If one of the assumptions for the independent-measures ANOVA has been violated,you can still proceed by transforming the original scores to ranks and then using an alternative statistical analysis known as the Kruskal-Wallis test,which is designed specifically for ordinal data

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The statement is true. When the assumption of normality and/or equality of variances has been violated in an independent-measures ANOVA, the data can be transformed to ranks and analyzed using the Kruskal-Wallis test, which is appropriate for ordinal data.

If One of the Assumptions for the Independent-Measures ANOVA Has