Friedman Test (Jump to: Lecture | Video )

Friedman Test
The Friedman Test is a version of the Repeated-Measures ANOVA that can be performed on ordinal(ranked) data.

Ordinal data is displayed in the table below. Is there a difference between Weeks 1, 2, and 3 using alpha = 0.05?

Figure 1.

Let's test to see if there are any differences with a hypothesis test.

Steps for Friedman Test
1. Define Null and Alternative Hypotheses 2. State Alpha 3. Calculate Degrees of Freedom 4. State Decision Rule 5. Calculate Test Statistic 6. State Results 7. State Conclusion

1. Define Null and Alternative Hypotheses

Figure 2.

2. State Alpha

alpha = 0.05

3. Calculate Degrees of Freedom

df = k – 1, where k = number of groups

df = 3 – 1 = 2

4. State Decision Rule

We look up our critical value in the Chi-Square Table and find a critical value of plus/minus 5.99.

Figure 3.

5. Calculate Test Statistic

First, we must rank the scores of every subject, as shown below in red:

Figure 4.

We then replace our original values with the rankings we've just found:

Figure 5.

A Chi-Square value is then calculated using the sums of the ranks of each group:

Figure 6.

6. State Results

Figure 7.

Do not reject the null hypothesis.

7. State Conclusion

Figure 8.

---