On Mon, May 05, 2014 at 11:27:40AM -0700, Ben Pfaff wrote:
On Mon, May 5, 2014 at 10:51 AM, John Darrington
<[email protected]> wrote:
> On Mon, May 05, 2014 at 08:09:16AM -0700, Ben Pfaff wrote:
> I'm sure there is an error in our implementation. NaN is coming
from
> the square root of a negative number, as you said.
>
> I made another mistake below. PSPP actually calculates ASE0
correctly
> for asymmetric lambda (lambda divided by ASE0 is what's displayed as
> "Approx. T", which matches that calculated by SPSS for asymmetric
> lambda). It's ASE1, displayed as "Asymp. Std. Error", that PSPP
gets
> wrong.
>
> Ahh. I was calculating ASE0.
>
> ASE1 like you say seems wierd and results in an imaginary number. I can
only imagine
> that this is a mistake in the SPSS documentation. Unfortunately I
haven't been able
> to find any other references on how to calculate this value.
>
> Another issue: if we have T, we should be able to calculate the
significance. We just
> need to know the degrees of freedom. I wonder how these are calculated?
>
> Unfortunately the litereature on these values seems to be scarce.
https://v8doc.sas.com/sashtml/stat/chap28/sect20.htm has a different
formula,
but I don't understand how to interpret r_i|l_i = l.The text below it says: Also, let li be the unique value of j such that ri=nij, and let l be the unique value of j such that r = n??j. I interpret this to mean that r_i is summed for all i where the condition l_i == l is true. -- PGP Public key ID: 1024D/2DE827B3 fingerprint = 8797 A26D 0854 2EAB 0285 A290 8A67 719C 2DE8 27B3 See http://sks-keyservers.net or any PGP keyserver for public key.
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