The University of Southampton
University of Southampton Institutional Repository

Modelling survey participation in surveys involving multiple phases of data collection

Modelling survey participation in surveys involving multiple phases of data collection
Modelling survey participation in surveys involving multiple phases of data collection

This thesis aims to link the theory of response effects (Sudman and Bradburn, 1984), the conceptual theory of survey participation (Groves and Couper, 1996) and the route map of social exclusion developed (Atkinson, 1998), extending the survey non-response framework for studying the associations between social exclusion and non-response.  In the empirical part, we examine the Finnish Health 2000 survey data with direct linkage to auxiliary information at individual level.  In addition, we have conducted an interviewer perception survey amongst the interviewers who participated in the fieldwork of Health 2000.  We model survey participation behaviour of individuals in the presence of high response burden, analysing survey attrition across multiple data collection phases. Using multilevel sequential logit modelling, we incorporate the interviewer level information into the survey participation analysis.

We have found that the survey participation behaviour of individuals is greatly affected by their socio-economic circumstances, social capital, and social connectedness.  People with affluent circumstances are more co-operative than people with any of the social exclusion risk factors.  However, rehabilitation programs supporting people to actively participate to the society and help their entry or return to the labour market are found to increase survey co-operation.  We demonstrate that a single model oversimplifies the survey participation in a survey with multiple data collection phases. We show that the interviewer effect in face-to-face interviewing survey may impact participation at further data collection components, which by survey design are independent from the presence of the interviewers.  Finally, we illustrate that the survey estimates can be improved, if the survey non-response propensity weighting is accounted for depending also on the characteristics and perceptions of the interviewers. This finding shows that the interviewer effect can contaminate the obtained survey information not only at individual level, but also at the level population distributions for the survey estimates.

University of Southampton
Laiho, Petra Marjut Johanna
c71f9cca-1ada-4b90-83c0-4f3afd35d9d5
Laiho, Petra Marjut Johanna
c71f9cca-1ada-4b90-83c0-4f3afd35d9d5

Laiho, Petra Marjut Johanna (2006) Modelling survey participation in surveys involving multiple phases of data collection. University of Southampton, Doctoral Thesis.

Record type: Thesis (Doctoral)

Abstract

This thesis aims to link the theory of response effects (Sudman and Bradburn, 1984), the conceptual theory of survey participation (Groves and Couper, 1996) and the route map of social exclusion developed (Atkinson, 1998), extending the survey non-response framework for studying the associations between social exclusion and non-response.  In the empirical part, we examine the Finnish Health 2000 survey data with direct linkage to auxiliary information at individual level.  In addition, we have conducted an interviewer perception survey amongst the interviewers who participated in the fieldwork of Health 2000.  We model survey participation behaviour of individuals in the presence of high response burden, analysing survey attrition across multiple data collection phases. Using multilevel sequential logit modelling, we incorporate the interviewer level information into the survey participation analysis.

We have found that the survey participation behaviour of individuals is greatly affected by their socio-economic circumstances, social capital, and social connectedness.  People with affluent circumstances are more co-operative than people with any of the social exclusion risk factors.  However, rehabilitation programs supporting people to actively participate to the society and help their entry or return to the labour market are found to increase survey co-operation.  We demonstrate that a single model oversimplifies the survey participation in a survey with multiple data collection phases. We show that the interviewer effect in face-to-face interviewing survey may impact participation at further data collection components, which by survey design are independent from the presence of the interviewers.  Finally, we illustrate that the survey estimates can be improved, if the survey non-response propensity weighting is accounted for depending also on the characteristics and perceptions of the interviewers. This finding shows that the interviewer effect can contaminate the obtained survey information not only at individual level, but also at the level population distributions for the survey estimates.

Text
1117483.pdf - Version of Record
Available under License University of Southampton Thesis Licence.
Download (6MB)

More information

Published date: 2006

Identifiers

Local EPrints ID: 466317
URI: http://eprints.soton.ac.uk/id/eprint/466317
PURE UUID: 25c828e3-4aca-4aab-998d-2f830481b30e

Catalogue record

Date deposited: 05 Jul 2022 05:10
Last modified: 16 Mar 2024 20:38

Export record

Contributors

Author: Petra Marjut Johanna Laiho

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.

×