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Introducing Web in a mixed‐mode establishment survey: Effects on nonresponse

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  • Patrick Gleiser
  • Joseph W. Sakshaug
  • Marieke Volkert
  • Peter Ellguth
  • Susanne Kohaut
  • Iris Möller

Abstract

This study reports on a mode design experiment in which a Web starting mode was introduced for the first time in the Institute for Employment Research Establishment Panel. A cross‐sectional sample of establishments was randomized to be interviewed via the traditional face‐to‐face procedure or a Web‐first sequential mixed‐mode design with face‐to‐face follow‐ups. Extensive administrative data were used to estimate and compare nonresponse bias at multiple phases of the sequential mixed‐mode design, and assess the relationship between mode design and establishment characteristics on the likelihood of response. We show that the final response rates and nonresponse bias were similar between both mode designs, but these results contrasted with the results at each phase of the sequential mode design. Larger establishments were significantly more likely to respond in the Web mode compared to the face‐to‐face mode. A moderate cost savings (of about 14% per respondent) was estimated for the Web‐first sequential mode design.

Suggested Citation

  • Patrick Gleiser & Joseph W. Sakshaug & Marieke Volkert & Peter Ellguth & Susanne Kohaut & Iris Möller, 2022. "Introducing Web in a mixed‐mode establishment survey: Effects on nonresponse," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 891-915, July.
    • Handle: RePEc:bla:jorssa:v:185:y:2022:i:3:p:891-915
    DOI: 10.1111/rssa.12809
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    References listed on IDEAS

    as
    1. Hecht, Veronika & Litzel, Nicole & Schäffler, Johannes, 2019. "Unit nonresponse at the firm level: a cross-border analysis using the IAB-ReLOC data," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 53(1), pages 1-2.
    2. Morgan M. Millar & Patricia Schmuhl & Kent Page & Andrea L. Genovesi & Michael Ely & Craig Hemingway & Lenora M. Olson, 2018. "Improving response to an establishment survey through the use of web-push data collection methods," Mathematical Population Studies, Taylor & Francis Journals, vol. 25(3), pages 168-179, July.
    3. Jamie C. Moore & Gabriele B. Durrant & Peter W. F. Smith, 2018. "Data set representativeness during data collection in three UK social surveys: generalizability and the effects of auxiliary covariate choice," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(1), pages 229-248, January.
    4. Christian Seiler, 2010. "Dynamic Modelling of Nonresponse in Business Surveys," ifo Working Paper Series 93, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    5. repec:iab:iabjlr:v:53:i:1:p:art.2 is not listed on IDEAS
    6. repec:iab:iabfme:201104(en is not listed on IDEAS
    7. Mario Bossler & Gregor Geis & Jens Stegmaier, 2018. "Comparing survey data with an official administrative population: assessing sample-selectivity in the IAB Establishment Panel," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 899-920, March.
    8. Hecht, Veronika & Litzel, Nicole & Schäffler, Johannes, 2019. "Unit nonresponse at the firm level: a cross-border analysis using the IAB-ReLOC data," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 53(1), pages .2(1-18).
    9. Veronika Hecht & Nicole Litzel & Johannes Schäffler, 2019. "Unit nonresponse at the firm level: a cross-border analysis using the IAB-ReLOC data," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 53(1), pages 1-18, December.
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