The youth mental health crisis is exacerbated by limited access to care and resources.
Mobile health (mHealth) platforms using predictive artificial intelligence (AI) can improve …

An important task in building regression models is to decide which regressors should be
included in the final model. In a Bayesian approach, variable selection can be performed …

A comprehensive source on mixed data analysis, Analysis of Mixed Data: Methods &
Applications summarizes the fundamental developments in the field. Case studies are used …

Traffic crashes occurring on rural roadways induce more severe injuries and fatalities than
those in urban areas, especially when there are trucks involved. Truck drivers are found to …

Mixed-effects models are becoming common in psychological science. Although they have
many desirable features, there is still untapped potential. It is customary to view …

Objective The purpose of this study was to chart changes in self‐esteem before and after
marital dissolution to identify the factors that shape individuals' self‐esteem during this life …

Measurement reliability is a fundamental concept in psychology. It is traditionally considered
a stable property of a questionnaire, measurement device, or experimental task. Although …

We consider Bayesian inference for regression models of count data subject to
underreporting. For the data generating process of counts as well as the fallible reporting …

In 2019 we wrote an article (Tendeiro & Kiers, 2019) in Psychological Methods over null
hypothesis Bayesian testing and its working horse, the Bayes factor. Recently, van …

Conceptualized as a meta‐construct, operations‐related structural flux (ORSF) refers to
appointments and exits—voluntary or involuntary—of operations‐related executives, to and …