Sample Composition Selection is a methodological construct in training population design that specifies the systematic process of determining the proportional representation and inclusion criteria of subgroups within a sample to optimize generalizability, fairness, or model performance.
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Martine van Selm, Nicholas W. Jankowski · Quality & Quantity · 2006 · 914 citations
Social Sciences, Information Systems, Item Response Theory +16
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Columbia University
New York, United States
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Santiago de Compostela, Spain
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474 citations
University of North Carolina at Chapel Hill
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Sydney, Australia
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Stockholm, Sweden
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Madison, United States
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Tallahassee, United States
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Pittsburgh, United States
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