessed within the framework of principal components…

PARAFAC is a generalization of principal components analysis in a factor score matrix and in a factor loadings matrix. How PARAFAC behaves when applied to positive manifold data is examined, and a constrained PARAFAC method is offered for use when PARAFAC does not produce a positive manifold solution. (SLD)

Using explicit formulas for the information matrix of maximum likelihood factor analysis under multivariate normal theory, gross and net information for estimating the parameters in a covariance structure gained by adding the associated mean structure are defined. (Author/SLD)

Examined the factor structure of the Organizational Identification Questionnaire (G. Cheney, 1982), widely used to assess organizational identification. Analysis of results from 369 social-service employers yields four first-order and two second-order components. Contains 33 references. (SLD)

Explores the relationship between the higher-order factor model and the hierarchical factor model and shows that the Schmid-Leiman transformation process (J. Schmid and J. Leiman, 1957) produces constrained hierarchical factor solutions. Shows that the two models are not mathematically equivalent unless appropriate direct effects are added. (SLD)

Presents frequently encountered measurement misconceptions and various measurement "rules." Origins of the misconceptions and rules are described, along with the reasons why they are problematic. Alternate approaches or considerations are given. Misconceptions discussed pertain to the estimation of internal consistency reliability and item…

Discusses the conceptual/theoretical design, statistical, and reporting issues in choosing factor analysis for research. Provides questions to consider when planning, analyzing, or reporting an exploratory factor analysis study. (SK)

Investigated descriptive statistics for and factor validity of scores on the Revised Conflict Tactics Scale (CTS2) (M. Straus, 1979) based on the responses of 295 high-risk postpartum women. Results are similar to those obtained from a sample of college students in a previous study and support a five-factor model. (SLD)

Some three-way factor analysis and multidimensional scaling models incorporate the principle of parallel proportional profiles of R. B. Cattell. Proof is presented for a unique axis orientation for a more general parallel profiles model that incorporates interacting dimensions. Special cases of PARAFAC2 and CANDECOMP models are discussed. (SLD)

Using simulation, studied the influence of each of 12 imputation methods and 2 methods using the EM algorithm on the results of maximum likelihood factor analysis as compared with results from the complete data factor analysis (no missing scores). Discusses why EM methods recovered complete data factor loadings better than imputation methods. (SLD)

This article describes the development and validation of a short version of the Index of Race-Related Stress - Brief Version (IRSS-B). The IRRS-B is a 22-item, multidimensional measure of the race-related stress experienced by African Americans as a result of their encounters with racism. (Author/MKA)

Using higher order factor models, this article illustrates latent curve analysis for the purpose of modeling longitudinal change directly in a latent construct. Provides examples with simultaneous estimation of covariance and mean structures for a single-group and two-group structure. (SLD)

Studies of factorial invariance examine whether a common factor model holds across multiple populations with identical parameter values. Partial factorial invariance exists when some, but not all, parameters are invariant. The literature on factorial invariance is unclear about what should be done if partial invariance is found. One approach to…

Multimedia technology in principle may help speakers to deliver more effective presentations. The present study examined what effectiveness might mean in terms of audience reaction. Understanding that may help educators to use multimedia more effectively themselves and to help their students to do so. Descriptors were elicited from audiences in…