Revisiting parametrizations for the nominal response model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F22%3A00570010" target="_blank" >RIV/67985807:_____/22:00570010 - isvavai.cz</a>
Result on the web
<a href="https://www.psychometricsociety.org/sites/main/files/file-attachments/imps2022-version-7-abstract.pdf?1656714871" target="_blank" >https://www.psychometricsociety.org/sites/main/files/file-attachments/imps2022-version-7-abstract.pdf?1656714871</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Revisiting parametrizations for the nominal response model
Original language description
ZÁKLADNÍ ÚDAJE: IMPS 2022 International Meeting of the Psychometric Society. Book of Abstracts (Talks, Posters). Bologna: Psychometric Society, 2022. s. 206-206. [IMPS 2022. International Meeting of the Psychometric Society. 11.07.2022-15.07.2022, Bologna] ABSTRAKT: In this work, we revisit the existing parametrizations of the Nominal Response Model (NRM). We consider two parametrizations of NRM directly linked to the baseline-category logit (BL) nature of the model and using the information on correct answer in multiple-choice items: the BL intercept-slope (BL-IS) parametrization, and BL parametrization using a discrimination and difficulty parameters as is usual in the item response theory models (BL-IRT). An advantage of the BL-IRT parametrization is the graphical interpretation of the model parameters while BL-IS is more often encountered in the GLM framework. We hypothesize that the proposed parametrization accounting for the information on correct answer, and the related setup of starting values, may lead to numerically more precise results and less convergence issues. The relationship between the Bock’s, Thissen et al.’s, and two newly considered parametrizations is explained and illustrated on practical examples
Czech name
—
Czech description
—
Classification
Type
O - Miscellaneous
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
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
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů