Abstract Information criteria (ICs) based on penalized likelihood, such as Akaike's
information criterion (AIC), the Bayesian information criterion (BIC) and sample-size …

Latent Class Analysis and Finite Mixture Modeling | The Oxford Handbook of Quantitative
Methods in Psychology: Vol. 2Statistical Analysis | Oxford Academic Skip to Main Content …

Selecting the number of different classes that will be assumed to exist in the population is an
important step in latent class analysis (LCA). The bootstrap likelihood ratio test (BLRT) …

Item response theory (IRT) is a latent variable modeling approach used to minimize bias and
optimize the measurement power of educational and psychological tests and other …

The Reviewer's Guide to Quantitative Methods in the Social Sciences is designed for
evaluators of research manuscripts and proposals in the social and behavioral sciences …

The second edition features: a CD with all of the book's Amos, EQS, and LISREL programs
and data sets; new chapters on importing data issues related to data editing and on how to …

Abstract poLCA is a software package for the estimation of latent class and latent class
regression models for polytomous outcome variables, implemented in the R statistical …

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 …

OBJECTIVE: Behavioral inhibition (bi), a temperamental style identifiable in early childhood,
is considered a risk factor for the development of anxiety disorders, particularly social …

A Single Cohesive Framework of Tools and Procedures for Psychometrics and Assessment
Bayesian Psychometric Modeling presents a unified Bayesian approach across traditionally …