Thanks for that paper Lee – very useful. But it still doesn’t answer Clare’s original question, which I also share. I have three group. And a text book. The textbook recommends testing for normality in EACH group. My within-group distributions are not normal. But the data as a whole ARE normal. Is the within-group normality really important?

Angela

From: Research of postgraduate psychologists. [mailto:[log in to unmask]] On Behalf Of L.R.Saunders
Sent: 09 April 2013 11:36
To: [log in to unmask]
Subject: Re: repeatedmeasures ANOVA

Hi,

you might like to read this:   

Schmider, E., Ziegler, M., Danay, E., Beyer, L., & Bühner, M. (2010). Is it really robust? Reinvestigating the robustness of ANOVA against violations of the normal distribution assumption. Methodology: European Journal Of Research Methods For The Behavioral And Social Sciences, 6(4), 147-151. doi:10.1027/1614-2241/a000016.

It might be useful/helpful.

Lee

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From: Research of postgraduate psychologists. [[log in to unmask]] on behalf of Clare Sutherland [[log in to unmask]]
Sent: 09 April 2013 10:30
To: [log in to unmask]
Subject: Re: repeatedmeasures ANOVA

Sorry for reposting but I should probably clarify - I have been using Andy Field's (2009) statistics book, which is great but it does not clarify

how to test for the normality of repeated measures designs (it explains that for a dependent t-test you should check the normality of the differences, but it does not outline anything around normality under the repeated measures design ANOVA section, just sphericity which is a different issue). This is also true for his online resources (unless I am really missing something).

I have also spent quite some time looking at university and statistical resources online and I have seen conflicting accounts, so ideally I need a resource that explains which are right (or more right) and which are wrong (or less right) and why.

Thanks to everyone who replied so far!

Clare

Clare Sutherland

PhD student

Room A003

Department of Psychology

The University of York

Heslington

York YO10 5DD

Tel: +44 1904 322861