This video shows how to conduct the Friedman ANOVA and interpret the results using SPSS statistics.
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General information:
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The Friedman Test (aka. Friedman ANOVA) is a nonparametric statistical method that is used when you have a test variable for multiple points in time for the same individiuals. This test is used to assess whether the medians over time show a difference. Usually, there is some sort of intervention along the way and the Friedman Test/ANOVA is used to check for the effect of the intervention. The dependent variable needs to be on at least the ordinal scale.
For example:
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I have a group of people and let them do a physical test and record the respective scores. Afterwards, a 3-week long training begins. After the completion of the training, the same test as before is done again and another score recorded. Finally, another 3 weeks later another such measurement is taken - no trainings has been done in the meantime though.
I want to test whether the training had an effect on the test score and also if the effects reverts back to pre-training within 3 weeks of not training. The Friedman ANOVA helps me in finding that out.
Calculating the required sample size:
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🎥 • Friedman test / Friedm...
⏰ Timestamps:
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0:00 Introduction
0:12 Example
0:35 Requirements for the Friedman ANOVA
0:45 Descriptive statistics as a first look
1:03 Friedman Test/ANOVA calculation in SPSS
1:49 Interpreting the results of the Friedman Test/ANOVA in R
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