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Modular Online Time Use Survey (MOTUS) – Translating an existing method in the 21st century

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  • Joeri Minnen

    (Sociology Department, Research Group TOR, Vrije Universiteit Brussel)

Abstract

Time-use surveys are internationally highly valued methods for capturing daily behaviour. Their combination of questionnaires and paper-and-pencil time-diaries (among others in Europe) or telephone interview yesterday-method (in USA) through which respondents (re)construct their daily activities (i.e. what and when) together with contextual information (i.e. with whom and where) is both its strength as well as its weakness. This weakness stems from the high (personnel) costs involved in conducting time-use surveys, costs that can largely be reduced by switching to an online method. However, recent experimenting with online time-use surveys a) jeopardizes the hard work of harmonizing international time-use surveys and b) never truly copied or implemented the methodology of the paper-and-pencil time diaries let alone added additional features that improve the ‘old’ method. After having received a substantial grant we took the challenge to translate this existing method to an online method a) without loosing its strengths, b) with adding additional features that enrich the data even more, and c) with automated processes that reduce personnel and processing costs. In this contribution we a) reveal our method and its modular design and automated processes, b) provide preliminary results of the quality and response of the population pilot study, c) evaluate our effort, d) challenge others to comment and collaborate on our methodology in order to end up with a (new) standardized methodology for online diary studies that allows cross-national comparisons, and e) reflect on future possibilities and initiatives that serve the imminent online diary methodology.

Suggested Citation

  • 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.
  • Handle: RePEc:leu:journl:2014:vol11:issue1:p73-93
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    Cited by:

    1. Minnen, Joeri & Glorieux, Ignace & van Tienoven, Theun Pieter, 2015. "Transportation habits: Evidence from time diary data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 76(C), pages 25-37.
    2. Stella Chatzitheochari & Kimberly Fisher & Emily Gilbert & Lisa Calderwood & Tom Huskinson & Andrew Cleary & Jonathan Gershuny, 2018. "Using New Technologies for Time Diary Data Collection: Instrument Design and Data Quality Findings from a Mixed-Mode Pilot Survey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(1), pages 379-390, May.
    3. Daum, T. & Birner, R. & Buchwald, H. & Gerlicher, A., 2018. "Times have changed. Using a Pictorial Smartphone App to Collect Time Use Data in Rural Zambia," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277076, International Association of Agricultural Economists.
    4. 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.
    5. Daum, Thomas & Buchwald, Hannes & Gerlicher, Ansgar & Birner, Regina, 2018. "Using A Smartphone App To Collect Data On Smallholder Farming Systems In Zambia," 58th Annual Conference, Kiel, Germany, September 12-14, 2018 275839, German Association of Agricultural Economists (GEWISOLA).
    6. Bigoni, Maria & Bortolotti, Stefania & Fort, Margherita & Guarini, Annalisa & Iorio, Daniela & Monfardini, Chiara & Sansavini, Alessandra & Sansone, Davide & Suttora, Chiara, 2023. "A New Time-Use Diary App to Measure Parental Investments," IZA Discussion Papers 16661, Institute of Labor Economics (IZA).
    7. Minnen Joeri & Rymenants Sven & Glorieux Ignace & Tienoven Theun Pieter van, 2023. "Answering Current Challenges of and Changes in Producing Official Time Use Statistics Using the Data Collection Platform MOTUS," Journal of Official Statistics, Sciendo, vol. 39(4), pages 489-505, December.

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    More about this item

    Keywords

    Time-use survey; online methodology; time-diary standardization; modular design;
    All these keywords.

    JEL classification:

    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

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