Caroline Brown wrote:
>
> HI
>
> I have an analysis problem, which I am researching solutions to, and David
> Howell of UVM suggested I mail the query to you.
> My problem is how to deal with a two way- repeated measures design,
> in which one cell could not be measured:
> A1 A2 A3
> B1 ok ok ok
> B2 - ok ok
> B3 ok ok ok
> B4 ok ok ok
>
> There is a good theoretical reason for this absence, as levels of factor A
> are set sizes, and A1 is one item, Factor B is cueing to spatial location
> and in the 1 item set size, there are no other items competing for 'encoding'
> resources (thus there can be no INVALID cue).
>
> If you know of any texts or papers on this issue, or have any thoughts as to
> its solution, I would be most grateful.
I think it will depend on what hypotheses you want to test. You can treat it
as one-way repeated measures ANOVA and follow up with specific
comparisons/contrasts. You could drop one of the levels of A or B and run full
factorial designs. You could analyze it as a GLM. You could do some
combination of these.
Thom
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