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Hello Kitty
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I'm currently looking to use a nonparametric alternative to the parametric repeated-measures with a between-subjects variable. I'm aiming to investigate three sets of subscores of a test taken by three groups of participants. I was initially using the parametric repeated-measures ANOVA using the within-subject variable tested at 3 levels, together with the between-subject variable Group tested at 3 levels. However, since it violated some of the assumptions to be met, I started considering using a non-parametric alternative.
To this end, I ranked each set of the subscores separately, and performed Kruskal-Wallis tests using the Tests for Several Independnt Samples in SPSS. Is it the right way of going about this? Or should I rank scores for each participant and perform Friedman's ANOVA? If I go with the latter, since this is a non-parametric equivalent of a one-way repeated-measures ANOVA, how can I investigate group effects? Should I carry out multiple independent-samples tests afterwards?
I hope my questions make sense and are not too silly.
Any suggestion or advice would be deeply appreciated.
Thanks.
To this end, I ranked each set of the subscores separately, and performed Kruskal-Wallis tests using the Tests for Several Independnt Samples in SPSS. Is it the right way of going about this? Or should I rank scores for each participant and perform Friedman's ANOVA? If I go with the latter, since this is a non-parametric equivalent of a one-way repeated-measures ANOVA, how can I investigate group effects? Should I carry out multiple independent-samples tests afterwards?
I hope my questions make sense and are not too silly.
Any suggestion or advice would be deeply appreciated.
Thanks.