What do I do when the chi-square assumption is violated

#1
Hello,

I am looking at data to see if there is a correlation between an Independent nominal variable (3 level) and a hypothesized dependent nominal variable (2 levels).

SPSS shows a statistically significant chi square and Cramer's V, but an assumption is violated. The expected count is less than 5 for 33% of the cells.

What do I do? I tried looking this up and I found sources saying to use a Fisher's test if it was 2x2, but my data is 3x2. :\

The likelihood ratio value calculated in the same SPSS chi square test is 9.676 with df=2 p value= 0.008

What does the likelihood ratio mean in this case? and is it appropriate to use it in the analysis?
 

hlsmith

Less is more. Stay pure. Stay poor.
#2
Use Fisher's Exact Test. It may take a little time to run.


Can you post your 2x3 table? The likelihood would be easier to explain with a numeric example.