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Effect size for non-parametric test

Hi,

I am using Wilcoxon rank sum test for statistical group comparison of connectivity matrices. How should effect size be computed for a non-parametric test such as Wilcoxon? Is this possible in JASP?

Thank you for your help!

Comments

  • Dear pyrj,

    This is also known as the Mann-Whitney test. You can select that, tick "Effect size" and the output table will provide the result; the table footnote will inform you this is "the rank biserial correlation".

    Cheers,

    E.J.

  • Dear E.J.

    Thank you for your answer. I investigated that the rank biserial correlation is for estimating effect size between a dichotomous variable and an ordinal variable. However, my variables are the ranks of edge strengths in the connectivity matrices of two groups, and thus neither is dichotomous. Is this a violation for the rank biserial correlation?

    Best,

    pyrj

  • I don't think so -- the two groups is the dichotomy, and the ranks (of strengths) is the ordinal variable.

    E.J.

  • Now I understand, thank you very much!

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