Item difficulty prediction using computational psychometrics and linguistic algorithms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F22%3A00570048" target="_blank" >RIV/67985807:_____/22:00570048 - 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
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Alternative languages
Result language
angličtina
Original language name
Item difficulty prediction using computational psychometrics and linguistic algorithms
Original language description
ZÁKLADNÍ ÚDAJE: IMPS 2022 International Meeting of the Psychometric Society. Book of Abstracts (Talks, Posters). Bologna: Psychometric Society, 2022. s. 169-169. [IMPS 2022. International Meeting of the Psychometric Society. 11.07.2022-15.07.2022, Bologna]. ABSTRAKT: Item characteristics such as difficulty or discrimination power are typically estimated from data. When little or no data are available at the pre-test, the test developers rely on their experience in how items of different content and wording influence item characteristics. In this work, we explore various item features gathered from text analysis of item wording to predict item difficulty. We illustrate the methods using the English language test of the Czech matura exam.
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
50301 - Education, general; including training, pedagogy, didactics [and education systems]
Result continuities
Project
<a href="/en/project/TL05000008" target="_blank" >TL05000008: Advances in educational assessment: Analytical support for educational test development</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