In small sample contexts, Bayesian estimation is often suggested as a viable alternative to
frequentist estimation, such as maximum likelihood estimation. Our systematic literature …

In this article we provide an overview of existing approaches for relating latent class
membership to external variables of interest. We extend on the work of Nylund‐Gibson et …

Recently, several bias-adjusted stepwise approaches to latent class modeling with
continuous distal outcomes have been proposed in the literature and implemented in …

In structural equation modeling (SEM), the measurement and structural parts of the model
are usually estimated simultaneously. In this article, we revisit the long-standing idea that we …

Latent GOLD 5.1 Basic implements the most important types of latent class (LC) and finite
mixture (FM) models in three submodules called Cluster, DFactor, and Regression. It also …

Researchers often have difficulties collecting enough data to test their hypotheses, either
because target groups are small or hard to access, or because data collection entails …

This series of simulation studies was designed to assess the impact of misspecifications of
the latent variance–covariance matrix (ie,) and residual structure (ie,) on the accuracy of …

Structural equation modeling (SEM) is a statistical modeling procedure that is used in the
social and behavioral sciences to study the relationships among latent variables (Bollen …

Person-centered analyses and mixture models, such as latent profile analyses (LPA), are
becoming increasingly common in the organizational literature. However, common usage of …

The practice of latent class (LC) modeling using a bias-adjusted three-step approach has
become widely popular. However, the current three-step approach has one important …