An algorithm for obtaining initial values for the minimization process in covariance structure analysis is developed that is more generally applicable for computing parameters connected to latent variables than the currently existing ones. The algorithm is formulated in terms of the RAM model but can be extended. (SLD)

Structural equation modeling was used to examine how maternal distress mediated the link between exposure to community violence (CV) and development of early child behavior problems. Findings indicated that direct CV-early child behavior problems path diminished when maternal distress was included in the model, after controlling for maternal SES…

Structural equation modeling (SEM) is a data-analytic technique that allows researchers to test complex theoretical models. Most published applications of SEM involve analyses of cross-sectional recursive (i.e., unidirectional) models, but it is possible for researchers to test more complex designs that involve variables observed at multiple…

This study investigated the relationship between examinee proficiency and the structure of the Test of English as a Foreign Language (TOEFL) and the Speaking Proficiency in English Assessment Kit (SPEAK). Specifically, using multi-group structural equation modeling, this study tested two competing hypotheses about the relationship: whether or not…

Van de Pol and Langeheine (1990) presented a general framework for Markov modeling of repeatedly measured discrete data. We discuss analogical single indicator models for normally distributed responses. In contrast to discrete models, which have been studied extensively, analogical continuous response models have hardly been considered. These…

A concrete example is used to illustrate maximum likelihood estimation of a structural equation model with two unknown parameters. The fitting function is found for the example, as are the vector of first-order partial derivatives, the matrix of second-order partial derivatives, and the estimates obtained from each iteration of the Newton-Raphson…

Structural equation modeling (SEM) is a versatile statistical modeling tool. Its estimation techniques, modeling capacities, and breadth of applications are expanding rapidly. This module introduces some common terminologies. General steps of SEM are discussed along with important considerations in each step. Simple examples are provided to…

Researchers conducting structural equation modeling analyses rarely, if ever, control for the inflated probability of Type I errors when evaluating the statistical significance of multiple parameters in a model. In this study, the Type I error control, power and true model rates of famsilywise and false discovery rate controlling procedures were…

The study investigated the determinants of English reading and mathematics achievement in 1,656 11.5-year-old students from 60 schools in a developing country, the Philippines. The main variables of interest were related to socioeconomic status, out-of-school time (OST), and school quality. The correlates of achievement were explored using…

The authors examined the development of oral language and decoding skills from preschool to early elementary school and their relation to beginning reading comprehension using a cross-sequential design. Four- and 6-year-old children were tested on oral language and decoding skills and were retested 2 years later. In all age groups, oral language…

Regional Australian students were surveyed to explore their understanding and knowledge of the greenhouse effect, ozone depletion and climate change. Results were compared with a parallel study undertaken in 1991 in a regional UK city. The comparison was conducted to investigate whether more awareness and understanding of these issues is…

Our purpose was to advance and test a theoretical model of the nature and function of trust in schools. Unlike other studies, ours specified school trust as a latent construct manifested through parent and teacher trust perceptions. We hypothesized that trust would have a larger direct effect on collective teacher efficacy and achievement…

Critics of moral judgment measures question whether the obtained pattern of relationships between moral judgment scores and outcome variables might be better explained by verbal/general ability. To address this concern, we assess the degree to which moral judgment development reduces to verbal ability using the Defining Issues Test (DIT). Our…

The purpose of this study was to examine the causal relationships between S-OJT trainer preparation, self-efficacy as a trainer, trainers' delivery of S-OJT, and organizational commitment as a consequence of employing S-OJT. This study proposed a theoretical model from the review of related literature and then empirically investigated the fitness…

Institutions of higher education have increasing turned to web portals as a way to connect with students. These portals are designed to provide students a centralized point of access to information and services. In spite of the efforts put into developing and maintaining these portals, their use by students can be disappointing. The study…