Combining Item Purification and Multiple Comparison Adjustment Methods in Detection of Differential Item Functioning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F24%3A00572469" target="_blank" >RIV/67985807:_____/24:00572469 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/24:10464627 RIV/00216208:11410/24:10464627
Result on the web
<a href="https://dx.doi.org/10.1080/00273171.2023.2205393" target="_blank" >https://dx.doi.org/10.1080/00273171.2023.2205393</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/00273171.2023.2205393" target="_blank" >10.1080/00273171.2023.2205393</a>
Alternative languages
Result language
angličtina
Original language name
Combining Item Purification and Multiple Comparison Adjustment Methods in Detection of Differential Item Functioning
Original language description
Many of the differential item functioning (DIF) detection methods rely on a principle of testing for DIF item by item, while considering the rest of the items or at least some of them being DIF-free. Computational algorithms of these DIF detection methods involve the selection of DIF-free items in an iterative procedure called item purification. Another aspect is the need to correct for multiple comparisons, which can be done with a number of existing multiple comparison adjustment methods. In this article, we demonstrate that implementation of these two controlling procedures together may have an impact on which items are detected as DIF items. We propose an iterative algorithm combining item purification and adjustment for multiple comparisons. Pleasant properties of the newly proposed algorithm are shown with a simulation study. The method is demonstrated on a real data example.
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
—
OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
<a href="/en/project/GA21-03658S" target="_blank" >GA21-03658S: Theoretical foundations of computational psychometrics</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Multivariate Behavioral Research
ISSN
0027-3171
e-ISSN
1532-7906
Volume of the periodical
59
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
16
Pages from-to
46-61
UT code for WoS article
000993582400001
EID of the result in the Scopus database
2-s2.0-85160094540