As part of a longitudinal study, the Cognitive Triad Inventory for Children (CTI-C; N. J. Kaslow, K. D. Stark, B. Printz, R. Livingston, & S. L. Tsai, 1992) as well as other measures of cognitive style and depressive symptoms were administered annually to 3 cohorts of children starting in Grades 2, 4, and 6. Developmentally based analyses revealed…

The survey Performance Standards for In-service Teachers is widely used to help describe teacher skills relating to instructional technology for assessment or planning of professional development. It is based on the six constructs of the National Educational Technology Standards for Teachers, and though used broadly in a variety of contexts, it…

Subjective well-being is an increasingly common indicator of adequacy of psychiatric services. An easy-to-administer assessment tool of subjective well-being that is conceptually sound, valid, and reliable is needed for use in persons with schizophrenia. The purpose of this paper was to validate the 5-item Satisfaction with Life Scale…

Various analytic choices in principal components and common factor analysis are discussed. Differences and similarities among these extraction methods are explained, and aids in interpreting the origin of detected effects are explored. Specifically, the nature and use of structure and pattern coefficients are examined. Communalities and methods…

Whether "more is ever too much" for the number of indicators (p) per factor (p/f) in confirmatory factor analysis (CFA) was studied by varying sample size (N) from 50 to 1,000 and p/f from 2 to 12 items per factor in 30,000 Monte Carlo simulations. For all sample sizes, solution behavior steadily improved (more proper solutions and more…

Data reduction techniques seek to combine variables that account for patterns of variation in observed dependent variables in such a way that a simpler model is available for analysis. Factor analysis is a data reduction technique that attempts to model or explain a set of variables in terms of their associations. To understand why this technique…

Many researchers acknowledge the prominent role that factor analysis can play in efforts to establish construct validity. Data can be analyzed with no preconceived ideas about the underlying constructs of structure of the data. This approach is exploratory factor analysis, Another approach is used when the researcher has an understanding of the…

A relatively simple technique for assessing the convergence of sets of variables across method domains is presented. The technique, two-step principal components analysis, empirically orthogonalizes each method domain into sets of components, and then analyzes convergence among components across domains. (Author)

This study investigated the factorial composition of responses to the Life Style Analysis (LSA) in two normal and four clinical groups. (Author)

The factor structures of the College Student Questionnaire were investigated for three large samples of freshmen. The results demonstrated the variety of information contained in these instruments and questioned the choice of some items used in the suggested scales. (Author)

The factor analytic studies that have been done with the Millon Clinical Multiaxial Inventory (MCMI), a 175-item paper-and-pencil test designed to evaluate symptomology in psychiatric patients, have been problematic in that the test's high inter-scale correlation could lead to an artificially robust factor structure. The present investigation…

A factor analysis of the correlation matrix for the subsets of WPPSI was carried out for each of the age groups between 4 and 6 1/2 years. (Editor)