Background: Research indicates that achievement goals influence cognitive engagement, which, in turn, influences academic achievement. We believe that there are other individual difference variables in the realm of personal epistemology that may also directly or indirectly influence cognitive engagement; specifically, epistemological beliefs and…

Background: This study seeks to identify the cornerstones of personal bests (PBs) in the educational setting. Aims: The study proposes a multidimensional PB model in which students are most likely to attain PBs on tasks/goals that are (1) specific, (2) challenging, (3) competitively self-referenced, and (4) self-improvement based. Sample: The…

Instructional designers need to understand the internal processes of learning, identify learners' cognitive difficulties with those processes, and create strategies to help learners overcome those difficulties. Generative learning theory, one conception of human learning about cognitive functioning and process, emphasizes that meaningful learning…

The current study examined important predictors of substance use during early adolescence. The authors hypothesized that adolescents' relationships with key adults (i.e., teachers and parents) influence their choices to use substances indirectly through links with their decisions regarding peer groups. A total of 461 middle school students from an…

Validity data are presented for a new measure of threat appraisals in response to community violence. Adolescents (N = 358; 45% male; 91% African American, M = 12.10 years, SD = 1.63) and their maternal caregivers participated in two waves of a longitudinal interview study focused on the consequences of exposure to community violence. Structural…

Background: There is uncertainty about the extent to which mildly sub-optimal perinatal characteristics among individuals born near-term (greater than 33 weeks of gestation) are associated with various subsequent childhood problems, including antisocial behavior. There is even more uncertainty about whether the pathway to antisocial behavior…

A Monte Carlo study was conducted to assess the effects of some potential confounding factors on structural equation modeling (SEM) fit indices and parameter estimates for both true and misspecified models. The factors investigated were data nonnormality, SEM estimation method, and sample size. Based on the fully crossed and balanced 3x3x4x2…

This study was conducted to investigate the dimensionality of language tests by means of latent variable models for categorical data. It differs from previous studies by conducting the analysis at the level of the original items using the structural modeling approach of B. Muthen (1984) for dichotomous and ordered polytomous variables. In this…

Basic philosophical and statistical issues in structural equation modeling (SEM) are reviewed, including model conceptualization, identification, and parameter estimation and data-model-fit assessment and model modification. These issues should be addressed before the researcher uses any of the new generation of SEM software. (SLD)

The distribution of technical and substantive structural equation modeling (SEM) articles published in psychological journals from 1987 to 1994 was studied through inspection of more than 1,050 abstracts in the "PsycLIT" system. There has been a clear increase in the number of journals and the number of substantive SEM articles. (SLD)

Data on academic self-concept, school grades, and teacher ratings of achievement were collected from 603 students for three high school subjects in each of three years. Structural equation models show reciprocal effects for prior achievement and academic self-concept for all subjects. Effects were largest for mathematics. (SLD)

A computationally efficient three-stage estimator of thresholds and covariance structure parameters is prepared for analysis of structural equation models with polytomous variables. The method is based on partition maximum likelihood and generalized least squares estimation. An analysis of questionnaire responses of 739 young adults illustrates…

Using an approach to the analysis of missing data, this study investigated developmental trends in alcohol, marijuana, and cigarette use among 750 adolescents across 5 years using multiple-group latent growth modeling. Latent variable structural equation modeling and missing data approaches to studying developmental change are explored. (SLD)

A study at the University of Tennessee Knoxville used mixed-effect structural equation models incorporating latent variables as an alternative to conventional methods of analyzing college students' (n=722) first-year-to-senior academic gains. Results indicate, contrary to previous analysis, that coursework and student characteristics interact to…

A two-stage approach based on the rationale of maximum likelihood and generalized least-squares methods is developed to analyze the general structural equation model for continuous and polytomous variables. Some illustrative examples and a small simulation study (50 replications) are reported. (SLD)