Seven approaches to averaging reliability coefficients are presented. Each approach starts with a unique definition of the concept of "average," and no approach is more correct than the others. Six of the approaches are applicable to internal consistency coefficients. The seventh approach is specific to alternate-forms coefficients. Although the…

A Bayesian approach is developed for analyzing nonlinear structural equation models with nonignorable missing data. The nonignorable missingness mechanism is specified by a logistic regression model. A hybrid algorithm that combines the Gibbs sampler and the Metropolis-Hastings algorithm is used to produce the joint Bayesian estimates of…

Latent trajectories of credit hour accumulation were modeled using three independent samples of community college students. Five qualitatively distinct patterns of persistence emerged from these samples: Full-time, long-term; 2 years and out; long-term decliners; part-time, long-term; and one term and out. Follow-up analyses using measures on the…

Positive school environments and school belonging have been associated with a variety of positive academic, social, and psychological outcomes among youth. Yet, it is not clear how these constructs are related, and few studies have focused on urban at-risk youth with disabilities. This study examines baseline survey data from 136 low-income…

This paper concerns the divisibility of comprehension subskills measured in L2 listening and reading tests. Motivated by the administration of the new Web-based English as a Second Language Placement Exam (WB-ESLPE) at UCLA, this study addresses the following research questions: first, to what extent do the WB-ESLPE listening and reading items…

This paper describes structural equation modeling (SEM) in comparison with another overarching analysis within the general linear model (GLM) analytic family: canonical correlation analysis. The uninitiated reader can gain an understanding of SEM's basic tenets and applications. Latent constructs discovered via a measurement model are explored and…

This simulation study focused on the power of detecting group differences in linear growth trajectory parameters within the framework of structural equation modeling (SEM) and compared this approach with the more traditional repeated measures analysis of variance (ANOVA) approach. Three broad conditions of group differences in linear growth…

A didactic example is presented of the application of new developments in structural equation modeling that allow for the modeling of multilevel data. The method, a synthesis of methods developed by B. Muthen, is applied to the problem of validating indicators of science education quality in the United States. (SLD)

The SEPATH structural equation modeling (SEM) software is a new module in the latest release of STATISTICA (version 5.0) for Windows 3.1 and Windows 95. SEPATH is a program that provides a comprehensive set of functions for the SEM modeling. The interface and the Monte Carlo capability are strong features. (SLD)

Relative fit indices using the null model as the reference point in computation may differ across estimation methods, as this article illustrates by comparing maximum likelihood, ordinary least squares, and generalized least squares estimation in structural equation modeling. The illustration uses a covariance matrix for six observed variables…

Multiple-group structural equation modeling was used to analyze structural relationships between latent factors underlying measures of handwriting, spelling, and composing for students in grades one through six. Results with 300 children show that the mechanical skills of writing may constrain the amount and quality of composing. (SLD)

Examined several hypotheses about the suitability of the noncentral chi square in applied research using Monte Carlo simulation experiments with seven sample sizes and three distinct model types, each with five specifications. Results show that, in general, for models with small to moderate misspecification, the noncentral chi-square is well…

Structural equation modeling of data from 4,034 Canadian adolescents yielded a factor composed of academic achievement, extracurricular reading, attitudes toward school and homework, and parental educational expectations that predicted 76% of variance in educational aspirations. Positive family climate and parental involvement fostered a positive…

Using two-level structural equation modeling, examined the dimensionality of socioeconomic status (SES) and its relationship with mathematics and science performance at student and school levels. Data from 13-year-olds from the Third International Mathematics and Science Study show that SES dimensions have different effects on mathematics and…

Developed a Bayesian approach for structural equation models with ignorable missing continuous and polytomous data that obtains joint Bayesian estimates of thresholds, structural parameters, and latent factor scores simultaneously. Illustrated the approach through analysis of a real data set of 20 patterns of condom use in the Philippines. (SLD)