How to Calculate P Values for Ordinal Data
The Friedman test is a non-parametric statistical test for determining the p-value of ordinal data (ranking data). The Friedman test uses a formula to calculate the variance of the ordinal data between groups. Calculate the p-value for the data by comparing this number to the critical value of a chi-square test with the same degrees of freedom, rows and columns.
Instructions
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Construct a table with columns representing the groups to be compared and rows representing a single data set for the group. For example, if you are comparing ordinal poll results for four candidates over five days, make one column for each candidate and write a 1, 2, 3 or 4 at the header of each row to represent each candidate's position in each of the five days.
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Calculate the sum of the ordinal rankings in each column. Write the sums in a row below the data rows.
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Calculate the degrees of freedom by subtracting one from the number of groups. In the example, there are four groups so the degrees of freedom is three.
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Look up the critical value on a Chi-Square table for the value of alpha you have chosen and the degrees of freedom. With a standard alpha of 0.05 and 3 degrees of freedom, the critical value is 7.815.
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Calculate the chi-square value using the formula Chi-Square = (12 / (nk(k + 1))) * Sum(R^2) - 3n(k + 1), where n = the number of rows, k = the number of columns and R = the sum for each column. In the example, if the sums of the five rows are 7, 11, 12 and 20, then Sum(R^2) is equal to 49 + 121 + 144 + 400, so the formula is (12 / (5*4*5)) * 714 - 3*5*5. This simplifies to 10.68.
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Compare the chi-square value to the critical values on the chi-square table. If the chi-square value exceeds the critical value for that alpha, then p is less than the alpha. In the example, the chi-square value is 10.68 and the critical value for alpha 0.05 is 7.815, so p < 0.05. The critical value for alpha 0.01 is 11.345, so p > 0.01.
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