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Guidelines for the use of household interview duration analysis in CAPI survey management

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  • Böhme, Marcus
  • Stöhr, Tobias

Abstract

This paper provides evidence based guidance for practical survey work, namely choosing interviewers and their workload. Analyzing a survey of 3568 households obtained through computer assisted personal interviews (CAPI) we find that interviewers learn considerably while the survey progresses. Time requirements for field work increase concavely with sample size which allows larger samples to be realized with a given budget than would be expected in planning such projects with simplistic cost estimates. We find a decrease of interview duration of almost 50 percent which translates into a significant increase of the average hourly wage the interviewers receive. These learning effects cease after around 20 interviews. Based on our results we recommend targeting interviewer training by age and technology-affinity of interviewers for CAPI surveys.

Suggested Citation

  • Böhme, Marcus & Stöhr, Tobias, 2012. "Guidelines for the use of household interview duration analysis in CAPI survey management," Kiel Working Papers 1779, Kiel Institute for the World Economy (IfW Kiel).
    • Handle: RePEc:zbw:ifwkwp:1779
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    References listed on IDEAS

    as
    1. Caeyers, Bet & Chalmers, Neil & De Weerdt, Joachim, 2012. "Improving consumption measurement and other survey data through CAPI: Evidence from a randomized experiment," Journal of Development Economics, Elsevier, vol. 98(1), pages 19-33.
    2. Robert M. Groves & Steven G. Heeringa, 2006. "Responsive design for household surveys: tools for actively controlling survey errors and costs," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(3), pages 439-457, July.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    household surveys; CAPI; learning curves; interview duration; survey planning;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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