Parameter Drift Detection is a statistical methodology used in psychometric and educational measurement to identify unintended changes in item parameter estimates across different test administrations or populations, thereby indicating a violation of item parameter invariance.
30
Publications
1.7K
Citations
76
Authors
48
Institutions
Publications per year
2017–2026
9
Parents
Publications
30
Analyzing concept drift and shift from sample data
Geoffrey I. Webb, Loong Kuan Lee, Bart Goethals et al. · Data Mining and Knowledge Discovery · 2018 · 105 citations
1–5 of 30
Authors
76
- CM
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1–5 of 76
Institutions
48
Educational Testing Service
Princeton, United States
3 h-index
6 publications
575 citations
Universidad Autónoma de Madrid
Madrid, Spain
1 h-index
1 publications
12 citations
Western University
London, Canada
1 h-index
3 publications
114 citations
IBM (United States)
Armonk, United States
1 h-index
1 publications
23 citations
Pearson (United States)
New York, United States
1 h-index
1 publications
14 citations
University of Calgary
Calgary, Canada
1 h-index
1 publications
17 citations
Université de Lille
Lille, France
1 h-index
1 publications
35 citations
The Ohio State University
Columbus, United States
1 h-index
1 publications
23 citations
1–8 of 48
Venues
- Applied Measurement in Education
2 publications · 54 citations
2
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- IEEE Transactions on Power Systems
1 publications · 100 citations
1
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- Journal of Regional Science
JRS · 1 publications · 479 citations
1
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- Learning with Imbalanced Domains: Theory and Applications
Conference · 1 publications · 10 citations
1
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- PHM Society European Conference
1 publications · 13 citations
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