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Using Prior Wave Information and Paradata: Can They Help to Predict Response Outcomes and Call Sequence Length in a Longitudinal Study? Cover

Using Prior Wave Information and Paradata: Can They Help to Predict Response Outcomes and Call Sequence Length in a Longitudinal Study?

Journal of Official Statistics
Volume 33 (2017): Issue 3 (September 2017)
By: Gabriele B. Durrant,  Olga Maslovskaya and  Peter W. F. Smith  
Open Access
|Sep 2017

Authors

Gabriele B. Durrant

g.durrant@southampton.ac.uk

Department of Social Statistics and Demography and ESRC National Centre for Research Methods (NCRM), School of Social Sciences, University of Southampton, Southampton, United Kingdom of Great Britain and Northern Ireland

Olga Maslovskaya

om206@soton.ac.uk

ESRC National Centre for Research Methods (NCRM), School of Social Sciences, University of Southampton, United Kingdom of Great Britain and Northern Ireland

Peter W. F. Smith

p.w.smith@soton.ac.uk

Department of Social Statistics and Demography and ESRC Administrative Data Research Centre for England (ADRC-E), School of Social Sciences, University of Southampton, United Kingdom of Great Britain and Northern Ireland
DOI: https://doi.org/10.1515/jos-2017-0037 | Journal eISSN: 2001-7367
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Language: English
Page range: 801 - 833
Submitted on: Apr 1, 2016
|
Accepted on: Jun 1, 2017
|
Published on: Sep 9, 2017
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Survey nonresponse,
interviewer call record data,
paradata,
call sequence,
responsive and adaptive survey designs
Related subjects:
Mathematics,
Probability and statistics

© 2017 Gabriele B. Durrant, Olga Maslovskaya, Peter W. F. Smith, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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