This study aims to estimate the latent interaction effect in the CLPM model through a two-step multiple imputation analysis. The estimation of within x within and between x within latent interaction under the CLPM model framework is compared between the one-step Bayesian LMS method and the two-step multiple imputation analysis through a simulation…

Longitudinal research is often interested in identifying correlates of heterogeneity in change. This paper compares three approaches for doing so: the mixed-effects model (latent growth curve model), the growth mixture model, and structural equation model trees. Each method is described, with special focus given to how each structures…

Growth mixture models (GMMs) are prevalent for modeling unknown population heterogeneity via distinct latent classes. However, GMMs are riddled with convergence issues, often requiring researchers to atheoretically alter the model with cross-class constraints to obtain convergence. We discuss how within-class random effects in GMMs exacerbate…

Latent difference score (LDS) models combine benefits derived from autoregressive and latent growth curve models allowing for time-dependent influences and systematic change. The specification and descriptions of LDS models include an initial level of ability or trait plus an accumulation of changes. A limitation of this specification is that the…

Over half of the children in the U.S. experience adversity early in childhood. These experiences, along with conditions in their families and neighborhoods, have profound developmental effects. The bioecological model of development includes these proximal contexts in a theory of development that incorporates the threats and supports present in…

The paper develops a two-stage robust procedure for structural equation modeling (SEM) and an R package "rsem" to facilitate the use of the procedure by applied researchers. In the first stage, M-estimates of the saturated mean vector and covariance matrix of all variables are obtained. Those corresponding to the substantive variables…

The purpose of this study was to investigate the mediation effects of children's cognitive and noncognitive traits on the relationship between dropout mothers' traits and their children's educational expectations and to examine the interaction effects of dropout mothers' General Education Development (GED) on children's traits and educational…

Personal religiosity has been identified as a protective factor against juvenile delinquency. However, the influence of familial religiosity on delinquent behavior is less known. This study addresses this gap by investigating how family participation in organizational religious activities is related to delinquent involvement in early adolescence.…

While previous research has examined the school-to-work transition of noncollege-bound youth, most have considered how a limited set of variables relate to job attainment at a single point in time. This exploratory study extended beyond the identification of constructs associated with obtaining a job to investigate how several factors, collected…

To understand one developmental process, it is often helpful to investigate its relations with other developmental processes. Statistical methods that model development in multiple processes simultaneously over time include latent growth curve models with time-varying covariates, multivariate latent growth curve models, and dual trajectory models.…

Despite the widespread popularity of growth curve analysis, few studies have investigated robust growth curve models. In this article, the "t" distribution is applied to model heavy-tailed data and contaminated normal data with outliers for growth curve analysis. The derived robust growth curve models are estimated through Bayesian…

Several alternatives are available for specifying the residual structure in latent growth curve modeling. Two specifications involve uncorrelated residuals and represent the most commonly used residual structures. The first, building on repeated measures analysis of variance and common specifications in multilevel models, forces residual variances…

Research examining the influence of social relationships on child outcomes has seldom examined how individuals derive social capital from more than one context and the extent to which they may benefit from the capital derived from each. We address this deficit through a study of child behavior problems. We hypothesize that children derive social…

A linear latent growth curve mixture model is presented which includes switching between growth curves. Switching is accommodated by means of a Markov transition model. The model is formulated with switching as a highly constrained multivariate mixture model and is fitted using the freely available Mx program. The model is illustrated by analyzing…

This study seeks to assess the impact of maternal psychological well-being on the depression and anxiety levels and social withdrawal in a sample of young African American and Caucasian adolescents between the ages of 10 and 14 (N = 854) using data from the National Longitudinal Survey of Youth 1979 child sample. Analyses using structural equation…