Friedman
Analysis of Variance by Ranks
1 Continuous Dependent Variable with
non-normal distribution
1
(Multi-Level) Categorical Independent Variable
|
|
Task Completion time |
|||
|
Subject |
Interface 1 |
Interface 2 |
Interface 3
|
|
|
1 |
12.9 |
16 |
4 |
|
|
2 |
5.7 |
7.5 |
4.3 |
|
|
3 |
16 |
16 |
5 |
|
|
4 |
14.3 |
15.7 |
5.3 |
|
|
5 |
2.4 |
13.2 |
4.9 |
|
The Friedman Analysis of Variance is the
non-parametric version of repeated measures ANOVA. Friedman Analysis of
Variance is applied under the same conditions as repeated measures ANOVA,
except that the dependent variable need not be normally distributed for
Friedman Analysis of Variance.
Values to report:
·
Degrees of
freedom
·
Average
rank correlation
·
p value
· (optional) Chi square distribution
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