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The Use of Balanced Incomplete Block Designs in Designing Randomized Response Surveys

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  • Narelle F. Smith
  • Deborah J. Street

Abstract

This paper investigates the block total response method proposed by Raghavarao and Federer for providing accurate estimates of the base rates of sensitive characteristics during surveys. It determines the best balanced incomplete block design to use to estimate the base rates for three, four, five and six sensitive attributes respectively, given a maximum total number of 13 questions. The estimates obtained from this method have smaller variance than estimates obtained using the similar, but more popular, unmatched count technique.

Suggested Citation

  • Narelle F. Smith & Deborah J. Street, 2003. "The Use of Balanced Incomplete Block Designs in Designing Randomized Response Surveys," Australian & New Zealand Journal of Statistics, Australian Statistical Publishing Association Inc., vol. 45(2), pages 181-194, June.
    • Handle: RePEc:bla:anzsta:v:45:y:2003:i:2:p:181-194
    DOI: 10.1111/1467-842X.00274
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    Cited by:

    1. Axel Christian Mühlbacher & Anika Kaczynski, 2021. "The Impact of Gastrointestinal Symptoms on Patients’ Well-Being: Best–Worst Scaling (BWS) to Prioritize Symptoms of the Gastrointestinal Symptom Score (GIS)," IJERPH, MDPI, vol. 18(21), pages 1-13, November.

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