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FRIEDMAN TEST
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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.

GET HELP FROM US

There is a lot of statistical software out there, but SPSS is one of the most popular. If you’re a student who needs help with SPSS, there are a few different resources you can turn to. The first is SPSS Video Tutorials. We prepared a page for SPSS Tutor for Beginners. All contents can guide you through Step-by-step SPSS data analysis tutorials and you can see How to Run in Statistical Analysis in SPSS.

The second option is that you can get help from us, we give SPSS help for students with their assignments, dissertation, or research. Doing it yourself is always cheaper, but it can also be a lot more time-consuming. If you’re not the best at SPSS, then this might not be a good idea. It can take days just to figure out how to do some of the easier things in SPSS. So paying someone to do your SPSS will save you a ton of time and make your life a lot easier.

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How to Run Friedman Test in SPSS: Explanation Step by Step

STEP 1

From SPSS menu choose Analyze – Nonparametric tests – K related samples

STEP 2

Transfer variables into box Test Variables.

STEP 3

Click on the Statistics, tab and a new window will open. Choose Quartiles.  Click OK.

STEP 4

The Friedman test results will appear in the output box.

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How to report a Friedman test results: Explanation Step by Step

STEP 1

How to Report the Descriptive Statistic Table in SPSS Output?

This is a very useful table because it can be used to present descriptive statistics in your results section for each of the time points for your dependent variable.

STEP 2

How to Report Mean Rank in SPSS Output?

The Friedman test compares the mean ranks between the related groups and indicates how the groups differed,  however, you are not very likely to actually report these values in your results section, but most likely will report the median value for each related group.

STEP 3

How to Report P-Value in Friedman Table SPSS Output?

Since in our example, p = 0.276 > 0.05, we fail to reject the null hypothesis. and conclude that there is no difference in the Math test score before, after the first and after the second training.

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Friedman test was conducted to determine whether Math test scores differ before, after the 1st training, and after 2nd 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.

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