Need help with large data set. Nested/factorial??

#1
I'm working with my field data and trying to understand the best way to analyze it.

I have:
6 Sites
2 tide-pools per site
Each pool has at least 15 urchins from pits, some also have 15 urchins from flat surface (so pit is a treatment, =1, flat=2)
From each urchin I have 5 spines
Each spine gets one data reading (for breakage cycles in cross section)

I think this is a factorial anova because I want to know if site and pit have effects on the number of breakage cycles .
I don't think pools should matter because in the data I have them categorized as 1 or 2, but a pool marked as 1 at one site is not subject to the same treatment at a pool 1 at another site.

Then again, I could combine Site and Pool into one nominal column because each pool experiences different effects...I think...

I don't think it would be nested because I am interested in Pitting, and I've read that in Nested ANOVA all factors below the top factor should be of no interest.

In addition to all this, my spine ring data (the only continuous set) is non-parametric.

I know this is a lot to digest, but any help would be greatly appreciated.
 

Dason

Ambassador to the humans
#2
In addition to all this, my spine ring data (the only continuous set) is non-parametric.
What exactly do you mean the data is non-parametric? We usually associate that with some sort of test or procedure, not the data itself. Are you trying to say that you don't think it's normally distributed or something like that?
 
#3
Sorry, I mean not normally distributed (shapiro-wilk test on residuals in JMP)

I'm starting to wonder if I should just run a Kruskal wallis Anova on Ranksaveraged.