A model incorporating the direct and indirect effects of parental monitoring on adolescent alcohol use was evaluated by applying structural equation modeling (SEM) techniques to data on 4,765 tenth-graders in the 2001 Monitoring the Future Study. Analyses indicated good fit of hypothesized measurement and structural models. Analyses supported both…

University faculty members play an essential role in ensuring that students with disabilities receive a quality postsecondary education. Many factors influence the willingness of faculty to provide quality services. The purpose of this survey study was to identify these influential factors through a structural equation modeling model. Findings…

Drawing from the contributions of vocational psychology, this study examined school engagement as a mediator of academic performance through the effects of career preparation (career planning, career decision-making self-efficacy), parental career support, and teacher support among diverse urban youth in middle school and high school (N = 285).…

Many college administrators and researchers assert that diversity interactions are critical for preparing young adults for a diverse society, but very little research has examined the long-term impact of these experiences. This study examines a longitudinal sample of college students (n = 416) who were followed into their mid-30s. Structural…

The purpose of this study was to assess the association between acculturation and functional health using multiple proxies of acculturation to examine explanatory pathways to clarify disparate health findings. A population-based cross-sectional, multistage probability sample from the Hispanic Established Populations for the Epidemiologic Studies…

Statistical procedures based on the general linear model (GLM) share much in common with one another, both conceptually and practically. The use of structural equation modeling path diagrams as tools for teaching the GLM as a body of connected statistical procedures is presented. A heuristic data set is used to demonstrate a variety of univariate…

This article examines 4 approaches for explaining shared method variance, each applied to a longitudinal trait-state-occasion (TSO) model. Many approaches have been developed to account for shared method variance in multitrait-multimethod (MTMM) data. Some of these MTMM approaches (correlated method, orthogonal method, correlated method minus one,…

Structural equation modeling provides the framework for investigating experimental effects on the basis of variances and covariances in repeated measurements. A special type of confirmatory factor analysis as part of this framework enables the appropriate representation of the experimental effect and the separation of experimental and…

One can distinguish statistical models used in causal modeling from the causal interpretations that align them with substantive hypotheses. Causal modeling typically assumes an efficient causal interpretation of the statistical model. Causal modeling can also make use of mereological causal interpretations in which the state of the parts…

This research provides a direct comparison of effect size estimates based on structural equation modeling (SEM), item response theory (IRT), and raw scores. Differences between the SEM, IRT, and raw score approaches are examined under a variety of data conditions (IRT models underlying the data, test lengths, magnitude of group differences, and…

Recent missing data studies have argued in favor of an "inclusive analytic strategy" that incorporates auxiliary variables into the estimation routine, and Graham (2003) outlined methods for incorporating auxiliary variables into structural equation analyses. In practice, the auxiliary variables often have missing values, so it is reasonable to…

Using insights from ethnographic studies of conservative Protestant congregations, the authors propose and test a refined conceptual model of theological conservatism that accounts for three key components of a theologically conservative worldview: (1. epistemology, a belief in the Bible as the inspired word of God, (2. ontology, assumptions about…

Incomplete or missing data is a common problem in almost all areas of empirical research. It is well known that simple and ad hoc methods such as complete case analysis or mean imputation can lead to biased and/or inefficient estimates. The method of maximum likelihood works well; however, when the missing data mechanism is not one of missing…

Trust influences interactions among individuals and organizations but has been an elusive concept to define and measure. The Organizational Trust Inventory (OTI) measures three dimensions of organizational trust, as defined by Cummings and Bromiley (in: Kramer and Tyler (eds) Trust in Organizations, 1996), believing or feeling that others: keep…

The relations among several alternative parameterizations of the binary factor analysis model and the 2-parameter item response theory model are discussed. It is pointed out that different parameterizations of factor analysis model parameters can be transformed into item response model theory parameters, and general formulas are provided.…