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Investigating call record data using sequence analysis

Investigating call record data using sequence analysis
Investigating call record data using sequence analysis
Researchers have become increasingly interested in better understanding the survey data collection process in interviewer-administered surveys. However, tools for analysing paradata capturing information about field processes, also called call record data, are still not yet fully explored. This paper introduces sequence analysis as a simple tool for investigating such data with the aim of better understanding survey processes and improving survey monitoring. Combining the technique with optimal matching, clustering and multidimensional scaling, the method offers a way of visualising and summarising complex call record data. A novel approach is to use sequence analysis within interviewers, which allows the identification of unusual interviewer calling behaviours, and may provide guidance on interviewer performance. The method may hence be informative for adaptive survey designs and will help to identify unusual behaviour and outliers. The technique is applied to call record data from the UK Understanding Society survey. The findings inform further modelling of call record data to increase efficiency in call scheduling and for the improvement of call outcome predictions.
1364-5579
Durrant, Gabriele
14fcc787-2666-46f2-a097-e4b98a210610
Maslovskaya, Olga
9c979052-e9d7-4400-a657-38f1f9cd74d0
Smith, Peter W.F.
961a01a3-bf4c-43ca-9599-5be4fd5d3940
Durrant, Gabriele
14fcc787-2666-46f2-a097-e4b98a210610
Maslovskaya, Olga
9c979052-e9d7-4400-a657-38f1f9cd74d0
Smith, Peter W.F.
961a01a3-bf4c-43ca-9599-5be4fd5d3940

Durrant, Gabriele, Maslovskaya, Olga and Smith, Peter W.F. (2018) Investigating call record data using sequence analysis. International Journal of Social Research Methodology. (doi:10.1080/13645579.2018.1490981).

Record type: Article

Abstract

Researchers have become increasingly interested in better understanding the survey data collection process in interviewer-administered surveys. However, tools for analysing paradata capturing information about field processes, also called call record data, are still not yet fully explored. This paper introduces sequence analysis as a simple tool for investigating such data with the aim of better understanding survey processes and improving survey monitoring. Combining the technique with optimal matching, clustering and multidimensional scaling, the method offers a way of visualising and summarising complex call record data. A novel approach is to use sequence analysis within interviewers, which allows the identification of unusual interviewer calling behaviours, and may provide guidance on interviewer performance. The method may hence be informative for adaptive survey designs and will help to identify unusual behaviour and outliers. The technique is applied to call record data from the UK Understanding Society survey. The findings inform further modelling of call record data to increase efficiency in call scheduling and for the improvement of call outcome predictions.

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Sequence_analysis_IJSRM - Accepted Manuscript
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paper_Sequence analysis_IJSRM_manuscript_revisions_9 - Accepted Manuscript
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More information

Accepted/In Press date: 15 June 2018
e-pub ahead of print date: 19 September 2018

Identifiers

Local EPrints ID: 421911
URI: http://eprints.soton.ac.uk/id/eprint/421911
ISSN: 1364-5579
PURE UUID: b0a05d1e-a065-4e8f-8f94-748315ce6a9c
ORCID for Olga Maslovskaya: ORCID iD orcid.org/0000-0003-3814-810X
ORCID for Peter W.F. Smith: ORCID iD orcid.org/0000-0003-4423-5410

Catalogue record

Date deposited: 09 Jul 2018 16:30
Last modified: 30 Jul 2019 00:35

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