Handling attrition and non-response in longitudinal data

Authors
Goldstein, H
Year
2009
Journal
International Journal of Longitudinal and Life Course Studies, 172:3, 599-613
DOI
10.14301/llcs.v1i1.21
Abstract

Procedures for handling attrition and missing data in longitudinal studies are discussed. A multiple imputation (MI) strategy is developed that can be applied to complex multilevel data. It is both general and statistically efficient and estimation software is available. An example of its use is given.

Number of levels
2
Model data structure
Response types
Multivariate response model?
No
Longitudinal data?
Yes
Substantive discipline
Impact

Expected to have impact on longitudinal surveys with large amounts of missing data and attrition. Shows how to deal with this efficiently.

Paper submitted by
Harvey Goldstein, Graduate School of Education, University of Bristol, h.goldstein@bristol.ac.uk
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