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Detection of Differential Item Functioning with Non-Linear Regression: Non-IRT Approach Accounting for Guessing
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SYSNO ASEP 0459265 Druh ASEP V - Výzkumná zpráva Zařazení RIV Záznam nebyl označen do RIV Název Detection of Differential Item Functioning with Non-Linear Regression: Non-IRT Approach Accounting for Guessing Tvůrce(i) Drabinová, Adéla (UIVT-O) SAI, ORCID, RID
Martinková, Patrícia (UIVT-O) SAI, RID, ORCIDVyd. údaje Prague: ICS CAS, 2016 Edice Technical Report Č. sv. edice V-1229 Poč.str. 26 s. Jazyk dok. eng - angličtina Země vyd. CZ - Česká republika Klíč. slova differential item functioning ; non-linear regression ; logistic regression ; item response theory Vědní obor RIV BB - Aplikovaná statistika, operační výzkum CEP GJ15-15856Y GA ČR - Grantová agentura ČR Institucionální podpora UIVT-O - RVO:67985807 Anotace In this article, we present a new method for estimation of Item Response Function and for detection of uniform and non-uniform Differential Item Functioning (DIF) in dichotomous items based on Non-Linear Regression (NLR). Proposed method extends Logistic Regression (LR) procedure by including pseudoguessing parameter. NLR technique is compared to LR procedure and Lord’s and Raju’s statistics for three-parameter Item Response Theory (IRT) models in simulation study based on Graduate Management Admission Test. NLR shows superiority in power at low rejection rate over IRT methods and outperforms LR procedure in power for case of uniform DIF detection. Our research suggests that the newly proposed non-IRT procedure is an attractive and user friendly approach to DIF detection. Pracoviště Ústav informatiky Kontakt Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Rok sběru 2017
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