http://spssx-discussion.165.s1.nabble.com/group-by-time-test-for-variability-tp4735109p4742083.html
If I measured something like "literacy scores" and expected the improvement
to produce a reduced standard deviation, then I would immediately guess that
the given score is *likely* to be the wrong metric for measuring outcome.
In particular, I would consider, What happens when I subtract, to get a
score from 0 on up of Errors on the test; and then, assuming Poisson as
the underlying distribution, I take the square root. Would this yield
variances that are much more constant? - That has worked for me, a
time or three in the past.
These days, it might be more conventional that, after reversing
scores so that Errors are counted (minimum, zero), someone would
use a Poisson link function.
--
Rich Ulrich
Date: Thu, 25 Aug 2011 16:19:27 +0000
From:
[hidden email]Subject: group by time test for variability?
To:
[hidden email]
Hi,
I'm looking at student early literacy scores over five time period for two groups using a repeated measures anova. That's situated.
I'm also running independent t-tests at each time period comparing average scores by group. The t-test also gives me whether the variability in the scores is significantly different between the groups at each time period. This will allow me to talk about the
spread of scores between the groups. e.g. I would expect the intervention group to have a sd that gets progressive smaller over time on several of the subtests.
The question is.... Is there are way to do a group by time test on the standard deviations to see if the intervention group's variability decreases more over time?