Do You want to calculate the strength of association between two categorical variables? Use the Cramer’s V Calculator, it uses a formula based on the chi-square statistic and provides a value between 0 and 1.
Cramer’s V Calculator
Enter any three values to calculate the missing one
What is Cramer’s V?
Cramer’s V is a way to measure the relationship between two nominal variables. It shows how strong the connection is, where 0 means no association and 1 means a perfect association. Cramer’s V is especially helpful when working with larger contingency tables, like those bigger than 2×2.
How to Use the Calculator
Using the Cramer’s V Calculator involves these steps:
- Enter the chi-square value (X²).
- Enter the total sample size (n).
- Enter the number of rows or columns in the contingency table (k).
- Click the “Calculate” button to find Cramer’s V.
How to Calculate Cramer’s V?
The following steps outline how to calculate Cramer’s V using the formula:
Variables
Variable | Description |
---|---|
V | Cramer’s V |
X² | Chi-square value |
n | Total sample size |
k | Number of rows or columns in the contingency table |
Solution
Let’s calculate Cramer’s V for a given chi-square value, sample size, and contingency table.
1. Identify the values:
- Chi-square value (X²) = 18.5
- Total sample size (n) = 100
- Number of rows or columns (k) = 3
2. Apply the formula:
Thus, Cramer’s V is approximately 0.304, indicating a moderate association between the variables.
Input Example
Example 1 | Value |
---|---|
Chi-square value (X²) | 10 |
Total sample size (n) | 50 |
Number of rows or columns (k) | 2 |
Cramer’s V | 0.447 |