This study empirically investigated bootstrap bias estimation in the area of structural equation modeling (SEM). Three correctly specified SEM models were used under four different sample size conditions. Monte Carlo experiments were carried out to generate the criteria against which bootstrap bias estimation should be judged. For SEM fit indices,…

This study described an explicit multidimensional scaling (MDS) model for profile data, the Profile Analysis via Multidimensional Scaling (PAMS) model. It also illustrated the application of this model to the study of the structure of cognitive ability patterns using the Woodcock-Johnson Psychoeducational Battery-Revised (WJPB-R; 1989; 1991) and…

Presents an application of latent growth curve methodology to the analysis of longitudinal developmental change in alcohol consumption of 586 young adults, illustrating three approaches to the analysis of missing data: (1) multiple-sample structural equation modeling procedures; (2) raw maximum likelihood analyses; and (3) multiple modeling and…

Chest pain was identified as a specific medical problem space, and disease classes were modeled to define it. Results from a test taken by 628 medical residents indicate a second-order factor structure that suggests that chest pain is a multidimensional problem space. Implications for medical education are discussed. (SLD)

Used latent means analysis in the framework of structural equation modeling to explore the factor structure and gender differences associated with the Personal Style Inventory (PSI; C. Robins and others, 1994) with 508 Korean undergraduates. Results support the cross-cultural stability of the PSI factor structure. Women had higher scores than men…

Fitted structural equation models to covariances among 9 cognitive abilities Test variables, 11 intelligence test variables, and 3 achievement test scaled scores of 532 primary school children in a twin studies project. Results suggest that individual differences in mental speed are a main causal factor underlying correlation between general…

Notes that structural equation modeling (SEM) is a viable multivariate tool used by communication researchers for the past quarter century. Summarizes the use of this technique from 1995-2000 in 37 communication-based academic journals. Identifies and critically assesses 3 unique methods for testing structural relationships via SEM in terms of the…

Argues that data on siblings provide a way to account for the impact of unmeasured, omitted variables on relationships of interest because families form a sort of natural experiment, with similar experiences and common genetic heritage. Proposes a latent-variable structural equation approach to the problem, which provides estimates of both within-…

Applies the social relations model (SRM), designed to analyze nonindependent data, as a solution for studying the ways in which group members interrelate and influence one another that avoids some of the data analysis problems indigenous to group psychotherapy research. Discusses examples of applications of SRM to previously inaccessible research…

A group of 149 adult survivors of childhood sexual abuse was tested using a causal model that identifies relationships among sexual abuse situation characteristics, the accomplishment of cognitive coping tasks, and long-term effects. Results indicated the model did not fit the data. A revised model is proposed and examined. (JBJ)

Applied structural equation modeling to twin data to assess impact of genetic and environmental factors on children's behavioral and emotional functioning. Applied models to maternal ratings of behavior of 515 monozygotic and 749 dizygotic twin pairs. Importance of genetic, shared, and specific environmental factors for explaining variation was…

Nonlinear relationships and latent variable assumptions can lead to serious specification errors in structural models. A quadratic relationship, described by a linear structural model with a latent variable, is shown to have less predictive validity than a simple manifest variable regression model. Advocates the use of simpler preliminary…

A reparameterization is formulated that yields estimates of scale-invariant parameters in recursive path models with latent variables, and (asymptotically) correct standard errors, without the use of constrained optimization. The method is based on the logical structure of the reticular action model. (Author)

The association between adaptive and maladaptive dimensions of perfectionism was examined in relation to self-esteem and depression. Confirmatory factor analysis was used to develop and assess the measurement model used. A mediation model was tested with structural equations. Two perfectionism factors were found and outcomes distinguished by path…

Illustrates an approach to modeling educational effectiveness in classrooms by combining multilevel analysis and structural equation modeling in a two-step process. Data from a longitudinal study of 4,558 students in 334 class groups show how progress can be accounted for by the grouping effects of students within classes and schools. (SLD)