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
PROC FREQ treats all variables as categorical. It doesn't know and doesn't care that you think a variable is continuous.
PROC FREQ treats all variables as categorical. It doesn't know and doesn't care that you think a variable is continuous.
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 ?
@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.
Yes I think It does not make sense
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