This study examines the distribution differences across sexes in key measures of self-control theory and differences in a causal model. Using cross-sectional data from juveniles ("n" = 1,500), the study shows mean-level differences in many of the self-control, risky behavior, and delinquency measures. Structural equation modeling…

This article discusses 5 approaches that secondary researchers might use to obtain robust estimates in structural equation modeling analyses when using data that come from large survey programs. These survey programs usually collect data using complex sampling designs and estimates obtained from conventional analyses that ignore the dependencies…

Although decisions or inferences we make based on test scores depend both on characteristics of test-takers and of testing situations, little research has been undertaken on the effects of these characteristics on test performance (e.g., Alderson and Banerjee, 2002). This study focuses on one of the personal characteristics of test-takers, namely…

In this study, we report results of a study examining the relationship between home environment factors and reading achievement in Zimbabwe. The study utilised data collected by the Southern and Eastern Africa Consortium for Monitoring Educational Quality (SACMEQ). The data were submitted to linear regression analysis through structural equation…

This study investigates the interrelationships of academic causal attributions, academic self-concept, learning approaches, and their effects on academic achievement among Hong Kong Chinese tertiary students. It was hypothesized that academic causal attributions and academic self-concept affect the learning approaches students adopt and…

The potential application of the appraisal theory of emotions developed by I. Roseman and others (1990) to transactional models of stress-produced emotions in the work place was tested. Data were gathered from 231 graduate students in counseling who were asked to rate their appraisals of taking a new job and subsequent emotional reactions, as well…

The interview process was studied to uncover the relationship of expertise in psychotherapy to the likelihood of accurate diagnosis. Experience and training affect the number of diagnostic questions clinicians ask as compared to personal, family, social, occupational, and history questions; and this in turn affects the accuracy of the diagnoses…

Structural equation modeling has become increasingly popular as a technique for the analysis of non-experimental data in the social sciences. This increase can be traced in part to the development of computer programs that facilitate structural equation modeling. The Linear Structural Relations (LISREL) program is the most widely used tool for…

This study used structural equation modeling and multilevel modeling approaches for purposes of simultaneous study of individual and group change patterns on three waves of two longitudinally assessed domains. This study illustrates a few of the dual approaches to the analysis of covariance structures as they relate to the same individual growth…

Structural equation modeling (SEM) attempts to remove the negative influence of measurement error and allows for investigation of relationships at the level of the underlying constructs of interest. SEM has been regarded as a "large sample" technique since its inception. Recent developments in SEM, some of which are currently available…

Considers an approach to validating the selection of education indicators by incorporating them into a multilevel structural model and using the estimates from that model in policy-relevant simulations. The potential of this approach is demonstrated with data from the National Education Longitudinal Study of 1988. (SLD)

An earlier bibliography of nearly 300 technical publications about latent variable models is updated to acknowledge the growth of more specialized refinements of structural equation modeling. An additional 320 publications are annotated within a nine-part categorization system designed to group works roughly by topic. (SLD)

Structural equation modeling evaluated the contribution of phonological, orthographic, morphological, and oral vocabulary factors to word reading, spelling, and reading comprehension outcomes in at risk 2nd and 4th graders. For 2nd-grade children, morphology contributed uniquely to reading comprehension, and oral vocabulary and orthography…

Investigates the mediating effect of learner self-concept between conceptions of learning and students' approaches to learning using structural equation modeling. Results indicate that learner self-concept does mediate between conceptions of meaning and approaches to learning. Implications for teachers are discussed, with consideration given to…

A model based on latent trait theory, with maximum likelihood parameter estimates and associated asymptotic tests, is presented. Latent curve analysis is a method for representing development and is an alternative to repeated measures analysis of variance and first-order auto-regressive models. (SLD)