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John4
Obsidian | Level 7


My data set look like this :
Birth    Death    InfantDeath     Country
24.7      5.7           30.8             Albania

I am using this code for analyse my data :

PROC FREQ DATA = MYDATA;
TABLE BIRTH*COUNTRY / CHISQ;
RUN;


Cramér's V is a measure of association between two nominal variables but I dont understnd why SAS compute Cramér's V for continuous variable and categorial variable ? In the output I got 0.2236 as V cramer for these variables : Birth and Country

1 ACCEPTED SOLUTION

Accepted Solutions
PaigeMiller
Diamond | Level 26

PROC FREQ treats all variables as categorical. It doesn't know and doesn't care that you think a variable is continuous.

--
Paige Miller

View solution in original post

4 REPLIES 4
PaigeMiller
Diamond | Level 26

PROC FREQ treats all variables as categorical. It doesn't know and doesn't care that you think a variable is continuous.

--
Paige Miller
John4
Obsidian | Level 7

So we have to interpret the result 0.2236 as usually ? (I mean : "weak effect", "small effect", etc...)

Or is there a method to deal with that ?

PaigeMiller
Diamond | Level 26

@John4 wrote:

So we have to interpret the result 0.2236 as usually ? (I mean : "weak effect", "small effect", etc...)

Or is there a method to deal with that ?


If I am understanding the question properly (and I may not be), you would not try to interpet a calculations of Cramer's V in this situation as it is meaningless.

--
Paige Miller
John4
Obsidian | Level 7

Yes I think It does not make sense

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