It isn't actually that easy, in the sense that
most data humans make up has a low efficiency with
respect to design criteria -- the determinant of
the cross-product matrix tends to be small. The
simplest way is to use a computer program that
calculates algorithmic designs.
jim clark wrote:
>
>
I'm not clear on what your design is but it seems that
the problem is in the between S effect not within. Note that you only
have 4 df within and 4 dependent variables
=
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It isn't actually that easy, in the sense that
most data humans make up has a low efficiency with
respect to design criteria -- the determinant of
the cross-product matrix tends to be small. The
simplest way is to use a computer program that
calculates algorithmic designs.
jim clark wrote:
>
>
Hi
I like to use small, artificially generated data sets with
integer parameters to introduce analyses. Often, however, I find
it difficult to avoid undesirable contingencies among the scores
(e.g., linear dependencies in within-subject designs). Is there
an algorithmic way to generate such sco
