Matthias Schnetzer, Franz Astleithner, Predrag Cetkovic, Stefan Huber, Manuela Lenk, Mathias Moser
This article contributes a framework for the quality assessment of imputations within a broader structure to evaluate the quality of register-based data. Four quality-related hyperdimensions examine the data processing from the raw-data level to the final statistics. Our focus lies on the quality assessment of different imputation steps and their influence on overall data quality. We suggest classification rates as a measure of accuracy of imputation and derive several computational approaches.
© 2008-2024 Fundación Dialnet · Todos los derechos reservados