## What’s the best way to determine the number of latent classes in a finite mixture analysis?

Selecting the number of classes (or components) is one of the most challenging decisions to make when fitting a finite mixture model (including latent…

Selecting the number of classes (or components) is one of the most challenging decisions to make when fitting a finite mixture model (including latent…

We explain the difference between principal components analysis and exploratory factor analysis

Received the cryptic warning message "G matrix is non-positive definite"? Learn what this means and what to do about it.

Why between-group effects estimating in MLMs are sometimes biased, and what to do about it

How to specify multilevel models to obtain within- and between-group effects through centering lower-level predictors.

An equivalent model can be thought of as a re-parameterization of the original model. In other words, it is just a different way of “packaging” th…

Missing data are a common problem faced by nearly all data analysts, particularly with the increasing emphasis on the collection of repeated assessments over time.…

The issue of reliability can be a complex and often misunderstood issue. Entire text books have been written about reliability, validity, and scale construction, so…

This is a question that often arises when using structural equation models in practice, sometimes once a study is completed but more often in the…

This is a great question and is one that prompts much disagreement among quantitative methodologists. Nearly all confirmatory factor analysis or structural equation models impose…