Computational aspects of modelling item responses

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F23%3A00580441" target="_blank" >RIV/67985807:_____/23:00580441 - isvavai.cz</a>

Result on the web

<a href="https://www.psychometricsociety.org/sites/main/files/file-attachments/imps2023-abstracts.pdf" target="_blank" >https://www.psychometricsociety.org/sites/main/files/file-attachments/imps2023-abstracts.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Computational aspects of modelling item responses

Original language description

ZÁKLADNÍ ÚDAJE: IMPS 2023: Abstract Book: Talks. Psychometric Society, 2023. s. 202-202. [IMPS 2023: International Meeting of the Psychometric Society. 23.07.2023-28.07.2023, Washington DC]. ABSTRAKT: Item response theory models can be derived in factor analytic framework as well as in the framework of generalized linear and nonlinear mixed-effect models. In this work, we focus on the latter one. We first describe step-by-step development of IRT models via empirical characteristic curves and generalized linear and nonlinear models (GLNM) with emphasis on didactic value of such approach. In addition to that, we discuss wide usage possibilities of GLNM in terms of criterion-related item validity and we demonstrate these aspects with real data examples. Finally, we present some novel approaches to parameter estimation in this framework together with their challenges in practical implementation.

Czech name

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Czech description

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Type

O - Miscellaneous

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

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