Examinee Classification Accuracy
Examinee Classification Accuracy is a psychometric metric that quantifies the proportion of examinees correctly assigned to their mastery or non-mastery states in criterion-referenced testing contexts according to a predefined cut score or standard, distinguishing it from broader proficiency estimation by focusing specifically on the accuracy of binary or categorical classification decisions.
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2017–2026
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Douglas B. Petersen, Helen Chanthongthip, Teresa A. Ukrainetz et al. · Journal of Speech Language and Hearing Research · 2017 · 87 citations
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77

University of Windsor
Windsor, Canada
4 h-index
16 publications
679 citations

University of Calgary
Calgary, Canada
3 h-index
3 publications
87 citations

Michigan Department of Education
Lansing, United States
2 h-index
3 publications
64 citations

Pennsylvania State University
State College, United States
2 h-index
3 publications
69 citations
Mayo Clinic in Florida
Jacksonville, United States
1 h-index
1 publications
78 citations

Morriston Hospital
Swansea, United Kingdom
1 h-index
1 publications
19 citations
Google (United States)
Mountain View, United States
1 h-index
2 publications
40 citations
South Texas Veterans Health Care System
San Antonio, United States
1 h-index
2 publications
90 citations
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JSLHR · 3 publications · 180 citations
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2 publications · 97 citations
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2 publications · 40 citations
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3 publications · 108 citations
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TCN · 2 publications · 45 citations
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