Vocational education and training (VET) programs are typically regarded as the means to
enable successful school-to-work transitions. However, high rates of premature contract …

Bifactor models are increasingly being utilized to study latent constructs such as
psychopathology and cognition, which change over the lifespan. Although longitudinal …

Objective. This study focuses on the identification of risk factors, classification of stroke level,
and evaluation of the importance and interactions of various patient characteristics using …

Adequately addressing missing data is a pervasive issue in the social sciences. Failure to
correctly address missing data can lead to biased or inefficient estimation of parameters …

Summary Background Children with Autism Spectrum Disorder (ASD) and Attention‐
Deficit/Hyperactivity Disorder (ADHD) have an increased obesity risk. Although these …

Rationale Community gun violence exposure significantly shapes public health outcomes.
Understanding how gun violence is associated with community health outcomes like mental …

Assessment of treatment response in psychotherapies can be undermined by lack of
longitudinal measurement invariance (LMI) in symptom self-report inventories, by …

Likelihood ratio tests (LRTs) are a popular tool for comparing statistical models. However,
missing data are also common in empirical research, and multiple imputation (MI) is often …

Assessment of acculturation attitudes usually has focused on the importance of two
dimensions: first, immigrants' maintenance of cultural heritage and, second, immigrants' …

The disease burden of depression among older populations is high. Detecting changes in
late-life depression is predicated on the seldom-examined assumption of longitudinal …