Announcement

Collapse
No announcement yet.
X
  • Filter
  • Time
  • Show
Clear All
new posts

  • Non-parametric hypothesis tests

    Hi there,

    I have used non-parametric hypothesis tests (Mann-Whitney-U tests, Kruskall Wallis Test) to determine differences between groups regarding my non-normally distributed continous outcome variable (checklist score) in my thesis. Those examples of my codes:
    Code:
    ranksum checklistscore, by (device_group) porder exact
    Code:
    kwallis checklistscore, by (country)
    This way the Mann Whitney-U test is a two-sided test (right?) and I am wondering about the Kruskal Wallis test, is it also a two-sided test?

    Thanks for any help or clarifications

    BW Resa

  • #2
    each of these gives a 2-sided test

    Comment


    • #3
      Resa:
      you may also want to consider:
      1) a -bootstrap- -ttest-;
      ​​​​​​​2) -regress- with -bootstrap- standard errors if you are going to compare the mean of =>3 samples.
      Kind regards,
      Carlo
      (Stata 19.0)

      Comment

      Working...
      X