Latent profile analysis (LPA) is a categorical latent variable approach that focuses on
identifying latent subpopulations within a population based on a certain set of variables. LPA …

Recent advances in text mining have provided new methods for capitalizing on the
voluminous natural language text data created by organizations, their employees, and their …

Employees around the world have experienced sudden, significant changes in their work
and family roles due to the COVID-19 pandemic. However, applied psychologists have …

Importance Cognitive impairment is a common and disabling feature of multiple sclerosis
(MS), but a precise characterization of cognitive phenotypes in patients with MS is lacking …

The goal of person-centered methods is to identify subpopulations of individuals based on
within-group similarity of data relative to between-group variability. In this article, we provide …

以个体为中心的研究路径将各个变量看作是相互依赖的一个系统, 基于多项特征(变量)
将被试分为多个子群体, 分析子群体的前因与影响. 以个体为中心的研究路径理解更加直观 …

Sustainable careers are comprised of work experiences across one's lifespan that also
intersect multiple life domains, notably: work, social, and family (Van der Heijden & De Vos …

Theory, methods, and data are inexorably intertwined in science. While it is tempting to think
that theory dictates what types of data are collected and how these data are analyzed, a …

The 2011 Organizational Research Methods Feature Topic on latent class procedures has
helped to establish person-centered analyses as a method of choice in the organizational …

For too long, organizational science has implicitly or explicitly endorsed job performance as
the ultimate criterion (or the bottom line for organizational performance). We propose that a …