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Thread: Incomplete factorial or nested effect??

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    Incomplete factorial or nested effect??




    Hi all,

    We have some doubts about which exact model fits the following data: It is a 2 factor design, where one of the factors (storage temperature) has two different levels (let's say A vs B). The other factor (storage time) has 6 levels within group A (let's call them 1,2,3,4,5,6), but only the 3 first levels within group B (1,2,3). Within each AxB combination level, we have 7 individuals. We have a number of dependent variables, all of them independent from each other.

    We have had some discussions concerning:
    .- Whether it should be analysed using a nested, an unbalanced or an incomplete factorial 2-way ANOVA
    .- If it is a nested design, what's the way of running the analysis using SPSS.
    .- If is an incomplete factorial, how to run it under SPSS?
    .- The easiest option is to run a one-way ANOVA considering a single factor (AxB) with 9 levels (A1, A2, A3, A4, A5, A6, B1, B2, B3), and subsequently a posthoc test, but I'm not sure this is 100% correct.

    Thanks

  2. #2
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    Re: Incomplete factorial or nested effect??


    How about just using a General Linear Model? There are two crossed factors which aren't nested.
    Cheers, Kat

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