Highlights•Supervised machine learning is frequently used in psychology
research.•Machine learning offers advantages over traditional statistical analyses.•Theory …

Serious concerns about public distrust of scientific experts and the spread of misinformation
are growing in the US and elsewhere. To gauge ideological and psychological variability in …

In the current paper, we review existing tools for solving variable selection problems in
psychology. Modern regularization methods such as lasso regression have recently been …

Latino sexual minority men (LSMM) are affected by HIV and behavioral health disparities.
Evidence-based HIV-prevention and behavioral health (BH) services are not sufficiently …

Sensory processing differences measured by self-or parent-report co-segregate with
quantitative autistic traits and have potential endophenotypic properties. It is not known to …

Older sexual minorities (eg, gay, bisexual) living with HIV are at risk for poor HIV outcomes
due to their frequent experience with both psychosocial challenges and structural barriers to …

An important step in scale development and assessment is to evaluate differential item
functioning (DIF) across segments of the population. Recent approaches use lasso …

Differences in the psychological characteristics and gambling behaviors of sports bettors
and non-sports bettors were examined with a view to identifying predictors of problem …

Identifying significant predictors of behavioral outcomes is of great interest in many
psychological studies. Lasso regression, as an alternative to stepwise regression for …

In analyzing longitudinal data with growth curve models, a critical assumption is that
changes in the observed measures reflect construct changes and not changes in the …