Use
Mood’s Median
Test when you have one categorical factor and a continuous response, and you are not confident that the data for all of the groups have similarly shaped distributions. Using this analysis, you can do the following:
- Determine whether the medians of two or more groups differ.
- Calculate a range of values that is likely to include the difference between population medians.
For example, a researcher wants to determine whether the presentation method that a teacher uses affects students' comprehension of the lecture. The researcher selects 149 students and randomly assigns them to lectures that use one of three different presentation methods: text descriptions, photographs, or cartoons.
Where to find this analysis
To perform Mood's median test, choose .
When to use an alternate analysis
-
If your data meet the following sample size guidelines, consider using
One-Way
ANOVA because it will perform very well with skewed and nonnormal distributions, and it has more power.
- The data contain 2–9 groups and the sample size for each group is at least 15.
- The data contain 10–12 groups and the sample size for each group is at least 20.
- If the distributions of the groups do not include outliers, use Kruskal-Wallis
Test because it has more power.
- If you have a randomized block design and want to test the medians, use Friedman
Test.
