Several methods used to examine differential item functioning (DIF) in Patient-Reported
Outcomes Measurement Information System (PROMIS®) measures are presented, including …

This paper presents an IRT-based statistical test for differential item functioning (DIF). The
test is developed for items conforming to the Rasch (Probabilistic models for some …

This article proposes a novel approach to detect differential item functioning (DIF) among
dichotomously scored items. Unlike standard DIF methods that perform an item-by-item …

Low test-taking effort as a validity threat is common when examinees perceive an
assessment context to have minimal personal value. Prior research has shown that in such …

Recent research provides evidence that an intersectional approach to defining reference
and focal groups results in a higher percentage of comparisons flagged for potential DIF …

Type I error rates in multiple regression, and hence the chance for false positive research
findings, can be drastically inflated when multiple regression models are used to analyze …

Rasch mixture models can be a useful tool when checking the assumption of measurement
invariance for a single Rasch model. They provide advantages compared to manifest …

Background When studying student performance across different countries or cultures, an
important aspect for comparisons is that of score comparability. In other words, it is …

This Monte Carlo study assessed Type I error in differential item functioning analyses using
Lord's chi-square (LC), Likelihood Ratio Test (LRT), and Mantel-Haenszel (MH) procedure …

In 2009, DeMars stated that when impact exists there will be Type I error inflation, especially
with larger sample sizes and larger discrimination parameters for items. One purpose of this …