The data quality concept of accuracy in the context of publicly shared data sets

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Autor/in:
Erscheinungsjahr:
2009
Medientyp:
Text
Schlagworte:
  • Census
  • Administrative data
  • Statistical institutes
  • Surveys
  • Data Collection
  • Interview
  • Census
  • Administrative data
  • Statistical institutes
  • Surveys
  • Data Collection
  • Interview
Beschreibung:
  • Along with other data quality dimensions, the concept of accuracy is often used to describe the quality of a particular data set. However, its basic definition refers to the statistical properties of estimators, which can hardly be proved by means of just a single survey. This ambiguity can be resolved by assigning "accuracy" to survey processes that are known to affect these properties. In this contribution, we consider the sub-process of imputation as one important step in setting up a data set and argue that criteria like the so called "hit-rate" criterion, which is intended to measure the accuracy of a data set by some distance function of "true" but unobserved and imputed values, is neither required nor desirable. In contrast, the so-called "inference" criterion allows statements on the validity of inferences based on a suitably completed data set under rather general conditions. The underlying theoretical concepts are illustrated by means of a simulation study. It is emphasised that the same arguments apply to other survey processes that introduce uncertainty into an edited data set. © 2009 Springer.
Lizenz:
  • info:eu-repo/semantics/closedAccess
Quellsystem:
Forschungsinformationssystem der UHH
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oai:www.edit.fis.uni-hamburg.de:publications/42b59534-1c14-4b90-bb14-1700426ec3ce