Delays in language are a hallmark feature of Autism Spectrum Disorder (ASD). However,
little is known about the predictive role of language developmental trajectories on ASD. The …

In latent growth curve modeling (LGCM), overall fit indices have garnered increased
disputation for model selection, and model fit evaluation based on the mean structure has …

Background Suicide and homicide have long been viewed in Western culture as moral,
ethical and legal equivalents. This view has underpinned many theoretical and empirical …

The random moderation model (RMM) was developed based on a two-level regression
model to cope with heteroscedasticity in moderation analysis, and normal-distributed-based …

A novel algorithmic modeling method is proposed to determine dissimilarities between
subjects for longitudinal data clustering using natural cubic smoothing splines. Although …

Growth mixture models are regularly applied in the behavioral and social sciences to identify
unknown heterogeneous subpopulations that follow distinct developmental trajectories …

In accordance with the theme of this special issue, we present a model that indirectly
discovers symmetries and asymmetries between past and present assessments within …

Previous simulation studies on the non-normal GMM are very limited with respect to
examining effects of a high degree of class imbalance. To extend previous studies, the …

Multi-group growth curve models in which the factor structure varies across classes can be
used as the basis for growth mixture models. This paper considers a variety of growth curve …

To construct a model for predicting recidivism in violence in community-based schizophrenia
spectrum disorder patients (SSDP) by adopting a joint modeling method. Methods Based on …