The Comparison of the Equated Tests Scores by Various Covariates using Bayesian Nonparametric Model
This research is based on obtaining equated scores by using covariates in the Bayesian nonparametric model. As covariates in the study, gender, mathematics self-efficacy scores, and common item scores were used. The distributions were obtained for all score groups. Hellinger Distance was calculate...
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doaj-4f00ea7c32d041cabdcb153734c82e072021-08-10T09:12:34ZengEPODDERJournal of Measurement and Evaluation in Education and Psychology1309-65751309-65752021-06-0112219221110.21031/epod.864744The Comparison of the Equated Tests Scores by Various Covariates using Bayesian Nonparametric Model Meltem YURTÇU0https://orcid.org/0000-0003-3303-5093Hülya KELECİOĞLU1https://orcid.org/0000-0002-0741-9934Edward L. BOONE2https://orcid.org/0000-0003-0755-6899Inonu University Hacettepe University Virginia Commonwealth UniversityThis research is based on obtaining equated scores by using covariates in the Bayesian nonparametric model. As covariates in the study, gender, mathematics self-efficacy scores, and common item scores were used. The distributions were obtained for all score groups. Hellinger Distance was calculated to obtain the distances between the distributions of equated scores by using covariates and the distribution of the target test scores. These distances were compared with the distributions of equated scores obtained from methods based on Item Response Theory. The study was conducted on Canadian and Italian samples of Programme for International Student Assessment (PISA) 2012. PARSCALE and IRTEQ were used for classical methods, and R was used for Bayesian nonparametric model. When gender, mathematics self-efficacy scores, and common item scores were used as covariates in the model, distance values of obtained equated scores to target test scores were close to each other, but their distributions were different. The closest distribution to target test scores was achieved when gender and mathematics self-efficacy scores were used together as covariates in the model, and the farthest distributions were obtained from item response theory methods. As a result of the research, it was determined that the model is more informative than the classical methods.https://dergipark.org.tr/en/pub/epod/issue/63232/864744test equatingbayesian nonparametric modelcovariatesequated scoresscore distribution |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Meltem YURTÇU Hülya KELECİOĞLU Edward L. BOONE |
spellingShingle |
Meltem YURTÇU Hülya KELECİOĞLU Edward L. BOONE The Comparison of the Equated Tests Scores by Various Covariates using Bayesian Nonparametric Model Journal of Measurement and Evaluation in Education and Psychology test equating bayesian nonparametric model covariates equated scores score distribution |
author_facet |
Meltem YURTÇU Hülya KELECİOĞLU Edward L. BOONE |
author_sort |
Meltem YURTÇU |
title |
The Comparison of the Equated Tests Scores by Various Covariates using Bayesian Nonparametric Model |
title_short |
The Comparison of the Equated Tests Scores by Various Covariates using Bayesian Nonparametric Model |
title_full |
The Comparison of the Equated Tests Scores by Various Covariates using Bayesian Nonparametric Model |
title_fullStr |
The Comparison of the Equated Tests Scores by Various Covariates using Bayesian Nonparametric Model |
title_full_unstemmed |
The Comparison of the Equated Tests Scores by Various Covariates using Bayesian Nonparametric Model |
title_sort |
comparison of the equated tests scores by various covariates using bayesian nonparametric model |
publisher |
EPODDER |
series |
Journal of Measurement and Evaluation in Education and Psychology |
issn |
1309-6575 1309-6575 |
publishDate |
2021-06-01 |
description |
This research is based on obtaining equated scores by using covariates in the Bayesian nonparametric model. As
covariates in the study, gender, mathematics self-efficacy scores, and common item scores were used. The
distributions were obtained for all score groups. Hellinger Distance was calculated to obtain the distances
between the distributions of equated scores by using covariates and the distribution of the target test scores.
These distances were compared with the distributions of equated scores obtained from methods based on Item
Response Theory. The study was conducted on Canadian and Italian samples of Programme for International
Student Assessment (PISA) 2012. PARSCALE and IRTEQ were used for classical methods, and R was used for
Bayesian nonparametric model. When gender, mathematics self-efficacy scores, and common item scores were
used as covariates in the model, distance values of obtained equated scores to target test scores were close to
each other, but their distributions were different. The closest distribution to target test scores was achieved when
gender and mathematics self-efficacy scores were used together as covariates in the model, and the farthest
distributions were obtained from item response theory methods. As a result of the research, it was determined
that the model is more informative than the classical methods. |
topic |
test equating bayesian nonparametric model covariates equated scores score distribution |
url |
https://dergipark.org.tr/en/pub/epod/issue/63232/864744 |
work_keys_str_mv |
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