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Weighting Strategies for Combining Data from Dual-Frame Telephone Surveys: Emerging Evidence from Australia

Author

Listed:
  • Baffour Bernard

    (The University of Queensland - Institute for Social Science Research, Building 39A Campbell Road St Lucia, Brisbane, Queensland, 4067, Australia.)

  • Haynes Michele

    (The University of Queensland - Institute for Social Science Research, Building 39A Campbell Road St Lucia, Brisbane, Queensland, 4067, Australia.)

  • Western Mark

    (The University of Queensland - Institute for Social Science Research, Building 39A Campbell Road St Lucia, Brisbane, Queensland, 4067, Australia.)

  • Pennay Darren

    (Australian National University - Australian Centre for Applied Social Research Methods, Canberra, Australian Capital Territory, Australia.)

  • Misson Sebastian

    (The Social Research Centre - Research Methodology, Melbourne, Victoria, Australia.)

  • Martinez Arturo

    (The University of Queensland - Institute for Social Science Research, Building 39A Campbell Road St Lucia, Brisbane, Queensland, 4067, Australia.)

Abstract

Until quite recently, telephone surveys have typically relied on landline telephone numbers. However, with the increasing popularity and affordability of mobile phones, there has been a surge in households that do not have landline connections. Additionally, there has been a decline in the response rates and population coverage of landline telephone surveys, creating a challenge to collecting representative social data. Dual-frame telephone surveys that use both landline and mobile phone sampling frames can overcome the incompleteness of landline-only telephone sampling. However, surveying mobile phone users introduces new complexities in sampling, nonresponse measurement and statistical weighting. This article examines these issues and illustrates the consequences of failing to include mobile-phone-only users in telephone surveys using data from Australia. Results show that there are significant differences in estimates of populations’ characteristics when using information solely from the landline or mobile telephone sample. These biases in the population estimates are significantly reduced when data from the mobile and landline samples are combined and appropriate dual-frame survey estimators are used. The optimal choice of a dual-frame estimation strategy depends on the availability of good-quality information that can account for the differential patterns of nonresponse by frame.

Suggested Citation

  • Baffour Bernard & Haynes Michele & Western Mark & Pennay Darren & Misson Sebastian & Martinez Arturo, 2016. "Weighting Strategies for Combining Data from Dual-Frame Telephone Surveys: Emerging Evidence from Australia," Journal of Official Statistics, Sciendo, vol. 32(3), pages 549-578, September.
    • Handle: RePEc:vrs:offsta:v:32:y:2016:i:3:p:549-578:n:1
    DOI: 10.1515/jos-2016-0029
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    References listed on IDEAS

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    1. Britta Busse & Marek Fuchs, 2012. "The components of landline telephone survey coverage bias. The relative importance of no-phone and mobile-only populations," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(4), pages 1209-1225, June.
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    3. Sonia Akter & Jeff Bennett, 2011. "Household perceptions of climate change and preferences for mitigation action: the case of the Carbon Pollution Reduction Scheme in Australia," Climatic Change, Springer, vol. 109(3), pages 417-436, December.
    4. Prepared for AAPOR Council by the Cell Phone Task Force operating under the auspices of the AAPOR Standards Committee of which John Hall is a member, 2010. "New Considerations for Survey Researchers When Planning and Conducting RDD Telephone Surveys in the US with Respondents Reached Via Cell Phone Numbers," Mathematica Policy Research Reports 23c89114b85e4baf9cea146d3, Mathematica Policy Research.
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