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The impact of mobile phones on survey measurement error

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  • Lynn, Peter
  • Kaminska, Olena

Abstract

Mobile phone survey interviewing is becoming increasingly prevalent, so it is important to understand how it affects measurement error. We link cognitive response process theory (Tourangeau et al 2000) to theories of mode effects to build a comprehensive framework that identifies ways in which the different context of mobile interviews and differences inherent in the technology can influence survey responses. We evaluate elements of the framework using data from a randomised experiment in which respondents were assigned to be interviewed either by mobile or fixed phone and in which relevant measures of interview context were gathered. Our findings address causes of survey error resulting from mode of data collection, both in general and in the specific context of mobile phones. We also outline needed future research.

Suggested Citation

  • Lynn, Peter & Kaminska, Olena, 2011. "The impact of mobile phones on survey measurement error," ISER Working Paper Series 2011-07, Institute for Social and Economic Research.
    • Handle: RePEc:ese:iserwp:2011-07
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    File URL: https://www.iser.essex.ac.uk/wp-content/uploads/files/working-papers/iser/2011-07.pdf
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    References listed on IDEAS

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    1. repec:mpr:mprres:6828 is not listed on IDEAS
    2. Lynn, Peter & Jäckle, Annette & Roberts, Caroline, 2006. "Telephone versus face-to-face interviewing: mode effects on data quality and likely causes: report on phase II of the ESS-Gallup mixed mode methodology project," ISER Working Paper Series 2006-41, Institute for Social and Economic Research.
    3. Mario Callegaro & Charlotte Steeh & Trent D. Buskirk & Vasja Vehovar & Vesa Kuusela & Linda Piekarski, 2007. "Fitting disposition codes to mobile phone surveys: experiences from studies in Finland, Slovenia and the USA," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(3), pages 647-670, July.
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    Cited by:

    1. Rein Ahas & Harvey J. Miller & Frank Witlox, 2014. "From the Guest Editors: Mobility, Communication, and Urban Space," Journal of Urban Technology, Taylor & Francis Journals, vol. 21(2), pages 1-7, April.
    2. Croke,Kevin & Dabalen, Andrew & Demombynes, Gabriel & Giugale, Marcelo & Hoogeveen, Johannes, 2013. "Collecting High-Frequency Data Using Mobile Phones: Do Timely Data Lead to Accountability?," World Bank - Economic Premise, The World Bank, issue 102, pages 1-5, January.
    3. Lynn, Peter & Jäckle, Annette & Hope, Steven & C. Campanelli, Pamela & Nicolaas, Gerry, 2012. "Effects of visual and aural communication of categorical response options on answers to survey questions," ISER Working Paper Series 2012-21, Institute for Social and Economic Research.
    4. Kevin Croke & Andrew Dabalen & Gabriel Demombynes & Marcelo Giugale & Johannes Hoogeveen, 2013. "Collecting High-Frequency Data Using Mobile Phones : Do Timely Data Lead to Accountability?," World Bank Publications - Reports 17046, The World Bank Group.
    5. Cernat, Alexandru, 2013. "The impact of mixing modes on reliability in longitudinal studies," ISER Working Paper Series 2013-09, Institute for Social and Economic Research.
    6. Croke, Kevin & Dabalen, Andrew & Demombynes, Gabriel & Giugale, Marcelo & Hoogeveen, Johannes, 2012. "Collecting high frequency panel data in Africa using mobile phone interviews," Policy Research Working Paper Series 6097, The World Bank.

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