Web Survey Bibliography

Title Reducing Missing Data in Surveys: An Overview of Methods
Source Quality and Quantity, 35, 2, pp. 147-160
Year 2001
Access date 23.11.2004
Abstract Although item nonresponse can never be totally prevented, it can be considerably reduced, and thereby provide the researcher with not only more useable data, but also with helpful auxiliary information for a better imputation and adjustment. To achieve this an optimal data collection design is necessary. The optimization of the questionnaire and survey design are the main tools a researcher has to reduce the number of missing data in any such survey. In this contribution a concise typology of missing data patterns and their sources of origin are presented. Based on this typology, the mechanisms responsible for missing data are identified, followed by a discussion on how item nonresponse can be prevented.
Access/Direct link Kluwer Journals (full text)
Year of publication2001
Bibliographic typeJournal article
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Web Survey Bibliography - 2001 (349)

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