Dear firoz Ji

Cramer’s V is a statistic used to measure the strength of association between two nominal variables, and it take values from 0 to 1. Values close to 0 indicate a weak association between the variables and values close to 1 indicate a strong association between the variables.The Cramer’s V statistic is a symmetric measure, in the sense that it does not matter what variable is placed in the rows and what variable is placed in the columns.

I have also added some link of tutorial videos, I hope this may help you.

With regards 

Amit

https://www.youtube.com/watch?v=GPmOggsqxFk

https://www.youtube.com/watch?v=BROyKPwsxKs

https://www.youtube.com/watch?v=wfIfEWMJY3s

https://www.youtube.com/watch?v=Er7FuODBNqU

THANKS AMIT FOR YOUR REPLY

http://www.worldscientificnews.com/wp-content/uploads/2017/08/WSN-90-2017-31-50.pdf

I agree with dr Amit Bera

Thanks Dr yu.

And Dr bera

thanks for recommendation

Cramer's V is the most popular of the chi-square-based measures of nominal association because it gives good norming from 0 to 1 regardless of table size, when row marginals equal column marginals. V equals the square root of chi-square divided by sample size, n, times m, which is the smaller of (rows - 1) or (columns - 1): V = SQRT(X2/nm).

Since V has a known sampling distribution it is possible to compute its standard error and significance. SPSS and other major packages report the significance level of the computed V value. The formula for the variance of Cramer's V is given in Liebetrau (1983: 15-16).

Hello!

Is it possible to use Cramer' V for 3X3 matrix, since everyone said to know the relation between 2 variables.

Thank you

Dear Gagandeep Chani

Yes, It is possible to use Cramer's V for 3*3 matrix. In simple words, Cramer's V is applicable to all the matrices of 2*2 or more. As this is a method of quantifying strength of relationship, hence minimum 2 variables are required.

Thank you!

Srutisudha Mohanty