Publication type
Conference Paper
Series
Understanding Society Scientific Conference 2017, 11-13 July 2017, University of Essex, Colchester, UK
Author
Publication date
July 13, 2017
Summary:
Survey practitioners are increasingly interested in how best to use paradata including call record data to investigate nonresponse and improve data collection processes. One question is whether it is possible to identify early on during fieldwork sample cases that may require longer time until interviewing is completed and therefore require a lot of financial and staff resources. Another question is how useful paradata, including call record data, from a cross-sectional study and from the current and previous waves of a longitudinal study are in predicting response outcomes in both contexts. This paper uses data including call record data from Understanding Society waves 1-3 to investigate and predict household response outcomes. We first analyse call sequences within households using sequence analysis. The main aim of using sequence analysis is to understand better the survey processes. We then employ call record data in cross-sectional and longitudinal contexts to predict final call outcomes of households. The results indicate that outcomes of previous calls, in particular from the most recent call, are highly predictive in both contexts. The timing of calls in cross-sectional context as well as previous wave paradata in longitudinal context, although significant, only slightly improve the predictive power of the models.
Subject
Link
https://www.understandingsociety.ac.uk/scientific-conference-2017/papers/143
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