This paper is a systematic review of the methodology for person fit research targeted
specifically at methodologists in training. I analyze the ways in which researchers in the area …

This is a title in our Understanding Statistics series, which is designed to provide
researchers with authoritative guides to understanding, presenting and critiquing analyses …

The relative performance of the maximum likelihood (ML) and weighted least square mean
and variance adjusted (WLSMV) estimators was investigated by studying differential item …

There has been growing interest in the use of multidimensional forced-choice (MFC)
measures in industrial and organizational psychology. However, despite the growing …

It is generally assumed that the latent trait is normally distributed in the population when
estimating logistic item response theory (IRT) model parameters. This assumption requires …

ABSTRACT A central assumption that is implicit in estimating item parameters in item
response theory (IRT) models is the normality of the latent trait distribution, whereas a similar …

Item response theory (IRT) has been increasingly utilized in psychiatry for the purpose of
describing the relationship among items in psychiatric disorder symptom batteries …

It is often unrealistic to assume normally distributed latent traits in the measurement of health
outcomes. If normality is violated, the item response theory (IRT) models that are used to …

Markov chain Monte Carlo (MCMC) has revolutionized modern statistical computing,
especially for complex Bayesian and latent variable models. A recent Web of Knowledge …

There is some debate in the psychometric literature about item parameter estimation in
multistage designs. It is occasionally argued that the conditional maximum likelihood (CML) …