Tracing the Origin of Rating Bias in a High‐Stakes Chinese–English Translation Test

ABSTRACT Human ratings introduce rating bias, thereby undermining the reliability and fairness of the test. While existing studies have identified rating bias as a construct‐irrelevant factor, the sources of rating bias are underexplored. Therefore, this study explored the sources of rating bias of the translation task of a high‐stakes English language test. Based on the performance of 25 students on the translation test task, this study invited nine raters from three universities to rate these responses and collected their rating performance data on the first and last days of CET‐4 rating. Many‐facet Rasch measurement model and think‐aloud were employed to examine the rating bias and explore its sources. The findings revealed that raters' reliability was acceptable but decreased on the last day, and the sources of rating bias were mainly derived from three areas, including rating administration, raters' cognition and construct‐irrelevance factors. Implications on balancing practicality and validity regarding human rating are discussed based on the results.

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Publication Details

Journal
European Journal of Education
Published
2026-04-27
DOI
https://doi.org/10.1111/ejed.70638
Primary Topic
Psychometric Methodologies and Testing
Type
article
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article

Tracing the Origin of Rating Bias in a High‐Stakes Chinese–English Translation Test

黎清, Zhiqiang Yang, Zhang Tao, Baohua Dong
European Journal of Education
Psychometric Methodologies and Testing
article

Tracing the Origin of Rating Bias in a High‐Stakes Chinese–English Translation Test

黎清, Zhiqiang Yang, Zhang Tao, Baohua Dong
article en

Abstract

ABSTRACT Human ratings introduce rating bias, thereby undermining the reliability and fairness of the test. While existing studies have identified rating bias as a construct‐irrelevant factor, the sources of rating bias are underexplored. Therefore, this study explored the sources of rating bias of the translation task of a high‐stakes English language test. Based on the performance of 25 students on the translation test task, this study invited nine raters from three universities to rate these responses and collected their rating performance data on the first and last days of CET‐4 rating. Many‐facet Rasch measurement model and think‐aloud were employed to examine the rating bias and explore its sources. The findings revealed that raters' reliability was acceptable but decreased on the last day, and the sources of rating bias were mainly derived from three areas, including rating administration, raters' cognition and construct‐irrelevance factors. Implications on balancing practicality and validity regarding human rating are discussed based on the results.

European Journal of EducationVol. 61(2)
Chongqing University of Science and Technology (CN)
Quality Education
Openalex Percentile: Top 3%
Psychometric Methodologies and Testing
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Tracing the Origin of Rating Bias in a High‐Stakes Chinese–English Translation Test — 黎清, Zhiqiang Yang, et al. · European Journal of Education (2026) | TGRS Research Map | TGRS