You could employ a random effects logistic regression via the procedure
GENLINMIXED or a GEE logistic regression model via the procedure GENLIN.
The syntax is fairly straightforward, and there are many examples if you
search the archives:
http://listserv.uga.edu/cgi-bin/wa?S1=spssx-lor read the manual.
Ryan
On Tue, May 6, 2014 at 1:30 PM, Arakashi <
[hidden email]> wrote:
> I have a 2 (group: patients, controls) between subject X 2 (Task 1, Task 2)
> within subjects X 3 (Trial type 1, Trial type2 and Trial type3) within
> subjects. My DV is Accuracy (binary, yes or no).
>
> My data is not normally distributed because accuracy is at ceiling, so I
> was
> going to use logistic regression.
> However, I cannot for the life of me figure out what to do with the
> Accuracy
> data since it's categorical/binary. I need to be able to look at the
> interactions…
>
> For the reaction time data, I used the following syntax to explore the main
> effects and interactions (RT was for correct trials only):
> MIXED Probe.RT WITH Condition Trial Group
> /FIXED=Condition Trial Group Condition*Group Trial*Group Condition*Trial
> Condition*Trial*Group | SSTYPE(3)
> /METHOD=reml
> /PRINT = SOLUTION TESTCOV
> /RANDOM=INTERCEPT | SUBJECT(Subject)
>
> If anyone could help me with the syntax for the Accuracy data, I'd be so so
> grateful.
>
>
>
> --
> View this message in context:
>
http://spssx-discussion.1045642.n5.nabble.com/Logistic-Regression-with-Interactions-Categorical-DV-tp5725838.html> Sent from the SPSSX Discussion mailing list archive at Nabble.com.
>
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