Multistage tests are a widely used and efficient type of test presentation that aims to
provide accurate ability estimates while keeping the test relatively short. Multistage tests typically
rely on the psychometric framework of item response theory. Violations of item response models and
other assumptions underlying a multistage test, such as differential item functioning, can lead to
inaccurate ability estimates and unfair measurements. There is a practical need for methods to detect
problematic model violations to avoid these issues. This study compares and evaluates three methods
for the detection of differential item functioning with regard to continuous person covariates in data
from multistage tests: a linear logistic regression test and two adaptations of a recently proposed
score-based DIF test. While all tests show a satisfactory Type I error rate, the score-based tests show
greater power against three types of DIF effects.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:89171 |
| Date | 22 January 2024 |
| Creators | Debelak, Rudolf, Debeer, Dries |
| Publisher | MDPI |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:article, info:eu-repo/semantics/article, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
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