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Interview completed: the application of survival analysis to detect factors influencing response rates in online surveys

Author

Listed:
  • Ákos Münnich

    (University of Debrecen)

  • Mátyás Kocsis

    (DataExpert Services Ltd
    University of Debrecen)

  • Mark C. Mainwaring

    (Bangor University)

  • István Fónagy

    (DataExpert Services Ltd)

  • Jenő Nagy

    (DataExpert Services Ltd
    University of Debrecen)

Abstract

Marketing interviews are widely used to acquire information on the behaviour, satisfaction, and/or needs of customers. Although online surveys are broadly available, one of the major challenges is to collect high-quality data, which is fundamental for marketing. Since online surveys are mostly unsupervised, the possibility of providing false answers is high, and large numbers of participants do not finish interviews, yet our understanding of the reasons behind this pattern remains unclear. Here, we examined the possible factors influencing response rates and aimed to investigate the impact of technical and demographic information on the probability of interview completion rates of multiple surveys. We applied survival analysis and proportional hazards models to statistically evaluate the associations between the probability of survey completion and the technical and demographic information of the respondents. More complex surveys had lower completion probabilities, although survey completion was increased when respondents used desktop computers and not mobile devices, and when surveys were translated to their native language. Meanwhile, age and gender did not influence completion rates, but the pool of respondents invited to complete the survey did affect completion rates. These findings can be used to improve online surveys to achieve higher completion rates and collect more accurate data.

Suggested Citation

  • Ákos Münnich & Mátyás Kocsis & Mark C. Mainwaring & István Fónagy & Jenő Nagy, 2025. "Interview completed: the application of survival analysis to detect factors influencing response rates in online surveys," Journal of Marketing Analytics, Palgrave Macmillan, vol. 13(1), pages 202-217, March.
    • Handle: RePEc:pal:jmarka:v:13:y:2025:i:1:d:10.1057_s41270-023-00282-y
    DOI: 10.1057/s41270-023-00282-y
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    References listed on IDEAS

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    1. Bing Pan & Wayne W. Smith & Stephen W. Litvin & Yulan Yuan & Arch Woodside, 2022. "Ethnic bias and design factors impact response rates of online travel surveys," Journal of Global Scholars of Marketing Science, Taylor & Francis Journals, vol. 32(2), pages 129-144, April.
    2. Martine Selm & Nicholas Jankowski, 2006. "Conducting Online Surveys," Quality & Quantity: International Journal of Methodology, Springer, vol. 40(3), pages 435-456, June.
    3. Elisabeth Deutskens & Ko de Ruyter & Martin Wetzels & Paul Oosterveld, 2004. "Response Rate and Response Quality of Internet-Based Surveys: An Experimental Study," Marketing Letters, Springer, vol. 15(1), pages 21-36, February.
    4. Takumi Kato & Taro Miura, 2021. "The impact of questionnaire length on the accuracy rate of online surveys," Journal of Marketing Analytics, Palgrave Macmillan, vol. 9(2), pages 83-98, June.
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