Select menu: Stats | Statistical Tests | Kruskal-Wallis One-way ANOVA
Use this to perform a Kruskal-Wallis one-way analysis of variance on the ranks (relative to the whole data set) of a set of samples. The samples can be supplied in two ways: either as a list of variates, or one variate with the groups specified using a factor.
Data arrangement
You can supply the data either as a list of variates or as a single variate with a factor defining the groups.
| List of variates | Enter the samples as a list of variates in the List of variates field |
| One variate with group factor | You must supply the data in one variate, specified as the variate. Membership of the different samples is then indicated by the Group factor |
Display
Specifies information to be displayed when carrying out the Kruskal-Wallis one-way ANOVA. If Tests is selected then the relevant test statistics will be displayed in the Output Window. Similarly, if Ranks is selected then the ranks for each sample relative to the whole data set will be displayed in the Output Window.
If Dunn’s test is selected, the output includes Dunn’s test for differences between pairs of samples. If the Multiple comparison option is then also selected, multiple comparison adjustments to the probabilities are calculated using the either the Bonferroni or Sidak method. The output for Dunn’s test contains the differences in mean ranks, their standard errors, the statistics (absolute differences divided by their standard errors), probabilities based on the Normal distribution, and critical values of 5% and 1% for the Bonferroni or Sidak multiple-comparison tests, if these have been requested.
Available data
List variates and factors that can be used to supply the data sets and groups. The contents may change as you move from one input field to another, so that appropriate types of data structure are listed. Double-click on a name to copy it into the input field, or type the name in directly.
See also
- KRUSKAL procedure
- Save Options