To complement recent articles in this journal on structural equation modeling (SEM) practice and principles by Martens and by Quintana and Maxwell, respectively, the authors offer a consumer's guide to SEM. Using an example derived from theory and research on vocational psychology, the authors outline six steps in SEM: model specification,…

Formulas for the asymptotic biases of the parameter estimates in structural equation models are provided in the case of the Wishart maximum likelihood estimation for normally and nonnormally distributed variables. When multivariate normality is satisfied, considerable simplification is obtained for the models of unstandardized variables. Formulas…

Most psychometric tests of spatial ability are paper-and-pencil tasks at the ''figural'' scale of space, in that they involve inspecting, imagining or mentally transforming small shapes or manipulable objects. Environmental spatial tasks, such as wayfinding or learning the layout of a building or city, are carried out in larger spaces that…

The article uses confirmatory factor analysis (CFA) as a template to explain didactically multilevel structural equation models (ML-SEM) and to demonstrate the equivalence of general mixed-effects models and ML-SEM. An intuitively appealing graphical representation of complex ML-SEMs is introduced that succinctly describes the underlying model and…

L. L. Thurstone's (1927) model provides a powerful framework for modeling individual differences in choice behavior. An overview of Thurstonian models for comparative data is provided, including the classical Case V and Case III models as well as more general choice models with unrestricted and factor-analytic covariance structures. A flow chart…

Objective: This article discusses continued development of the Urban Hassles Index (UHI). The stressors identified in the UHI are chronic and differ substantively from the more acute life events indexes typically employed to measure adolescent stress. Method: Exploratory factor analysis was used to identify the underlying factor structure of the…

This collection of diverse conference papers discusses work in the traditions of factor analysis, ordinal psychometrics, structural equations, and some special purpose models for the analysis of change. It is a useful source, but does little to link the psychometric framework to general developments in statistics and other disciplines. (SLD)

Objectives: To test an original scale assessing perceived school climate for girls' physical activity in middle school girls. Methods: Confirmatory factor analysis (CFA) and structural equation modeling (SEM). Results: CFA retained 5 of 14 original items. A model with 2 correlated factors, perceptions about teachers' and boys' behaviors,…

Campaigns to prevent adolescent smoking increasingly depict the tobacco industry as deceitful and exploitative. This study was undertaken to determine how adolescents' expectations about the trustworthiness of companies, in general, influence the pathway through which anti-tobacco industry campaigns prevent smoking. Structural equation modeling…

The need for transplant exceeds the number of available organs. Antigen compatible organs are particularly scarce for African Americans because of their proportionately lower rate of donations. This study presents a measure of organ donation readiness. Examination of the factor structure and a test of weak invariance were conducted on…

In current research on parenting, 2 ways of conceptualizing perceived parental autonomy support can be distinguished. Parental autonomy support can be defined in terms of promotion of independence (PI) or in terms of promotion of volitional functioning (PVF). This study aimed to establish the empirical distinctiveness of both conceptualizations…

The role that language plays in mediating the influence of verbal descriptions of persons on trait ratings of those persons was studied for 280 college students. Results suggest that the influence of verbally communicated descriptions of persons on trait ratings is mediated by the expected latent factors. (SLD)

Structural equation models merge multiple regression, path analysis, and factor analysis techniques into a single data analytic framework. Measurement models are developed to define latent variables, and structural equations are then established among the latent variables. Explains the development of these models. (KS)

This study analyzed factors affecting self-esteem among individuals with severe mental illness to identify effective targets for social work interventions. Data were obtained from 290 individuals with psychiatric disability recruited from community-based psychosocial rehabilitation agencies. Analyses using structural equation modeling revealed…

Although a 2-factor model has advanced research on the psychopathy construct, a 3-factor model was recently developed that emphasized pathological personality and eliminated antisocial behavior. However, dropping antisocial behavior from the psychopathy construct may not be advantageous. Using a large sample of psychiatric patients from the…