Modeling item responses under different frameworks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F23%3A00580478" target="_blank" >RIV/67985807:_____/23:00580478 - isvavai.cz</a>
Result on the web
<a href="https://eam2023.ugent.be/images/eam2023_abstracts_book.pdf" target="_blank" >https://eam2023.ugent.be/images/eam2023_abstracts_book.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Modeling item responses under different frameworks
Original language description
ZÁKLADNÍ ÚDAJE: The 10th European Congress of Methodology (EAM2023) Book of Abstracts. Ghent: Ghent University, 2023. s. 230-230. [EAM2023: European Congress of Methodology /10./. 11.07.2023-13.07.2023, Ghent]. ABSTRACT: Item responses may be modeled in the factor analytic framework as well as in the framework of generalized linear and nonlinear mixed-effect models (also referred as item response theory, IRT). In this work, we first discuss the relationships between the two frameworks and advantages of each of them. We then focus on the latter one, and describe a step-by-step development of IRT models via empirical characteristic curves and generalized linear and nonlinear models (GLNM), while emphasizing the didactic value of such an approach (Martinková & Hladká, 2023). We outline possible further uses of GLNM in testing criterion-related item validity and we demonstrate them with real data examples. Finally, we present some novel approaches to parameter estimation in the GLNM framework and discuss their challenges in practical implementation. Martinková, P., & Hladká, A. (2023) Computational Aspects of Psychometric Methods. With R. Chapman and Hall/CRC (In Press). ISBN 9780367515386.
Czech name
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Czech description
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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

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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