HOW TO RUN
FRIEDMAN TEST
IN SPSS

How to run the Friedman test in SPSS? How to interpret Friedman’s test?

If you are looking for an answer to the question above, please continue to read.

Using The Friedman test in Research

This easy tutorial will show you how to run the Friedman test in SPSS, and how to interpret the result.

The Friedman test is a useful method of analysis for nonparametric data, especially in human competence research furthermore the method allows producing test results of groups, comparable with each other, regardless of the size of the group and even with small respondent numbers. (Source)

Assumptions of the Friedman test

1. One group is measured on three or more different occasions.
2. The group is a random sample from the population.
3. Your dependent variable should be measured at the ordinal or continuous level.
4. Samples do NOT need to be normally distributed.

An Example: How to Run Friedman Test in SPSS

We wanted to examine whether training influences Math test scores. Therefore, we measured the Math test score before training.

Null hypothesis:

No difference in the Math test score before, after the first and after the second training.

Alternative hypothesis:

There is a difference in Math test score before, after the first and after the second training.

This easy tutorial will show you how to run the Friedman test in SPSS, and how to interpret the result.

Friedman test was conducted to determine whether Math test scores differ before, after the 1^st training, and after 2^nd training. The results show non-significant difference, [χ²(2) = 2.571, p = 0.276]. We, therefore, fail to reject the null hypothesis and conclude that there is no difference in Math test score before, after the first and after the second training.

Visit Reporting Friedman Test Page for more details.