Recommended Practices for Editing and Imputation for Cross-Sectional Business Surveys
Lade...
DOI der Originalpublikation
Projekttyp
angewandte Forschung
Projektbeginn
20.02.2007
Projektende
27.03.2008
Projektstatus
abgeschlossen
Projektkontakt
Projektmanager:in
Beteiligte
Beschreibung
Zusammenfassung
The EDIMBUS project developed a manual for editing and imputation in cross-sectional business surveys. Survey data always contains erroneous and missing data. Editing and imputation cover the phases which deal with erroneous and missing data and thus are crucial for the quality of the data provided by Eurostat and the National Statistical Institutes of the European Statistical System. Eurostat entrusted the project partners to developed a guide for the design, the implementation, the testing and the documentation of editing and imputation strategies. The manual should present the best current methods for statistical data preparation. More importantly, it should give advise to survey managers how to approach the difficult task of developing a system for statistical data preparation which takes into account the relation between different phases of statistical data preparation, the resources needed and the effect on outcomes.
Link
Während FHNW Zugehörigkeit erstellt
Hochschule
Hochschule für Wirtschaft
Institut
Institute for Competitiveness and Communication
Finanziert durch
Projektpartner
Bundesamt für Statistik BFS
Finanziert durch
SAP Referenz
w396-0004
Schlagwörter
Fachgebiet (DDC)
650 - Management
380 - Handel, Kommunikation, Verkehr
380 - Handel, Kommunikation, Verkehr