110 likes | 222 Vues
This review addresses crucial issues related to quality indicators and reporting in business surveys, particularly focusing on non-responses and data editing techniques. It highlights contributions from various countries: France's approach to handling non-responses, Italy's simulation methods for evaluating editing quality, Canada's post-collection processes, and the United Kingdom's new statistical infrastructure. The paper emphasizes the significance of developing useful quality indicators and effective reporting methods for editing and imputation processes, aiming to foster best practices in data management across nations.
E N D
5/13/2005 • Issues on topic (v): Quality indicators and quality reporting • REVIEW OF PAPERS
The contribution of different ways of dealing with non-responses in French business surveys (France)
Evaluating the quality of editing and imputation: The simulation approach
Overview of the collection and post-collection processes (Canada)
The data editing process within the New Statistical Infrastructure of the Office for National Statistics (United Kingdom)
IT tools for an integrated data editing concept – revision (Germany)
Quality indicators for evaluating and documenting editing and imputation (Italy)
Evaluating the editing and imputation process: The Italian experience (Italy) • ISSUES FOR DISCUSSION • Useful quality indicators • Quality reporting • How to proceed with this important issue