0580441 - ÚI 2024 RIV US eng A - Abstrakt
Martinková, Patrícia - Hladká, Adéla
Computational aspects of modelling item responses.
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]
Grant CEP: GA ČR(CZ) GA21-03658S
Institucionální podpora: RVO:67985807
Klíčová slova: item response theory * psychometrics * modelling item responses
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://www.psychometricsociety.org/sites/main/files/file-attachments/imps2023-abstracts.pdf

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.
Trvalý link: https://hdl.handle.net/11104/0349218