Background: In Australia, diagnosis and management of depression in adults with intellectual disability (ID) often occurs within the primary care setting. Few tools are available to assist general practitioners (GPs) in the diagnostic process. The study aim was to assess properties of carer and GP checklists developed to address this problem.…

National background of users may influence the process of technology acceptance. The present study explored this issue with the new, integrated technology use model proposed by Sun and Zhang (2006). Data were collected from samples of college students in India, Mauritius, Reunion Island, and United States. Questionnaire methodology and…

A confirmatory factor analysis was conducted to examine the structural validity of Daidalos, a 20-item inventory designed to assess the factors that might inhibit or promote successful career decision making, or career maturity. The sample consisted of 776 high school students; 367 were male and 409 were female. Participants ranged in age from 16…

The psychometric properties and multigroup measurement invariance of scores on the Self-Efficacy for Self-Regulated Learning Scale taken from Bandura's Children's Self-Efficacy Scale were assessed in a sample of 3,760 students from Grades 4 to 11. Latent means differences were also examined by gender and school level. Results reveal a…

Multi-group confirmatory factor analysis and multi-group structural equation modeling were used to test correlates of overt and relational aggression between young adolescent siblings across four groups (i.e., male/male, male/female, female/male, and female/female sibling pairs), using 433 predominately European American families. Similar patterns…

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…

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…

Most researchers using factor analysis extract factors from a matrix of Pearson product-moment correlation coefficients. A method is presented for extracting factors in a non-parametric way, by extracting factors from a matrix of Spearman rho (rank correlation) coefficients. It is possible to factor analyze a matrix of association such that…

Factor analysis attempts to study how different objects group together to form factors with the purposes of: (1) reducing the number of factorable entities (e.g., variables) with which the researcher needs to deal; (2) searching data for qualitative and quantitative differences; and (3) testing hypotheses (R. Gorsuch, 1983). While most factor…

It has been suggested that the Protestant Work Ethic (PWE) is a multidimensional concept. The concept of PWE has been examined in many different samples and societies. Very little research has been done concerning the factor structure of the PWE scale in a Chinese sample. This study examined the factor structure of the PWE scale in a sample of…

This study was directed to the hypothesis that on a test of vocabulary definition children of non-manual and manual fathers would differ progressively with age in total number of vocabulary responses and in number of abstract-type responses. (Author/RK)

The thesis of this article is that factor analysis can serve as a useful heuristic procedure for isolating and operationally defining constructs in rehabilitation counseling. (Author)

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)

Was undertaken to review and organize factor analytic studies for: (1) defining fundamental dimensions of variation for selected behavioral domains, (2) investigating correlational hypotheses at the dimensional level, (3) providing empirically derived conceptual frameworks for organizing trends in applied factor analytic research. (Author/RC)