We examined anger rumination and sadness rumination in clinic-referred adolescents (N = 121). Factor analysis indicated that items from analogous anger and sadness rumination measures loaded onto 2 factors tapping anger rumination and sadness rumination, respectively. Structural equation modeling confirmed unique relations between each form of…

This study examines how social and motivational attributes may influence students' online learning experiences. Based on a review of social theories of learning and research about individual characteristics associated with motivation four constructs were included: social ability, learning goal orientation, perceived task value, and self-efficacy.…

Benefits and limitations of structural equation models for multivariate experiments with incomplete data are presented. Examples from studies of latent variable path models of cognitive performance illustrate analyses with latent variables, omitted variables, randomly missing data, and nonrandomly missing data. (SLD)

Demonstrates how perspectives from covariance structural modeling and generalizability theory can be combined for a comprehensive assessment of latent constructs. This approach to examining variance components is illustrated by one- and two- facet designs, and can be extended to more complex designs. (MAK)

Demonstrates empirically a structural equation modeling technique for group comparison of reliability and validity. Data, which are from a study of 495 mothers' attitudes toward pregnancy, have a one-factor measurement model and three sets of subpopulation comparisons. (SLD)

The Group Engagement Measure (GEM) assesses a commonly used, but rarely measured, process in group work. Earlier studies examined the reliability and validity of the GEM, but none empirically examined its factor structure. The authors examined the seven-factor, 37-item structure of the GEM, using confirmatory factor analysis involving a combined…

Two methods, direct maximum likelihood (ML) and the expectation maximization (EM) algorithm, can be used to obtain ML parameter estimates for structural equation models with missing data (MD). Although the 2 methods frequently produce identical parameter estimates, it may be easier to satisfy missing at random assumptions using EM. However, no…

The Programme for International Student Assessment comparative study of reading performance among 15-year-olds is reanalyzed using statistical procedures that allow the full complexity of the data structures to be explored. The article extends existing multilevel factor analysis and structural equation models and shows how this can extract richer…

This study described an explicit multidimensional scaling (MDS) model for profile data, the Profile Analysis via Multidimensional Scaling (PAMS) model. It also illustrated the application of this model to the study of the structure of cognitive ability patterns using the Woodcock-Johnson Psychoeducational Battery-Revised (WJPB-R; 1989; 1991) and…

Argues that data on siblings provide a way to account for the impact of unmeasured, omitted variables on relationships of interest because families form a sort of natural experiment, with similar experiences and common genetic heritage. Proposes a latent-variable structural equation approach to the problem, which provides estimates of both within-…

The primary purpose of this study was to test for the validity of a Chinese version of the Beck Depression Inventory-II (C-BDI-II) for use with Hong Kong community (i.e., nonclinical) adolescents. Based on a randomized triadic split of the data (N = 1460), we conducted exploratory factor analysis on Group1 (n = 486) and confirmatory factor…

This study examined factors affecting motivation for reading, writing, and spelling in primary grade students using a new measure, the Early Literacy Motivation Survey (ELMS). First-graders (198) responded to questions measuring attributions, self-efficacy, and perceived competence. The ELMS uses scenarios and short tasks to contextualize the…

Psychological well-being in adolescence is an increasing field of study. Deepening in its knowledge during this period of life can be of a lot of help to the designing of more adjusted prevention programs aimed to avoid or reduce the problems adolescents might be experiencing. Complexity theories can be a productive alternative to the important…

The Goals, Attitudes and Values in School (GAVIS) questionnaire was developed on the basis of theoretical frameworks concerning learning environments, universal human values and studies of students' experience of learning environments. The theory hypothesises that learning environments can be described and structured in a circumplex model using…

Purpose: This study explored the perceptions of teachers regarding principal support for and understanding of effective writing instruction and whether certain areas of knowledge influence principals' actions and interventions. Research Design: Researchers surveyed teacher participants using the Principal's Support for Writing Instrument and also…