Skip to main content

POLIS

  • Home
  • About
    • Annual report
  • People
    • Director
    • Management committee
    • Staff
    • Adjuncts
    • Visitors
    • Current HDR students
    • Scientific Advisory Board
  • Events
    • CSRM Seminar series
    • Citizen Social series
    • Conferences & workshops
      • Past conferences & workshops
  • News
    • In the media
  • ASPA
    • 2025 Australian Social Policy HDR Conference
    • Australian Journal of Social issues
    • Australian Social Policy Conference
    • Contact us
  • WAPOR
  • Education & training
    • POLIS Courses on offer
    • Undergraduate programs
    • Graduate programs
    • Honours
    • Higher degree by research
    • Executive courses
  • Programs & research
    • Australian Data Archive
    • Criminology
    • Centre for Gambling Research
      • Current projects
      • Past projects & outcomes
      • Media & Resources
    • Research Methods
    • PolicyMod
    • Social Policy
    • Surveys
      • ANUPoll
        • Methodologya
        • Contact ANUpoll
    • Evaluations
    • Transnational Research Institute on Corruption
      • TRIC Award for Anti-Corruption Research
      • The Corruption Agenda
      • Anti-corruption conferences and forums
      • Research
      • Corruption Studies
      • Resources
      • Contact us
    • Research projects
      • Manning cost-benefit tool
      • Routledge Wellbeing Handbook
      • SOAR
      • QRN
      • NT Gambling project
      • FaCtS Study
      • PELab
      • Evaluation of Narragunnawali
      • OxCGRT Australian Subnational dataset
      • Post Separation Parenting Apps
  • Publications
    • Working papers
    • Methods research papers
    • COVID-19 publications
    • Other publications
  • Contact us

Related Sites

  • ANU College of Arts & Social Sciences
  • Research School of Social Sciences
  • Australian National Internships Program
  • ANU Jobs

Administrator

Breadcrumb

HomePublicationsMeasuring Social Attitudes With Voter Advice Application Data
Measuring social attitudes with voter advice application data
Measuring social attitudes with voter advice application data
Author/editor: Sheppard, Jill
Published in (Monograph or Journal): CSRM Methods Series
Publisher: Centre for Social Research and Methods
Year published: 2018
Issue no.: 3/2018

Abstract

This study directly compares survey data on social attitudes collected from an opt-in sample of voter advice application (VAA) users and a randomly recruited, probability-based online panel of respondents. Whereas much research to date has focused on the demographic representativeness of VAA-generated data, less is known about the attitudinal and other representativeness of these data. The findings from these Australian samples contribute to the emerging international literature.

VAAs are proliferating as a source of ‘big data’ among public opinion and political science researchers, despite concerns about the representativeness of the opt-in samples. During July 2016, VAA developer Election Compass collected email address details for approximately 40 000 Australian users of its application in the weeks before the 2016 Australian federal election. In November 2016, this study surveyed the sample of VAA users on their attitudes towards a range of Australian social issues. In December 2016, the same questionnaire was administered to a probability-based sample, using an identical mode of administration and similar response maximisation techniques. The questionnaire contains a broad range of questions designed to identify dimensions of sociopolitical attitudes in Australian society. Comparing the composition of dimensions and relationships between variables within the data contributes to our understanding of incidental samples such as VAA users, and the extent to which we can and should make inferences from VAA-generated data.

Comparison of point estimates of the unweighted and weighted datasets, and of estimates of the internal relationships between variables within both datasets suggests that VAA user data should not be considered externally valid sources of social attitude data, even after adjustment. Further, researchers and reviewers should use greater caution when adjusting VAA user data on the basis of observable measures (with well-established population parameter estimates) to explain unobservable measures without robust population parameter estimates (such as social attitudes).

File attachments

AttachmentSize
CSRM_MP3_2018_MEASURING_SOCIAL_ATTITUDES.pdf(853.62 KB)853.62 KB