The University of Southampton
University of Southampton Institutional Repository

Sequence analysis as a tool for investigating call record data

Sequence analysis as a tool for investigating call record data
Sequence analysis as a tool for investigating call record data
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 understand ing and improving survey processes. 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. Combining the technique with clustering, optimal matching and multidimensional scaling, the method offers a way of visualising, displaying and summarising complex call record data. The method is introduced to inform survey management and survey monitoring. Sequence analysis 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.
interviewer call record data, multidimensional scaling, optimal matching, paradata, responsive and adaptive survey designs, survey cooperation
University of Southampton
Durrant, Gabriele B.
14fcc787-2666-46f2-a097-e4b98a210610
Maslovskaya, Olga
9c979052-e9d7-4400-a657-38f1f9cd74d0
Smith, Peter W.F.
961a01a3-bf4c-43ca-9599-5be4fd5d3940
Durrant, Gabriele B.
14fcc787-2666-46f2-a097-e4b98a210610
Maslovskaya, Olga
9c979052-e9d7-4400-a657-38f1f9cd74d0
Smith, Peter W.F.
961a01a3-bf4c-43ca-9599-5be4fd5d3940

Durrant, Gabriele B., Maslovskaya, Olga and Smith, Peter W.F. (2014) Sequence analysis as a tool for investigating call record data , Southampton, GB University of Southampton 32pp.

Record type: Monograph (Working Paper)

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 understand ing and improving survey processes. 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. Combining the technique with clustering, optimal matching and multidimensional scaling, the method offers a way of visualising, displaying and summarising complex call record data. The method is introduced to inform survey management and survey monitoring. Sequence analysis 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.

PDF paper_Durrant%20et%20al_Sequ%20anal_vs%205.pdf - Other
Download (432kB)

More information

Published date: September 2014
Keywords: interviewer call record data, multidimensional scaling, optimal matching, paradata, responsive and adaptive survey designs, survey cooperation
Organisations: Statistical Sciences Research Institute

Identifiers

Local EPrints ID: 369102
URI: http://eprints.soton.ac.uk/id/eprint/369102
PURE UUID: 4d02c645-73c9-4ae9-a900-7c1cf3637ecf
ORCID for Peter W.F. Smith: ORCID iD orcid.org/0000-0003-4423-5410

Catalogue record

Date deposited: 25 Sep 2014 11:09
Last modified: 18 Jul 2017 01:40

Export record

Contributors

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×