Quality Assessment of Imputations in Administrative Data

Autor: Schnetzer, Matthias, Astleithner, Franz, Cetkovic, Predrag, Humer, Stefan, Lenk, Manuela, Moser, Mathias
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Druh dokumentu: Článek
DOI: 10.1515/JOS-2015-0015
Popis: 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. (authors' abstract)
Databáze: Networked Digital Library of Theses & Dissertations