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The performance of weighting and imputation in adjusting for non-response is compared using six sweeps of longitudinal data from the Edinburgh Study of Youth Transitions and Crime. This survey contains a large number of questions with ordinal responses where any response other than the lowest is often fairly rare. Once the appropriate covariates have been identified, weighting is relatively straightforward to carry out, whereas imputation for this type of data leads to many technical difficulties. Eventually, two of the six imputation strategies attempted produced reasonable results. The imputation methods produced greater differences from the observed data than weighting. Possible reasons for this are discussed along with the advantages and disadvantages of the two methods.
|Publication status||Unpublished - Jul 2006|
- Weighting; imputation; longitudinal data; missing data
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- 1 Finished
Smith, D. & McAra, L.
1/04/05 → 31/10/07