Detection of Differential Item Functioning with difNLR Package
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F18%3A00492638" target="_blank" >RIV/67985807:_____/18:00492638 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Detection of Differential Item Functioning with difNLR Package
Original language description
ZÁKLADNÍ ÚDAJE: IMPS 2018: Abstracts Book - Talks. New York City: Columbia University, 2018. s. 42-42. [IMPS 2018: International Meeting of Psychometric Society. 09.07.2018-13.07.2018, New York City]. GRANT CEP: GA ČR GJ15-15856Y. ABSTRAKT: The R package difNLR (Drabinová, Martinková & Zvára, 2018) has been developed for detection of Differential Item Functioning (DIF), based on extensions of logistic regression model. These include guessing and non‐attention parameters which can differ for different groups. For dichotomous data, eleven predefined models have been implemented, however, user can constraint some parameters to be the same for different groups and hence create wide range of models that can be seen as proxies for item response theory models. The difNLR package offers various methods for estimation of parameters and DIF detection procedure. It also covers procedures in DIF identification such as item purification or corrections for multiple comparisons. Moreover, simulation studies suggest good properties even in smaller samples (Drabinová & Martinková, 2017), and thus the family of models offered by the difNLR library seems to be promising in DIF detection.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
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
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů