Detection of Differential Item Functioning with Nonlinear Regression: A Non-IRT Approach Accounting for Guessing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F17%3A00477049" target="_blank" >RIV/67985807:_____/17:00477049 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11410/17:10366088 RIV/00216208:11320/17:10366088

Výsledek na webu

<a href="http://dx.doi.org/10.1111/jedm.12158" target="_blank" >http://dx.doi.org/10.1111/jedm.12158</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/jedm.12158" target="_blank" >10.1111/jedm.12158</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Detection of Differential Item Functioning with Nonlinear Regression: A Non-IRT Approach Accounting for Guessing

Popis výsledku v původním jazyce

In this article we present a general approach not relying on item response theory models (non-IRT) to detect differential item functioning (DIF) in dichotomous items with presence of guessing. The proposed nonlinear regression (NLR) procedure for DIF detection is an extension of method based on logistic regression. As a non-IRT approach, NLR can be seen as a proxy of detection based on the three-parameter IRT model which is a standard tool in the study field. Hence, NLR fills a logical gap in DIF detection methodology and as such is important for educational purposes. Moreover, the advantages of the NLR procedure as well as comparison to other commonly used methods are demonstrated in a simulation study. A real data analysis is offered to demonstrate practical use of the method.

Název v anglickém jazyce

Detection of Differential Item Functioning with Nonlinear Regression: A Non-IRT Approach Accounting for Guessing

Popis výsledku anglicky

In this article we present a general approach not relying on item response theory models (non-IRT) to detect differential item functioning (DIF) in dichotomous items with presence of guessing. The proposed nonlinear regression (NLR) procedure for DIF detection is an extension of method based on logistic regression. As a non-IRT approach, NLR can be seen as a proxy of detection based on the three-parameter IRT model which is a standard tool in the study field. Hence, NLR fills a logical gap in DIF detection methodology and as such is important for educational purposes. Moreover, the advantages of the NLR procedure as well as comparison to other commonly used methods are demonstrated in a simulation study. A real data analysis is offered to demonstrate practical use of the method.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10103 - Statistics and probability

Projekt

<a href="/cs/project/GJ15-15856Y" target="_blank" >GJ15-15856Y: Odhad psychometrických vlastností jako součást vývoje přijímacích testů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Educational Measurement

ISSN

0022-0655

e-ISSN

—

Svazek periodika

54

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

20

Strana od-do

498-517

Kód UT WoS článku

000416914500005

EID výsledku v databázi Scopus

2-s2.0-85036507620