Hey, that's a great resource, thanks.

So even if the assumptions of normality and homogeneity of variance are fulfulled, the data will still be biased towards a larger sample size? I must have misunderstood my text. Is there an approximate cutoff for an acceptable ratio, i.e. 0.75 isn't close enough, but 0.80 is?

Also, am I correct in saying that a ceiling effect is a problem due to a deviation from normality? So the only things things I need to look out for are such deviations from these assumptions (for the purpose of noting, I mean, not to prevent the use of the robust ANOVA).

Thanks again,

Iain