Friedman Test using PSPP

Hi, in this video, I will show you as to how to perform a Friedman Test on pspp along with the interpretation, all under 4 minutes. If you liked the video, please feel free to subscribe to my channel. Thanks.
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[@ramagokulakrishnan]

I am Dr. S. Rama Gokula Krishnan, Faculty & PhD guide in the School of Social Work, St. Joseph's University, Bengaluru. For access to my research articles, please visit my website: sramagokulakrishnan.godaddysites.com
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[@amruthkiran94]

This is great! Thanks!

[@ramagokulakrishnan]

Welcome!

[@ancysherin7148]

Awesome

[@ramagokulakrishnan]

Thank you!

[@giacomomigliore6506]

Hello Professor,
it's me again Giacomo from the comment section under scoring DASS-21. Regarding my question from last time about what test to use: I now have M(SD) and p-values (due to friedman test) for my ordinal data of the DASS-21. As my data is ordinal but I also want to report effect size, what test could I use here? I tried Wilxocon test to get z value but my z value resulted in: - 5.843 for 45 participants. Do you think you could share your brain on this problem?
It would be highly appreciated.

[@ramagokulakrishnan]

Hi. Since you have ordinal data and wish to report the effect size or the strength of the relationship between the variables, the ideal test to go for would be spearman's rank correlation. This type of correlation can be used with ordinal data and the correlation value is a representation of the strength of the relationship or effect size. The closer the value is to +1 or -1, the greater the effect size. Also, make sure you do have statistical significance before you go on to report the effect size. After all, without statistical significance, the effect size may not be worth discussing. All the best.

[@giacomomigliore6506]

@@ramagokulakrishnan But will it answer my research question: Will e-sports players with higher demographic data have higher stress, depression, anxiety levels and lower well-being levels than players with lower demographic data?
Because the correlation shows me only if there is a specific trend, but does not give me a specific value for every age (18-25; 26-35; >35) where you can clearly see what age group has highest D A S levels and lowest mental well being levels. Or should I just look at the means of every age when compared to questionnaire results?
Thank you again

[@ramagokulakrishnan]

@@giacomomigliore6506 Yes, I suggested spearman's correlation because it is ideal for ordinal data. What you describe (age group) is technically nominal. Hence, if your independent variable is nominal and if your dependent variable is continuous in nature, you can opt for a Kruskall Wallis test or ANOVA (if your data is normally distributed).