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  • JMP will suspend normal business operations for our Winter Holiday beginning on Wednesday, Dec. 24, 2025, at 5:00 p.m. ET (2:00 p.m. ET for JMP Accounts Receivable).
    Regular business hours will resume at 9:00 a.m. EST on Friday, Jan. 2, 2026.
  • We’re retiring the File Exchange at the end of this year. The JMP Marketplace is now your destination for add-ins and extensions.

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Sandeep123
Level III

Calculating effect size

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

11 REPLIES 11
Sandeep123
Level III

Re: Calculating effect size

Manual calculation of Cramer's V from this data from the description below

 

Cramér's V (ibm.com)

 

would be 0.01..

 

 

 

Re: Calculating effect size

So by most of these measures, the association is weak.

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