About the product
Based on practical examples from different statistical agencies, this publication offers guidelines on how to design sets of edits, what to do when an edit fails and how to evaluate the editing process. It sheds light on a number of aspects of different data editing tasks, aiming to reduce the editing costs and to improve data quality. The use of graphical editing, the impact of new technology on data editing, for example, electronic data interchange, optical reading and computer assisted personal interviewing, and automated coding are explained in detail. It also includes a glossary of terms used in statistical data editing.
