Publication type
Journal Article
Authors
Publication date
June 15, 2016
Summary:
Sequence analysis is widely used in life course research and more recently has been applied by survey methodologists to summarize complex call record data. However, summary variables derived in this way have proved ineffective for post-survey adjustments, owing to weak correlations with key survey variables. We reflect on the underlying optimal matching algorithm and test the sensitivity of the output to input parameters or ‘costs’, which must be specified by the analyst. The results illustrate the complex relationship between these costs and the output variables which summarize the call record data. Regardless of the choice of costs, there was a low correlation between the summary variables and the key survey variables, limiting the scope for bias reduction. The analysis is applied to call records from the Irish Longitudinal Study on Ageing, which is a nationally representative, face-to-face household survey.
Published in
Journal of the Royal Statistical Society Series A (Statistics in Society)
Volume and page numbers
Volume: 179 , p.793 -808
DOI
http://dx.doi.org/10.1111/rssa.12143
ISSN
9641998
Subjects
Notes
Albert Sloman Library Periodicals *restricted to Univ. Essex registered users*
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