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Workshop Synthesis: Comparing and Combining Survey Modes

Author

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  • Patrick Bonnel

    (LET - Laboratoire d'économie des transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

  • Caroline Bayart

    (SAF - Laboratoire de Sciences Actuarielle et Financière - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon)

  • Brett Smith

    (PATREC - Planning and Transport Research Centre)

Abstract

This paper summarizes the discussions held during an in-depth six-hour workshop on the challenges of combining data from different survey modes with the anticipated aim of identifying current research needs. The main theme of the workshop was mixing survey modes as a way to meet the challenge of low response rates. However, the use of multi-mode surveys introduces new sources of bias: not all households have access to certain survey media (coverage bias); the response rate using one or another of the survey modes is correlated with social demographics (non-response bias); the sampling frame is dependent on the mode (sampling bias) or the instrument itself may affect the responses (measurement bias). The aim of this report is present the workshop's discussion on the identification of research needs with related to combining data from different survey modes.

Suggested Citation

  • Patrick Bonnel & Caroline Bayart & Brett Smith, 2015. "Workshop Synthesis: Comparing and Combining Survey Modes," Post-Print halshs-01663724, HAL.
    • Handle: RePEc:hal:journl:halshs-01663724
    DOI: 10.1016/j.trpro.2015.12.010
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01663724
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    References listed on IDEAS

    as
    1. Patrick Bonnel, 2003. "Postal, Telephone and Face-to-face Surveys : How Comparable Are They?," Post-Print halshs-00091025, HAL.
    2. Heckman, James J, 1990. "Varieties of Selection Bias," American Economic Review, American Economic Association, vol. 80(2), pages 313-318, May.
    3. Caroline Bayart & Patrick Bonnel & Catherine Morency, 2008. "Survey Mode Integration and Data Fusion: Methods and challenges," Post-Print halshs-00329174, HAL.
    4. Caroline Bayart & Patrick Bonnel, 2012. "Combining web and face-to-face in travel surveys: comparability challenges?," Transportation, Springer, vol. 39(6), pages 1147-1171, November.
    5. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    6. Jean-Loup Madre & Kay Axhausen & Werner Brög, 2007. "Immobility in travel diary surveys," Transportation, Springer, vol. 34(1), pages 107-128, January.
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    Cited by:

    1. Griffin, Greg Phillip & Mulhall, Megan & Simek, Chris & Riggs, William W., 2020. "Mitigating Bias in Big Data for Transportation," SocArXiv trbv9, Center for Open Science.
    2. Fabre, Léa & Bayart, Caroline & Bonnel, Patrick & Mony, Nicolas, 2023. "The potential of Wi-Fi data to estimate bus passenger mobility," Technological Forecasting and Social Change, Elsevier, vol. 192(C).
    3. Christine Eisenmann & Bastian Chlond & Clotilde Minster & Christian Jödden & Peter Vortisch, 2019. "Assessing the effects of a mixed-mode design in a longitudinal household travel survey," Transportation, Springer, vol. 46(5), pages 1737-1753, October.
    4. Centrih Vasilij & Viršček Andrej & Smukavec Andreja & Bučar Nataša & Arnež Marta, 2020. "Mode effect analysis in the case of daily passenger mobility survey," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 6(2), pages 43-57, December.
    5. Aschauer, Florian & Hössinger, Reinhard & Jara-Diaz, Sergio & Schmid, Basil & Axhausen, Kay & Gerike, Regine, 2021. "Comprehensive data validation of a combined weekly time use and travel survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 66-82.
    6. Basa-Martinez, Diana Denise F. & Cabrera, Janet Y. & Dionaldo, LA G. & Orillo, Jonathan Gavino R. & Ramos, Paul John M. & Ocampo, Lanndon A., 2018. "An exploration of a respondent pre-qualifying framework to increase response rates in social media initiated online surveys," Australasian marketing journal, Elsevier, vol. 26(3), pages 239-261.

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