Researchers in behavioral sciences are often interested in longitudinal behavior change outcomes and the mechanisms that influence changes in these outcomes over time. The statistical models that are typically implemented to address these research questions do not allow for investigation of mechanisms of dynamic change over time. However, latent…

Research in human development often relies on composites, that is, composed variables such as indices. Their composite nature renders these variables inaccessible to conventional factor-centric psychometric validation techniques such as confirmatory factor analysis (CFA). In the context of human development research, there is currently no…

This research examines the performance of the previously proposed cutoff values of alternative fit indices (i.e., change in comparative fit index [(delta)CFI], change in Tucker-Lewis index [(delta)TLI], and change in root mean squared error of approximation [(delta)RMSEA]) to evaluate measurement invariance for exploratory structural equation…

Social anxiety is a common mental disorder with an average age of onset in early adolescence. Current theories focus largely on risk factors that are present from early in life, but reasons for onset of the disorder as youth move into adolescence are rarely discussed. We recently proposed a model of the onset of certain mental disorders during the…

The role of working memory (WM) in language acquisition has been widely reported in the developmental literature, but few studies have explored the role of sentence recall in the way WM and related linguistic abilities evolve. This study seeks to explore the organization and development of the memory architecture underlying language using a…

Hybrid autoregressive-latent growth structural equation models for longitudinal data represent a synthesis of the autoregressive and latent growth modeling frameworks. Although these models are conceptually powerful, in practice they may struggle to separate autoregressive and growth-related processes during estimation. This confounding of change…

The present article aims to show how to model longitudinal change in cohort sequential data applying latent true change models using Mplus' multi-group approach. The underlying modeling ideas are described and explained in this article. As an example, change in internalizing problem behaviors between the age of 8 and 13 years is modeled and…

School engagement involves cognitive, emotional, and behavioral components that overlap conceptually. This conceptual ambiguity has led to measures that have either consisted of one general factor or separate correlated factors. However, neither approach can sufficiently account for both the uniqueness and the overlap of the subcomponents. The…

Although research suggests an interplay between identity development and self-esteem, most studies focused on the role of identity commitment and measured only level of self-esteem. This study examined longitudinal associations between Berzonsky's (2011) styles of identity exploration and two distinct features of self-esteem: level of self-esteem…

This article demonstrates the use of structural equation modeling to develop norms for a translated version of a standardized scale, the Supports Intensity Scale-Children's Version (SIS-C). The latent variable norming method proposed is useful when the standardization sample for a translated version is relatively small to derive norms…

The concept of bidirectionality represents a process of mutual influence between parent and child, whereby each influences the other as well as the dyadic relationship. Despite the widespread acceptance of bidirectional models of influence, there is still a lack of integration of such models in current research designs. Research on…

Lifespan theoretical notions have long acknowledged that regulative capacities of the self are relatively robust well into old age. This general trend notwithstanding, people often differ substantially throughout life in their levels of and change trajectories in self-esteem. One prime contributing factor may be perceptions of social inclusion.…

How parents and adolescents perceive each other's life values is a key to understanding successful value transmission. In the value socializations literature, it has been proposed that parents' values become internalized when children correctly perceive their parents' values and decide to adopt them as their own. In the current study, we propose…

Structural equation modeling (SEM) is a powerful and flexible analytic tool to model latent constructs and their relations with observed variables and other constructs. SEM applications offer advantages over classical models in dealing with statistical assumptions and in adjusting for measurement error. So far, however, SEM has not been fully used…

Researchers often collect longitudinal data to model change over time in a phenomenon of interest. Inevitably, there will be some variation across individuals in specific time intervals between assessments. In this simulation study of growth curve modeling, we investigate how ignoring individual differences in time points when modeling change over…