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A new item response theory model for rater centrality using a hierarchical rater model approach
Qiu, Xue-Lan Chiu, Ming Ming Wang, Wen-Chung Chen, Po-Hsi
Qiu, Xue-Lan
Chiu, Ming Ming
Wang, Wen-Chung
Chen, Po-Hsi
Abstract
Rater centrality, in which raters overuse middle scores for rating, is a common rater error which can affect test scores and subsequent decisions. Past studies on rater errors have focused on rater severity and inconsistency, neglecting rater centrality. This study proposes a new model within the hierarchical rater model framework to explicitly specify and directly estimate rater centrality in addition to rater severity and inconsistency. Simulations were conducted using the freeware JAGS to evaluate the parameter recovery of the new model and the consequences of ignoring rater centrality. The results revealed that the model had good parameter recovery with small bias, low root mean square errors, and high test score reliability, especially when a fully crossed linking design was used. Ignoring centrality yielded poor item difficulty estimates, person ability estimates, rater errors estimates, and underestimated reliability. We also showcase how the new model can be used, using an empirical example involving English essays in the Advanced Placement exam.
Keywords
rater errors, centrality effect, hierarchical rater model, item response theory
Date
2022
Type
Journal article
Journal
Behavior Research Methods
Book
Volume
54
Issue
4
Page Range
1854-1868
Article Number
ACU Department
Institute for Learning Sciences and Teacher Education (ILSTE)
Faculty of Education and Arts
Faculty of Education and Arts
Relation URI
Source URL
Event URL
Open Access Status
License
All rights reserved
File Access
Controlled