Adjusting for Non-response in a Longitudinal Survey: Comparisons of Weighting and Imputation

Susan McVie, Paul Norris, Gillian Raab

Research output: Contribution to conferencePaper

Abstract

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.
Original languageEnglish
Publication statusUnpublished - Jul 2006

Keywords

  • Weighting; imputation; longitudinal data; missing data
  • ESYTC

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