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Optimal Randomized Response Models and Methods for Hypothesis Testing

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  • John W. Carr
  • Leonard A. Marascuilo
  • Patricia Busk

Abstract

This paper reviews several randomized response models for gathering self-report data when persons are asked sensitive questions, and introduces a new general model for reducing the standard error by asking questions conditional upon earlier answers. Hypothesis testing and confidence-interval procedures are demonstrated for data collected by the randomized response technique.

Suggested Citation

  • John W. Carr & Leonard A. Marascuilo & Patricia Busk, 1982. "Optimal Randomized Response Models and Methods for Hypothesis Testing," Journal of Educational and Behavioral Statistics, , vol. 7(4), pages 295-310, December.
    • Handle: RePEc:sae:jedbes:v:7:y:1982:i:4:p:295-310
    DOI: 10.3102/10769986007004295
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