The assumption of local independence is central to all item response theory (IRT) models.
Violations can lead to inflated estimates of reliability and problems with construct validity. For …

Handbook of Markov Chain Monte Carlo brings together the major advances that have
occurred in recent years while incorporating enough introductory material for new users of …

ABSTRACT Markov chain Monte Carlo (MCMC) algorithms are in wide use for fitting
complicated statistical models in psychometrics in situations where the traditional estimation …

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

Mixed models take the dependency between observations based on the same cluster into
account by introducing 1 or more random effects. Common item response theory (IRT) …

Open-ended or “constructed” student responses to test items have become a stock
component of standardized educational assessments. Digital imaging of examinee work …

Hospital profiling involves a comparison of a health care provider's structure, processes of
care, or outcomes to a standard, often in the form of a report card. Given the ubiquity of …

Markov chain Monte Carlo (MCMC) estimation strategies represent a powerful approach to
estimation in psychometric models. Popular MCMC samplers and their alignment with …

There is an increasing use of Markov chain Monte Carlo (MCMC) algorithms for fitting
statistical models in psychometrics, especially in situations where the traditional estimation …

Multidimensionality is a core concept in the measurement and analysis of psychological
data. In personality assessment, for example, constructs are mostly theoretically defined as …