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What hypotheses do "nonparametric" two-group tests actually test?

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  • Ronan M. Conroy

    (Royal College of Surgeons in Ireland)

Abstract

In this article, I discuss measures of effect size for two-group comparisons where data are not appropriately analyzed by least-squares methods. The Mann–Whitney test calculates a statistic that is a very useful measure of effect size, particularly suited to situations in which differences are measured on scales that either are ordinal or use arbitrary scale units. Both the difference in medians and the median difference between groups are also useful measures of effect size. Copyright 2012 by StataCorp LP.

Suggested Citation

  • Ronan M. Conroy, 2012. "What hypotheses do "nonparametric" two-group tests actually test?," Stata Journal, StataCorp LP, vol. 12(2), pages 182-190, June.
    • Handle: RePEc:tsj:stataj:v:12:y:2012:i:2:p:182-190
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    References listed on IDEAS

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    1. Roger Newson, 1998. "SOMERSD: Stata module to calculate Kendall's tau-a, Somers' D and median differences," Statistical Software Components S336401, Boston College Department of Economics, revised 16 Apr 2020.
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    Cited by:

    1. Sommerland, Nina & Masquillier, Caroline & Rau, Asta & Engelbrecht, Michelle & Kigozi, Gladys & Pliakas, Triantafyllos & Janse van Rensburg, Andre & Wouters, Edwin, 2020. "Reducing HIV- and TB-Stigma among healthcare co-workers in South Africa: Results of a cluster randomised trial," Social Science & Medicine, Elsevier, vol. 266(C).
    2. Jan Hausfeld & Sven Resnjanskij, 2017. "Risky Decisions and the Opportunity Costs of Time," TWI Research Paper Series 108, Thurgauer Wirtschaftsinstitut, Universität Konstanz.

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