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The effects of mixed mode survey designs on simple and complex analyses

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  • Lynn, Peter
  • Peter, Martin

Abstract

We compare two alternative mixed mode survey designs with face-to-face data collection in terms of differences in estimates. Both mixed mode designs involve face-to-face, telephone and web interviewing. One design uses modes sequentially; the other offers respondents an explicit choice of mode. All three samples are probability samples of the Dutch population, selected from the same frame in the same way and administered the same survey instrument, namely the questionnaire of round 4 of the European Social Survey. We find differences and consequently urge caution in comparing estimates based on data collected using different (mixes of) modes.

Suggested Citation

  • 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.
    • Handle: RePEc:ese:iserwp:2011-28
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    File URL: https://www.iser.essex.ac.uk/wp-content/uploads/files/working-papers/iser/2011-28.pdf
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    1. 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.
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    Cited by:

    1. Mackeben, Jan, 2020. "Mode Effects in the Fourth Wave of the Linked Personnel Panel (LPP) Employee Survey," FDZ Methodenreport 202005_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. 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.
    3. 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.
    4. Lynn, Peter, 2012. "Mode-switch protocols: how a seemingly small design difference can affect attrition rates and attrition bias," ISER Working Paper Series 2012-28, Institute for Social and Economic Research.
    5. Giorgio Piccitto & Aart C. Liefbroer & Tom Emery, 2022. "Does the Survey Mode Affect the Association Between Subjective Well-being and its Determinants? An Experimental Comparison Between Face-to-Face and Web Mode," Journal of Happiness Studies, Springer, vol. 23(7), pages 3441-3461, October.
    6. repec:iab:iabfme:202005(en is not listed on IDEAS
    7. de Vitiis Claudia & Guandalini Alessio & Inglese Francesca & Terribili Marco D., 2021. "Assessing and Adjusting Bias Due to Mixed-Mode in Aspect of Daily Life Survey," Journal of Official Statistics, Sciendo, vol. 37(2), pages 461-480, June.
    8. Romina Gambacorta & Martina Lo Conte & Manuela Murgia & Andrea Neri & Roberta Rizzi & Francesca Zanichelli, 2018. "Mind the mode: lessons from a web survey on household finances," Questioni di Economia e Finanza (Occasional Papers) 437, Bank of Italy, Economic Research and International Relations Area.
    9. Kavonius, Ilja Kristian & Honkkila, Juha, 2013. "Micro and macro analysis on household income, wealth and saving in the euro area," Working Paper Series 1619, European Central Bank.

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