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Adjusted Wald Confidence Interval for a Difference of Binomial Proportions Based on Paired Data

Author

Listed:
  • Douglas G. Bonett

    (Iowa State University)

  • Robert M. Price

    (East Tennessee State University)

Abstract

Adjusted Wald intervals for binomial proportions in one-sample and two-sample designs have been shown to perform about as well as the best available methods. The adjusted Wald intervals are easy to compute and have been incorporated into introductory statistics courses. An adjusted Wald interval for paired binomial proportions is proposed here and is shown to perform as well as the best available methods. A sample size planning formula is presented that should be useful in an introductory statistics course.

Suggested Citation

  • Douglas G. Bonett & Robert M. Price, 2012. "Adjusted Wald Confidence Interval for a Difference of Binomial Proportions Based on Paired Data," Journal of Educational and Behavioral Statistics, , vol. 37(4), pages 479-488, August.
    • Handle: RePEc:sae:jedbes:v:37:y:2012:i:4:p:479-488
    DOI: 10.3102/1076998611411915
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    References listed on IDEAS

    as
    1. Quinn McNemar, 1947. "Note on the sampling error of the difference between correlated proportions or percentages," Psychometrika, Springer;The Psychometric Society, vol. 12(2), pages 153-157, June.
    2. Price, Robert M. & Bonett, Douglas G., 2004. "An improved confidence interval for a linear function of binomial proportions," Computational Statistics & Data Analysis, Elsevier, vol. 45(3), pages 449-456, April.
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