V16.11 - Friedman’s ANOVA on Ranked Data in SPSS

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  • Опубліковано 15 січ 2025

КОМЕНТАРІ • 8

  • @sibabrataroy6977
    @sibabrataroy6977 9 місяців тому

    But what can be done when the data is normally distributed?

  • @wcyc0912
    @wcyc0912 3 роки тому

    Thanks a lot! you save my life

  • @VerwirrtJetzt
    @VerwirrtJetzt 5 років тому +1

    Thanks for your videos, they are greatly helpful. Can you please just confirm for me. With the mean rank, you stated, one wine was ranked as high as 7.25... does this mean it was more often ranked lower, or it was the worst performing wine? From what you were saying a rank or 1=best wine and 10 = worst wine? So 'wine 5' was the best performing and 'wine 7' the worst performing? (I realise additional testing is required to see if this difference is meaningful).

    • @how2statsbook477
      @how2statsbook477  4 роки тому +2

      Higher numbers, in this context, suggest a worse tasting wine. So, yes, wine5 was ranked the best tasting wine (at least numerically; you could do more testing to see if it is statistically significant better tasting than all of the other wines; I talk about that in the textbook: www.how2statsbook.com

    • @VerwirrtJetzt
      @VerwirrtJetzt 4 роки тому

      @@how2statsbook477 Many thanks! Appreciate your response.

  • @qwertyuiop9335
    @qwertyuiop9335 3 роки тому

    Thank you! How do I divide them into homogeneous subsets?

  • @memer_rold729
    @memer_rold729 5 років тому

    Thank you this video is very helpful to do my research. But can I ask help? Is it possible to have bonferroni post hoc test after this treatment. My study is relevant to your example. I would like to know which factor greatly affects the brand patronization the most. I did it using ranking the factors from 1 to 9. I already did what you instruct now I want to analyze it using a post hoc test. Thank you for this video again more power to your channel!

    • @how2statsbook477
      @how2statsbook477  5 років тому

      I discuss this issue in Chapter 16 of the (free) textbook: www.how2statsbook.com. Basically, you can simply conduct a series of Friedman ANOVAs comparing two conditions at a time as your post-hoc tests.