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ANOVA post hock power analysis (non bayes)

Dear all,

I submitted my paper and one of the reviewers ask for the post hock power analysis.

I have 4 independent groups with continuous variable (some of the variable are homoscedastic and some not) so I used Jasp's ANOVA and KRUSAKAL WALLIS to run my analysis with a Tuckey or Dunn Post-hock.

How can I verify the post hock power analysis in Jasp? Do you have any suggestion?

Hope to hear from you soon.. (I have to submit my revision in one week)

Comments

  • Reporting post hoc power is a terrible idea, as the number is just a transformation of the p-value. You can quote me on that. For a critique see

    Hoenig, J. M. and Heisey, D. M. (2001). The abuse of power: The pervasive fallacy of power calculations in data analysis. The American Statistician, 55:19–24

    These authors call the approach "fundamentally flawed".

    Cheers,

    E.J.

  • Thank you EJ for your replay,

    I know what you meant, but if I really would like to insert that to make the reviewer happy and then cite your critique, how can I calculate that?

  • I think you basically do a power analysis using the maximum likelihood estimator as the parameter value under H1, with the same planned sample size you actually had in the experiment. I don't think you can do this in JASP (because I would have put my foot down; we provide p-values but there are boundaries we won't cross).

    Cheers,

    E.J.

  • EJ, you are so helpful,

    do you have any resources which I can look at?

    like online website, programs, youtube videos, articles etc...

  • Hmm this is really not my domain -- I just know of the papers that critiqued the idea. I'd do some Google'ing and feel free to report the results of your search here!

    Cheers,

    E.J.

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