Reviews the literature to enhance practitioner understanding of career indecision. Attempts to answer two questions: (1) What are correlates of career indecision? and (2) How is it measured? Summarizes findings; suggests research areas. (CH)

Redundancy analysis (also called principal components analysis of instrumental variables) is generalized to qualitative variables; it then gives implicitly a simultaneous "optimal" scaling of the dependent, qualitative variables. Examples are taken from the Dutch Life Situation Survey 1977. (Author/BW)

The purpose of this study was to demonstrate a potential difficulty with relying on null models in LISREL confirmatory factor analytic measurement models and to offer several suggestions for dealing with this concern. Using randomly generated factors in a matrix of 46 aptitude tests, it was shown that this approach is unlikely to reject even…

Employed confirmatory and exploratory factor analytic methods to test the hypothesis that Spielberger's revised four-factor model of anxiety was valid for characterizing the anxiety of Blacks. Administered the State-Trait Anxiety Inventory to 182 Black adults. Confirmed the state-trait assertion, but not the four-factor model of anxiety-present…

Study determines that solutions derived by multiple group analysis and item-total correlation analysis were generally most interpretable from a psychological perspective. It was concluded that their application to test construction is preferred over Procrustean or confirmatory maximum likelihood approaches. (RB)

Study examined the factorial invariance of responses by preadolescent males and females to a multidimensional self-concept instrument. Also demonstrated how confirmatory factor analysis is used to test factorial invariance and examined problems with its use and interpretation. (RB)

Presents four tables for the statistical interpretation of factor scores on the Wechsler Intelligence Scale for Children-Revised. Provides the percentile equivalents of factor scores; the significance of differences between factor scores; the frequency with which specified discrepancies occur; the significance of differences between a factor score…

Presents and illustrates structural equation modeling (multivariate analysis with latent variables, also called causal modeling or covariance structure analysis), discussing issues and problems related to the use of this methodology, possible applications of structural equation modeling to counseling psychology research, and resources for further…

Equivalence of marginal likelihood of the two-parameter normal ogive model in item response theory and factor analysis of dichotomized variables was formally proved. Ordered and unordered categorical data and paired comparisons data were discussed, and a taxonomy of data for the models was suggested. (Author/GDC)

A general latent variable model allows for maximum likelihood estimation with missing data. LISREL and LISCOMP programs may be used to carry out this estimation. Simulated data were generated. The proposed Full, Quasi-Likelihood estimator was found to be superior to listwise present quasi-likelihood and pairwise present approaches. (Author/GDC)

Examined three definitions of learning disabilities (LD), ability-achievement discrepancy, low achievement, and scatter, to determine common variance among 48 LD children and 96 non-LD children. Factor analysis resulted in two distinct groupings of LD students; low achievement accounted for over four times as much variance as ability-achievement…

Presents results of confirmatory factor analysis of the Kaufman Assessment Battery for children which is based on the underlying theoretical model of sequential, simultaneous, and achievement factors. Found support for the two-factor, simultaneous and sequential processing model. (MCF)

Examined the factor structure of the Luria-Nebraska Neuropsychological Battery-Children's Revision in a population of learning-disabled children (N=100). Factor analysis and varimax rotation revealed three factors: a language-general intellectual factor, a reading-written expression factor, and a sensory-motor factor. (Author/MCF)

The extension of regression estimation and poststratification to factor analysis is considered. These methods may be used either to improve the efficiency of estimation or to adjust for the effects of nonrandom selection. The estimation procedure may be formulated in a LISTREL framework. (Author/LMO)

Factor analyzed the Hong Kong Wechsler Intelligence Scale for Children (HK-WISC), across 11 age groups in the standardization sample of Chinese children (N=1,100). Results indicated that the three factors, Verbal Comprehension, Perceptual Organization, and Freedom from Distractibility, identified in the Wechsler Intelligence Scale for…