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�…

Latent profile analysis (LPA) is a person-centered method commonly used in organizational
research to identify homogeneous subpopulations of employees within a heterogeneous�…

The present guide provides a practical guide to conducting latent profile analysis (LPA) in
the Mplus software system. This guide is intended for researchers familiar with some latent�…

This chapter gives an applied introduction to latent profile and latent class analysis
(LPA/LCA). LPA/LCA are model-based methods for clustering individuals in unobserved�…

L atent class analysis (LCA) and latent profile analysis (LPA) are powerful techniques that
enable researchers to glean insights into “hidden” psychological experiences to create�…

Researchers are often interested in identifying homogeneous subgroups within
heterogeneous samples on the basis of a set of measures, such as profiles of individuals'�…

For various reasons, research on vocational behavior often has to rely on self-report
measures. Although it is well known that the exclusive use of self-report measures in a given�…

Despite the increased popularity of person-centered analyses, no comprehensive approach
exists to guide the systematic investigation of the similarity (or generalizability) of latent�…

Little research has examined factors influencing statistical power to detect the correct
number of latent classes using latent profile analysis (LPA). This simulation study examined�…

The vast majority of vocational research adopts a variable-centered approach. Implicit in this
approach is the assumption that the population under study is homogeneous, and that�…