Scoring Bias Analysis
Scoring Bias Analysis is a systematic methodological framework within automated essay scoring research that identifies and quantifies systematic inaccuracies or inequities in score predictions attributable to irrelevant variables such as demographic characteristics, linguistic style, or topic familiarity, thereby distinguishing it from general validation or performance evaluation approaches by its focused examination of fairness and differential outcomes.
34
Publications
1.4K
Citations
74
Authors
26
Institutions
Publications per year
2017–2026
17
Parents
34
1–5 of 34
74
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h-index
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1–5 of 74
26
Educational Testing Service
Princeton, United States
4 h-index
10 publications
276 citations
Yale University
New Haven, United States
2 h-index
3 publications
49 citations
Universidad de la República de Uruguay
Montevideo, Uruguay
1 h-index
1 publications
40 citations

California State University, Long Beach
Long Beach, United States
1 h-index
1 publications
20 citations

McGill University
Montreal, Canada
1 h-index
1 publications
38 citations
Richard L. Roudebush VA Medical Center
Indianapolis, United States
1 h-index
3 publications
1.4K citations

University of Electro-Communications
Tokyo, Japan
1 h-index
2 publications
60 citations
Oregon Health & Science University
Portland, United States
1 h-index
3 publications
42 citations
1–8 of 26
2 publications · 44 citations
2
h-index
1 publications · 38 citations
1
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Conference · 1 publications · 18 citations
1
h-index
1 publications · 49 citations
1
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AJE · 1 publications · 20 citations
1
h-index
1–5