Time series analysis of intensive longitudinal data provides the psychological literature with
a powerful tool for assessing how psychological processes evolve through time. Recent …

While emotion coherence has long been theorized to be a core feature of emotion, to date,
studies examining response coherence have been conducted in laboratory settings. The …

Background: The most effective strategy for managing cancer pain remotely should be better
defined. There is a need to identify those patients who require increased attention and …

The influx of intensive longitudinal data creates a pressing need for complex modeling tools
that help enrich our understanding of how individuals change over time. Multilevel vector …

Objective This study assessed the association between erectile dysfunction (ED) and
arthritis. Methods Weighted logistic regression and subgroup analyses were used to …

High quality data is essential in every field of research for valid research findings. The
presence of missing data in a dataset is common and occurs for a variety of reasons such as …

Mixture modeling is commonly used to model sample heterogeneity by identifying
unobserved classes of individuals with similar characteristics. Despite abundance of …

Several methodological innovations have been advanced in the past decades that combine
growth curve models (GCMs) with models of autoregressive (AR) processes. However, most …

Advances in digital technology have greatly increased the ease of collecting intensive
longitudinal data (ILD) such as ecological momentary assessments (EMAs) in studies of …

Objective: This study captured the interrelationships among craving, negative affect, and
positive and negative social exchanges in the daily lives of patients in residential treatment …