# Thread: Non-parametric equivalent of a factorial anova (not repeated measures)?

1. ## Re: Non-parametric equivalent of a factorial anova (not repeated measures)?

I think the explanations are a bit above my level, for analysis purposes we (those on my course) have only ever been shown to carry out a normality test on the data in spss (using shaprio-wilk) or minitab (anderson darling) and then interpret from the the p value whether the data is normally distributed. Then eithr select the parametric or equivalent test needed. I am sure this seems very simplistic (or maybe even inaccurate) but it is all I have ever been shown to do (and passed previous assignments with). As I said I am studying animal welfare so not a maths/business subject etc. Literally my problem was that where in my previous analysis I was used Kruskal-Wallis instead of one way-anovas now that I am looking at interactive effects of two independents I can't seem to find what test I need as a non-para equivalent to the two-way anova. Sorry if I just keep repeating myself but I just seem to have spent all day getting more and more lost over it all!

I do really appreciate everyones help.

2. ## Re: Non-parametric equivalent of a factorial anova (not repeated measures)?

Originally Posted by trinker
You may have to type syntax to do this (not sure SPSS isn't my program of choice)
nah, AVOID SPSS' syntax whenever you can. it's horribly, horribly unintuitve...

from the menu section do:

Analyze ---> General Linear Model ----> Univariate

and once you've declared your dependent variable and your factors (putting them in the right boxes) click on "Save" and where it says "Residuals" just click the box that says "Standardized" (just because it's good to have things standardized) and SPSS will create a column with the residuals. do the Shapiro-Wilks test on that and that's what you should worry about.

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