Wilcoxon Test

• A Wilcoxon test compares the difference between conditions using the same group of participants (repeated measures design).
• A Wilcoxon test uses a repeated measures design with ordinal data.
• The Wilcoxon test is a non-parametric statistical test of difference that allows a researcher to determine the significance of their findings.
• A Wilcoxon test is used in studies that have a repeated measures or matched pairs design, where the data collected is at least ordinal.
• A Wilcoxon test calculates whether there is a significant difference between two groups/conditions, using the same individuals.
• A Wilcoxon test produces a T value which is compared against a critical value to see if it is significant.
• In a Wilcoxon test if the T value is less than the critical value the result will be significant. The research hypothesis can be accepted.