Detection of Differential Item Functioning with Nonlinear Regression: A Non-IRT Approach Accounting for Guessing
The result's identifiers
Result code in 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>
Alternative codes found
RIV/00216208:11410/17:10366088 RIV/00216208:11320/17:10366088
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Detection of Differential Item Functioning with Nonlinear Regression: A Non-IRT Approach Accounting for Guessing
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
<a href="/en/project/GJ15-15856Y" target="_blank" >GJ15-15856Y: Estimation of psychometric measures as part of admission test development</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Educational Measurement
ISSN
0022-0655
e-ISSN
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Volume of the periodical
54
Issue of the periodical within the volume
4
Country of publishing house
US - UNITED STATES
Number of pages
20
Pages from-to
498-517
UT code for WoS article
000416914500005
EID of the result in the Scopus database
2-s2.0-85036507620