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Response Burden – Review and Conceptual Framework

Author

Listed:
  • Yan Ting

    (, Westat, 1600 Research Blvd, Rockville, MD 20850, U.S.A.)

  • Williams Douglas

    (U.S. Bureau of Labor Statistics, 2 Massachusetts Ave. NE, Washington D.C. 20212, U.S.A.)

Abstract

Concerns about the burden that surveys place on respondents have a long history in the survey field. This article reviews existing conceptualizations and measurements of response burden in the survey literature. Instead of conceptualizing response burden as a one-time overall outcome, we expand the conceptual framework of response burden by positing response burden as reflecting a continuous evaluation of the requirements imposed on respondents throughout the survey process. We specifically distinguish response burden at three time points: initial burden at the time of the survey request, cumulative burden that respondents experience after starting the interview, and continuous burden for those asked to participate in a later round of interviews in a longitudinal setting. At each time point, survey and question features affect response burden. In addition, respondent characteristics can affect response burden directly, or they can moderate or mediate the relationship between survey and question characteristics and the end perception of burden. Our conceptual framework reflects the dynamic and complex interactive nature of response burden at different time points over the course of a survey. We show how this framework can be used to explain conflicting empirical findings and guide methodological research.

Suggested Citation

  • Yan Ting & Williams Douglas, 2022. "Response Burden – Review and Conceptual Framework," Journal of Official Statistics, Sciendo, vol. 38(4), pages 939-961, December.
  • Handle: RePEc:vrs:offsta:v:38:y:2022:i:4:p:939-961:n:9
    DOI: 10.2478/jos-2022-0041
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    References listed on IDEAS

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    1. Corinna Kleinert & Bernhard Christoph & Michael Ruland, 2021. "Experimental Evidence on Immediate and Long-term Consequences of Test-induced Respondent Burden for Panel Attrition," Sociological Methods & Research, , vol. 50(4), pages 1552-1583, November.
    2. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    3. Marco Bottone & Lucia Modugno & Andrea Neri, 2018. "Response burden and data quality in business surveys: the experience of Banca d'Italia," Questioni di Economia e Finanza (Occasional Papers) 467, Bank of Italy, Economic Research and International Relations Area.
    4. Mick P. Couper & Frauke Kreuter, 2013. "Using paradata to explore item level response times in surveys," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(1), pages 271-286, January.
    Full references (including those not matched with items on IDEAS)

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