This book provides a uniquely accessible introduction to multilevel modeling, a powerful tool for analyzing relationships between an individual level dependent variable, such as student reading achievement, and individual-level and contextual explanatory factors, such as gender and neighborhood quality. Helping readers build on the statistical…

Following suggestions from prior research, this 2-wave longitudinal study examined whether parental solicitation and control influenced adolescents' later perceptions of privacy invasion. Data from 307 Dutch adolescents were tested with structural equation modeling (SEM). Differences in adolescents' invasion perceptions were examined in terms of…

Consumer choice is a key concept in developmental disability intervention, but relatively little quantitative research has focused on the relationship between choice and quality of life. This study used data from Washington state's Division of Developmental Disabilities 2002 National Core Indicators study (Human Services Research Institute, 2001a,…

The relationship between structural equation modeling (SEM) and canonical correlation analysis (CCA) is illustrated. The representation of CCA in SEM may provide interpretive information not available from conventional CCA. Hierarchically, the relationship suggests that SEM is a more general analytic approach. (SLD)

Describes two strategies for assessing measures of practical fit and the goodness of fit from structural equation models. Focuses on linear structural relations (LISREL), chi-square fit index, practical fit indices, and hierarchical analyses. Includes empirical example of hierarchical model procedures used with practical and statistical indices to…

This article examines students from ethnic minorities and majorities with regard to the relationships between their social and academic integration and their quality of learning. A total of 523 students at four universities completed a questionnaire: analyses of variance were used to examine mean differences, and structural equation modelling…

The central aim of the present paper is to analyse the degree to which welfare problems accumulate over time and to what extent such an accumulation is related to class position and household formation. We utilize longitudinal data from the Swedish Survey of Living Conditions, following a panel that was first interviewed in 1979 and, thereafter,…

The purpose of this quantitative correlational research study was to investigate, describe, and measure factors influencing retention of nontraditional first and second year students at a university located in the Midwestern United States. Retention of adult students has become a major issue for many institutions of higher education and many…

This paper examines the estimation of two-stage clustered RCT designs in education research using the Neyman causal inference framework that underlies experiments. The key distinction between the considered causal models is whether potential treatment and control group outcomes are considered to be fixed for the study population (the…

Extensions of latent state-trait models for continuous observed variables to mixture latent state-trait models with and without covariates of change are presented that can separate individuals differing in their occasion-specific variability. An empirical application to the repeated measurement of mood states (N = 501) revealed that a model with 2…

The purpose was to examine psychosocial factors that influence the physical activity behaviors of adults with brain injuries. Two differing models, based on Harter's model of self-worth, were proposed to examine the relationship between perceived competence, social support, physical self-worth, affect, and motivation. Adults numbering 384 with…

Amongst adults, low emotion identification skill (EIS) relates to poor emotion regulation strategies, higher rates of anxiety and depression, and higher rates of somatic illness and disease [Taylor, G. J., & Bagby, R. M. (2004). New trends in alexithymia research. "Psychotherapy and Psychosomatics", 73, 68-77]. Little research has examined EIS in…

SOLAS is a general-purpose program for univariate statistical analysis with the ability to perform multiple imputation (MI) for dealing with missing data. Several completed data sets can be obtained and analyzed separately, and results can be combined so that extra variability due to missing data is taken into account. (SLD)

A method for estimation of reliability for multiple-component measuring instruments with clustered data is outlined. The approach is applicable with hierarchical designs where individuals are nested within higher order units and exhibit possibly related performance on components of a scale of interest. The procedure is developed within the…

The authors investigated 2 issues concerning the power of latent growth modeling (LGM) in detecting linear growth: the effect of the number of repeated measurements on LGM's power in detecting linear growth and the comparison between LGM and some other approaches in terms of power for detecting linear growth. A Monte Carlo simulation design was…