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The Representativeness of Online Time Use Surveys. Effects of Individual Time Use Patterns and Survey Design on the Timing of Survey Dropout

Author

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  • te Braak Petrus

    (Vrije Universiteit Brussel, Department of Sociology, Research Group Tempus Omnia Revelat (TOR), Pleinlaan 2, 1050Brussels, Belgium.)

  • Minnen Joeri

    (Vrije Universiteit Brussel, Department of Sociology, Research Group Tempus Omnia Revelat (TOR), Pleinlaan 2, 1050Brussels, Belgium.)

  • Glorieux Ignace

    (Vrije Universiteit Brussel, Department of Sociology, Research Group Tempus Omnia Revelat (TOR), Pleinlaan 2, 1050Brussels, Belgium.)

Abstract

Like other surveys, time use surveys are facing declining response rates. At the same time paper-and-pencil surveys are increasingly replaced by online surveys. Both the declining response rates and the shift to online research are expected to have an impact on the representativeness of survey data questioning whether they are still the most suitable instrument to obtain a reliable view on the organization of daily life. This contribution examines the representativeness of a self-administered online time use survey using Belgian data collected in 2013 and 2014. The design of the study was deliberately chosen to test the automated processes that replace interviewer support and its cost-efficiency. We use weighting coefficients, a life table and discrete-time survival analyses to better understand the timing and selectivity of dropout, with a focus on the effects of individual time use patterns and the survey design. The results show that there are three major hurdles that cause large groups of respondents to drop out. This dropout is selective, and this selectivity differs according to the dropout moment. The contribution aims to provide a better insight in dropout during the fieldwork and tries to contribute to the further improvement of survey methodology of online time use surveys.

Suggested Citation

  • te Braak Petrus & Minnen Joeri & Glorieux Ignace, 2020. "The Representativeness of Online Time Use Surveys. Effects of Individual Time Use Patterns and Survey Design on the Timing of Survey Dropout," Journal of Official Statistics, Sciendo, vol. 36(4), pages 887-906, December.
    • Handle: RePEc:vrs:offsta:v:36:y:2020:i:4:p:887-906:n:7
    DOI: 10.2478/jos-2020-0042
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    References listed on IDEAS

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    1. Katharine G. Abraham & Aaron Maitland & Suzanne M. Bianchi, 2006. "Non-response in the American Time Use Survey: Who Is Missing from the Data and How Much Does It Matter?," NBER Technical Working Papers 0328, National Bureau of Economic Research, Inc.
    2. Joeri Minnen, 2014. "Modular Online Time Use Survey (MOTUS) – Translating an existing method in the 21st century," electronic International Journal of Time Use Research, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)) and The International Association for Time Use Research (IATUR), vol. 11(1), pages 73-93, December.
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