Dear all,

 My study was small sample size and measured many variables simultaneously when subject received six stimulatory conditions. There was significant after Friedman Test and I have to conduct post hoc test but in SPSS, there could not automatically compute like Kruskal-Wallis test for post hoc. Moreover, I am new for R or Phyton, therefore, used Wilcoxon signed rank test for pairwise comparison and Bonferroni correction by using alpha as 0.05 and calculate p value for post hoc. That is the main things that I would like to ask for suggestion. Is this acceptable to calculate post hoc like this?

Or

Should I use repeated measured even data is no normal distribution? P.s; Here is what I found in my variables, there were mixing between no normal distribution and normal distribution among variables, and also could not transform due to negative value in the data. 

Dear all,

 My study was small sample size and measured many variables simultaneously when subject received six stimulatory conditions. There was significant after Friedman Test and I have to conduct post hoc test but in SPSS, there could not automatically compute like Kruskal-Wallis test for post hoc. Moreover, I am new for R or Phyton, therefore, used Wilcoxon signed rank test for pairwise comparison and Bonferroni correction by using alpha as 0.05 and calculate p value for post hoc. That is the main things that I would like to ask for suggestion. Is this acceptable to calculate post hoc like this?

Or

Should I use repeated measured even data is no normal distribution? P.s; Here is what I found in my variables, there were mixing between no normal distribution and normal distribution among variables, and also could not transform due to negative value in the data. 

Dear Sir Jon Peck,

 I am really thankful for your reply. I try to install extension, however, it showed " My system doesn't meet requirements to install" and showed symbols as ! . Is there any solution about this?

Thank you so much for your help.

Best regards,

Phyu Wint

Dear all,

 My study was small sample size and measured many variables simultaneously when subject received six stimulatory conditions. There was significant after Friedman Test and I have to conduct post hoc test but in SPSS, there could not automatically compute like Kruskal-Wallis test for post hoc. Moreover, I am new for R or Phyton, therefore, used Wilcoxon signed rank test for pairwise comparison and Bonferroni correction by using alpha as 0.05 and calculate p value for post hoc. That is the main things that I would like to ask for suggestion. Is this acceptable to calculate post hoc like this?

Or

Should I use repeated measured even data is no normal distribution? P.s; Here is what I found in my variables, there were mixing between no normal distribution and normal distribution among variables, and also could not transform due to negative value in the data. 

Dear Sir Jon Peck,

 I am really thankful for your reply. I try to install extension, however, it showed " My system doesn't meet requirements to install" and showed symbols as ! . Is there any solution about this?

Thank you so much for your help.

Best regards,

Phyu Wint

Dear all,

 My study was small sample size and measured many variables simultaneously when subject received six stimulatory conditions. There was significant after Friedman Test and I have to conduct post hoc test but in SPSS, there could not automatically compute like Kruskal-Wallis test for post hoc. Moreover, I am new for R or Phyton, therefore, used Wilcoxon signed rank test for pairwise comparison and Bonferroni correction by using alpha as 0.05 and calculate p value for post hoc. That is the main things that I would like to ask for suggestion. Is this acceptable to calculate post hoc like this?

Or

Should I use repeated measured even data is no normal distribution? P.s; Here is what I found in my variables, there were mixing between no normal distribution and normal distribution among variables, and also could not transform due to negative value in the data.