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How many days? A comparison of the quality of time-use data from 2-day and 7-day diaries

Author

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  • Ignace Glorieux

    (Vrije Universiteit Brussel Sociology Department)

  • Joeri Minnen

    (Vrije Universiteit Brussel Sociology Department)

Abstract

Time budget studies differ in the number of diary days. The ‘Guidelines on Harmonized European Time-Use Surveys (HETUS)’ issued by EUROSTAT recommend a two-day diary with both one weekday and one weekend day. In this contribution we examine whether the number of diary days has an effect on the quality of timeuse indicators. A lot of time-use researchers plead for a longer period of observation; some of them even argue that one- or two-day diaries are not very valuable since the high demands of scientific research cannot be accomplished unless multi-day cycles are captured. Longer periods of observation offer better prospects for analyses, especially for the study of rhythms and activity patterns which typically follow cycles of multi-day duration, and which are part of daily life. Other authors however point out that longer periods of observation cause fatigue or diminished motivation and thus will lead to more inaccuracies. In this contribution we use the pooled Flemish time budget data from 1999 and 2004 to compare 7-day diaries with the 2-day diaries as recommended by the EUROSTAT-guidelines. The respondents of the Flemish time use surveys all filled in diaries for 7 consecutive days. To simulate the 2-day registration, we randomly selected one weekday and one weekend day for each respondent. The 2-day selection was compared with the original 7-day registration. The aim of this comparison is to inventory the advantages and disadvantages of the 2-day and 7-day registration method. To do that, we compare different indicators, such as the averages and the standard deviations of the duration of several activities. We further examine whether certain types of activities are more affected by the method of registration than others. Finally we examine whether a longer period of registration negatively affects the quality of the data (less detail and less accurate).

Suggested Citation

  • Ignace Glorieux & Joeri Minnen, 2009. "How many days? A comparison of the quality of time-use data from 2-day and 7-day diaries," 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. 6(2), pages 314-327, September.
  • Handle: RePEc:leu:journl:2009:vol6:issue2:p314-327
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    References listed on IDEAS

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    1. Jonathan Gershuny & John Robinson, 1988. "Historical changes in the household division of labor," Demography, Springer;Population Association of America (PAA), vol. 25(4), pages 537-552, November.
    2. Kay Axhausen & Andrea Zimmermann & Stefan Schönfelder & Guido Rindsfüser & Thomas Haupt, 2002. "Observing the rhythms of daily life: A six-week travel diary," Transportation, Springer, vol. 29(2), pages 95-124, May.
    3. Andrew Harvey, 1993. "Guidelines for time use data collection," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 30(2), pages 197-228, November.
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    Cited by:

    1. 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.
    2. Duncan Ironmonger & Faye Soupourmas, 2009. "Estimating household production outputs with time use episode data," 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. 6(2), pages 240-268, September.
    3. Jiri Zuzanek, 2009. "Time use research in Canada – History,critique, perspectives," 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. 6(2), pages 178-192, September.
    4. Na Ta & Mei-Po Kwan & Yanwei Chai & Zhilin Liu, 2016. "Gendered Space-Time Constraints, Activity Participation and Household Structure: A Case Study Using A GPS-Based Activity Survey in Suburban Beijing, China," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 107(5), pages 505-521, December.
    5. William Michelson, 2009. "Variations in the rational use of time – The travel pulse of commutes between home and job," 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. 6(2), pages 269-285, September.
    6. Jara-Díaz, Sergio & Rosales-Salas, Jorge, 2015. "Understanding time use: Daily or weekly data?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 76(C), pages 38-57.
    7. John P. Robinson & Andrew Caporaso, 2009. "Senioritis in repose," 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. 6(2), pages 306-313, September.
    8. Jonathan Gershuny, 2009. "Harvey’s hypercodes and the “Propogram” – More than 24 hours per day?," 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. 6(2), pages 193-199, September.
    9. Florian Aschauer & Inka Rösel & Reinhard Hössinger & Heinz Brian Kreis & Regine Gerike, 2019. "Time use, mobility and expenditure: an innovative survey design for understanding individuals’ trade-off processes," Transportation, Springer, vol. 46(2), pages 307-339, April.
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    More about this item

    Keywords

    Time-budget studies; time-use indicators; methodology;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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