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Web-Face-to-Face Mixed-Mode Design in a Longitudinal Survey: Effects on Participation Rates, Sample Composition, and Costs

Author

Listed:
  • Bianchi Annamaria
  • Biffignandi Silvia

    (Department of Management, Economics and Quantitative Methods, University of Bergamo, via dei Caniana 2, 24127Bergamo, Italy.)

  • Lynn Peter

    (Institute for Social and Economic Research, University of Essex, Wivenhoe Park, Colchester, Essex C04 3SQ, United Kingdom of Great Britain and Northern Ireland.)

Abstract

Sequential mixed-mode designs are increasingly considered as an alternative to interviewer-administered data collection, allowing researchers to take advantage of the benefits of each mode. We assess the effects of the introduction of a sequential web-face-to-face mixed-mode design over three waves of a longitudinal survey in which members were previously interviewed face-to-face. Findings are reported from a large-scale randomised experiment carried out on the UK Household Longitudinal Study. No differences are found between the mixed-mode design and face-to-face design in terms of cumulative response rates and only minimal differences in terms of sample composition. On the other hand, potential cost savings are evident.

Suggested Citation

  • Bianchi Annamaria & Biffignandi Silvia & Lynn Peter, 2017. "Web-Face-to-Face Mixed-Mode Design in a Longitudinal Survey: Effects on Participation Rates, Sample Composition, and Costs," Journal of Official Statistics, Sciendo, vol. 33(2), pages 385-408, June.
  • Handle: RePEc:vrs:offsta:v:33:y:2017:i:2:p:385-408:n:5
    DOI: 10.1515/jos-2017-0019
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    References listed on IDEAS

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    1. Lynn, Peter & Peter, Martin, 2011. "The effects of mixed mode survey designs on simple and complex analyses," ISER Working Paper Series 2011-28, Institute for Social and Economic Research.
    2. Lynn, Peter & Uhrig, S.C. Noah & Burton, Jonathan, 2010. "Lessons from a randomised experiment with mixed-mode designs for a household panel survey," Understanding Society Working Paper Series 2010-03, Understanding Society at the Institute for Social and Economic Research.
    3. Lynn, Peter, 2009. "Sample design for Understanding Society," Understanding Society Working Paper Series 2009-01, Understanding Society at the Institute for Social and Economic Research.
    4. Nicole Watson & Mark Wooden, 2014. "Re-engaging with survey non-respondents: evidence from three household panels," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 177(2), pages 499-522, February.
    5. Noah Uhrig, S.C., 2008. "The nature and causes of attrition in the British Household Panel Study," ISER Working Paper Series 2008-05, Institute for Social and Economic Research.
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    Cited by:

    1. Grimaccia Elena & Gallo Gerardo & Cecconi Novella & Fratoni Alessandro & Naccarato Alessia, 2023. "Characteristics of Respondents to Web-Based or Traditional Interviews in Mixed-Mode Surveys. Evidence from the Italian Permanent Population Census," Journal of Official Statistics, Sciendo, vol. 39(1), pages 1-26, March.
    2. Joseph W. Sakshaug & Jonas Beste & Mark Trappmann, 2023. "Effects of mixing modes on nonresponse and measurement error in an economic panel survey," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 57(1), pages 1-16, December.
    3. Peter Lynn & Pablo Cabrera‐Álvarez & Paul Clarke, 2023. "Sample composition and representativeness on Understanding Society," Fiscal Studies, John Wiley & Sons, vol. 44(4), pages 341-359, December.
    4. Rolf Becker, 2022. "The effects of a special sequential mixed-mode design, and reminders, on panellists’ participation in a probability-based panel study," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(1), pages 259-284, February.
    5. Annamaria Bianchi & Silvia Biffignandi, 2019. "Social Indicators to Explain Response in Longitudinal Studies," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(3), pages 931-957, February.

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