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.…

Investigates the relationship between three factors of working memory (storage and processing, relational integration, and supervision) and four factors of intelligence (reasoning, speed, memory, and creativity) using structural equation models. Relational integration predicted reasoning ability at least as well as the storage-and-processing…

This article provides the theory and application of the 2-stage maximum likelihood (ML) procedure for structural equation modeling (SEM) with missing data. The validity of this procedure does not require the assumption of a normally distributed population. When the population is normally distributed and all missing data are missing at random…

The purpose of this study was to (a) determine the extent to which Latina/o students' perceptions of support from high school teachers and counselors, as well as acculturation, predict enrollment in AP coursework; (b) examine Latina/o students' perceptions of different forms of support that appear to play a role in academic success (Hassinger…

Objective: Application of the Transtheoretical Model (TTM) to Supplemental Nutrition Assistance Program Education (SNAP-Ed) evaluation and development and validation of an evaluation tool used to measure TTM constructs is described. Methods: Surveys were collected from parents of children receiving food at Summer Food Service Program sites prior…

This study examines the computer self-efficacy among pre-service teachers (N = 708) at a teacher training institute in Singapore. Data were collected through self-reported ratings on a 7-point Likert-type scale. Exploratory factor analysis (EFA) was performed on an initial sample (N = 354) and the result revealed that pre-service teachers'…

This study provides important insights into the relationship between the epistemological beliefs of community college students, the selection of learning strategies, and academic achievement. This study employed a quantitative survey design. Data were collected by surveying students at a community college during the spring semester of 2010. The…