Počet záznamů: 1
A simulation study of repeated covariate equating
- 1.
SYSNO ASEP 0580479 Druh ASEP A - Abstrakt Zařazení RIV O - Ostatní Název A simulation study of repeated covariate equating Tvůrce(i) Vařejková, Michaela (UIVT-O)
Martinková, Patrícia (UIVT-O) SAI, RID, ORCID
Potužníková, E. (CZ)Zdroj.dok. The 10th European Congress of Methodology (EAM2023) Book of Abstracts. - Ghent : Ghent University, 2023
S. 267-267Poč.str. 1 s. Forma vydání Online - E Akce EAM2023: European Congress of Methodology /10./ Datum konání 11.07.2023 - 13.07.2023 Místo konání Ghent Země BE - Belgie Typ akce EUR Jazyk dok. eng - angličtina Země vyd. BE - Belgie Klíč. slova test equating ; simulation study ; psychometrics ; educational measurement Obor OECD Education, general; including training, pedagogy, didactics [and education systems] CEP GA21-03658S GA ČR - Grantová agentura ČR TL05000008 GA TA ČR - Technologická agentura ČR Institucionální podpora UIVT-O - RVO:67985807 Anotace ZÁKLADNÍ ÚDAJE: The 10th European Congress of Methodology (EAM2023) Book of Abstracts. Ghent: Ghent University, 2023. s. 267-267. [EAM2023: European Congress of Methodology /10./. 11.07.2023-13.07.2023, Ghent]. ABSTRAKT: When performing test equating with non-equivalent groups and without an anchor test, one potential solution how to adjust for group differences is to substitute the anchor test score with covariates, such as grades or scores from another test. A key assumption for this approach is that the conditional distribution of test scores, given the covariates, is the same in all groups. In this work, we conduct a simulation study to investigate how different types of violations of the same conditional distribution assumption can affect the resulting equated scores. We consider two non-equivalent groups differing in ability. As covariates, we use two binary variables (which can, for example, refer to student’s educational status and school type) and one continuous variable referring to a score from another test. The continuous variable was generated to be correlated with the other two binary variables. In the simulations, we explore several scenarios differing in sample size and the relationship between the test score and the continuous covariate. We show that if the assumption of equal conditional distribution is not met due to the fact that the covariate itself is measured using different test forms, the accuracy of the resulting equated scores can be improved by equating the covariate before incorporating it into the primary test scores equating algorithm. Pracoviště Ústav informatiky Kontakt Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Rok sběru 2024 Elektronická adresa https://eam2023.ugent.be/images/eam2023_abstracts_book.pdf
Počet záznamů: 1