In this digital ITEMS module, Dr. Stella Kim provides an overview of multidimensional item response theory (MIRT) equating. Traditional unidimensional (IRT) equating methods impose the sometimes untenable restriction on data that only a single ability is assessed. This module discusses potential sources multidimensionality and presents consequences To remedy these effects, MIRT can be used as v...

The nonequivalent groups with anchor test (NEAT) equating design are traditionally based on using a single to adjust for differences in difficulty which is critical forms most large-scale testing programs. When tests differ somewhat content and length, methods the item response theory (IRT) model leads greater stability of results. current study compared standard errors, bias, root mean square ...

This paper examined various factors affecting linking accuracy of the augmented tests containing both common assessments and state-specific item sets in the context of the Common Core State Standards (CCSS). Linking was conducted using the common-item nonequivalent groups design with pseudo and simulated data. The factors included group ability differences, differential effect sizes, latent-tra...

BACKGROUND Item response theory (IRT) has been increasingly applied to patient-reported outcome (PRO) measures. The purpose of this study is to apply IRT to examine item properties (discrimination and severity of depressive symptoms), measurement precision and score comparability across five depression measures, which is the first study of its kind in the Chinese context. METHODS A clinical s...