I have a data set of about 2000 patients. There are two groups one with the critical illness and others with known critical illness.
I have done a univariate comparison between the two groups based on a there are age (continuous variable) and a number of other categorical variables like sex or race comorbidities et cetera.
Because of the relatively large dataset most of the differences come back as statistically significant with the values less than 0.01.
The reviewers of my paper however want me to report and interpret standardised effect sizes (Cohan's D or Cramer's V).
It seems to be a pretty simple thing to do it on SPSS.
Cramér’s V - Beginners Tutorial (spss-tutorials.com)
It is possible to do this in JMP? The only documentation I could find online was for doing it in a standard least square model in linear regression
Hi @Sandeep123 ,
perhaps this discussion help you calculate it manually if you just need a few estimates.
https://community.jmp.com/t5/Discussions/How-to-get-a-p-value-on-descriptive-statistics-How-to-get-Cramer/m-p/68426/highlight/true#M34835
Ron
Hi @Sandeep123 ,
perhaps this discussion help you calculate it manually if you just need a few estimates.
https://community.jmp.com/t5/Discussions/How-to-get-a-p-value-on-descriptive-statistics-How-to-get-Cramer/m-p/68426/highlight/true#M34835
Ron
Hi Sandeep,
It looks like there might have been some confusion about your question. The Cohen's D effect size measure is simply the difference between the means of the group you compared divided by the pooled standard deviations. While this measure is not directly available in JMP (at least in version 14.1), there is a JMP Add-in that does exactly what you need: Calculate Effect Sizes Add-in .
I'll continue to dig to see if there is something even simpler to address your needs.
Best,
TS
