Modeling Retest Effects in Developmental Processes Using Latent Change Score Models

Studying development processes, as they unfold over time, involves collecting repeated measures from individuals and modeling the changes time. One methodological challenge in this type of longitudinal data is separating retest effects, due to assessments, developmental processes such maturation or age. In article, we describe several specifications latent change score models using age underlying time metric include parameters account for effects. We illustrate with on fluid reasoning collected children adolescents a cohort-sequential design ranging 6 20 years. Our alternative approaches specify effects at structural measurement level model, an observed covariate. discuss benefits limitations different univariate multivariate context studying processes.