Latent class analysis is a probabilistic modeling algorithm that allows clustering of data and
statistical inference. There has been a recent upsurge in the application of latent class …

Scale development and validation are critical to much of the work in the health, social, and
behavioral sciences. However, the constellation of techniques required for scale …

Parenting stress and child psychopathology are closely linked in parent-child dyads, but
how the bidirectional association varies across childhood and adolescence, and shifts …

The COVID-19 pandemic propelled many employees into remote work arrangements, and
face-to-face meetings were quickly replaced with virtual meetings. This rapid uptick in the …

The COVID-19 pandemic has considerably impacted many people's lives. This study
examined changes in subjective wellbeing between December 2019 and May 2020 and …

As a result of the COVID-19 pandemic, many faculty members were required to abruptly shift
from face-to-face to online teaching. Within this, some instructors managed well, while others …

The role of two leadership factors (autonomy-supportive and autonomy-thwarting
leadership) and one personal resource (workplace buoyancy) were examined as predictors …

Social media have become increasingly integrated into the daily lives of adolescents. There
are concerns about the potential detrimental effects of adolescents' social media use (SMU) …

This article compares two missing data procedures, full information maximum likelihood
(FIML) and multiple imputation (MI), to investigate their relative performances in relation to …

MplusAutomation is a package for R that facilitates complex latent variable analyses in M
plus involving comparisons among many models and parameters. More specifically …