Testing quality-weighted imputation for learner-data imputation under 31% missingness rate: a blocked comparison
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Keywords

learner-data imputation
quality-weighted imputation
missingness rate
paired simulation
reproducibility

Abstract

We evaluated quality-weighted imputation for learner-data imputation under 31% missingness rate. A deterministic paired simulation generated 48 cases and preserved a median slice. Mean inverse imputation error changed from 0.520 to 0.558; the paired difference was +0.038 (95% interval +0.035 to +0.040). The result is limited to the stated simulation and is reported with a reproducible result artifact.

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