Using call record data to investigate household response outcome:: Evidence from understanding society data
Using call record data to investigate household response outcome:: Evidence from understanding society data
Survey practitioners are increasingly interested in how best to use paradata including call record data to investigate nonresponse and to improve data collection processes. One particular question is whether it is possible to identify early on during the 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 the 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 in the models, only slightly improve the predictive power of the models.
Maslovskaya, Olga
9c979052-e9d7-4400-a657-38f1f9cd74d0
Durrant, Gabriele
14fcc787-2666-46f2-a097-e4b98a210610
Smith, Peter W.F.
961a01a3-bf4c-43ca-9599-5be4fd5d3940
13 July 2017
Maslovskaya, Olga
9c979052-e9d7-4400-a657-38f1f9cd74d0
Durrant, Gabriele
14fcc787-2666-46f2-a097-e4b98a210610
Smith, Peter W.F.
961a01a3-bf4c-43ca-9599-5be4fd5d3940
Maslovskaya, Olga, Durrant, Gabriele and Smith, Peter W.F.
(2017)
Using call record data to investigate household response outcome:: Evidence from understanding society data.
Understanding Society Conference 2017, University of Essex, Colchester, United Kingdom.
11 - 13 Jul 2017.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Survey practitioners are increasingly interested in how best to use paradata including call record data to investigate nonresponse and to improve data collection processes. One particular question is whether it is possible to identify early on during the 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 the 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 in the models, only slightly improve the predictive power of the models.
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Published date: 13 July 2017
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Invited Talk
Venue - Dates:
Understanding Society Conference 2017, University of Essex, Colchester, United Kingdom, 2017-07-11 - 2017-07-13
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Local EPrints ID: 417232
URI: http://eprints.soton.ac.uk/id/eprint/417232
PURE UUID: 0ee4fb66-1306-45db-833d-909ded450f4d
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Date deposited: 26 Jan 2018 17:30
Last modified: 18 May 2024 01:40
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