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Does survey experience affect respondents’ reported level of satisfaction?

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  • André Christensen
  • Jacob Ladenburg

Abstract

Web surveys are becoming an indispensable tool for quantitative researchers, and online survey panels have proliferated in recent years. However, little research has addressed the challenges of using online panels, namely the potential effects of respondents’ survey experience, also known as panel conditioning. This paper is based on a study of Danish parents’ day care arrangements and their associated level of satisfaction. A survey was conducted through an online panel and included measurements of past survey participation. Through tests of independence on key variables and the application of various ordered logit models, we find no significant evidence that survey experience affects respondents’ reported level of satisfaction. These results persist when testing the potential interaction between survey experience and experiences with day care services. Furthermore, we relate our results to the existing literature and discuss the possibility of different effects cancelling each other out. This leads us to recommendations on the use of online panels and suggestions for elaboration in future research. Copyright Springer Science+Business Media B.V. 2013

Suggested Citation

  • André Christensen & Jacob Ladenburg, 2013. "Does survey experience affect respondents’ reported level of satisfaction?," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(5), pages 2659-2669, August.
    • Handle: RePEc:spr:qualqt:v:47:y:2013:i:5:p:2659-2669
    DOI: 10.1007/s11135-012-9678-3
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    1. Unknown, 2005. "Forward," 2005 Conference: Slovenia in the EU - Challenges for Agriculture, Food Science and Rural Affairs, November 10-11, 2005, Moravske Toplice, Slovenia 183804, Slovenian Association of Agricultural Economists (DAES).
    2. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, Enero-Abr.
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