Hello again,
In my situation, I have three variables: pretest, posttest, and cohesion.
I want to work out the correlation between postest and cohesion.
I looked at multiple sets of data and created ANOVA tables of them. However,
as pretest and postest are sometimes correlated (with a
drmh douglasrmhol...@googlemail.com wrote
Hello again,
In my situation, I have three variables: pretest, posttest, and cohesion.
I want to work out the correlation between postest and cohesion.
cor(cohesion, posttest) gives you this.
I looked at multiple sets of data and created ANOVA
(Have searched for this already)
Hi,
How do you find the strength of correlation between two variables using an
ANOVA table? Pr(F) gives the statistical significance of the
association, but not the strength of the correlation.
See data (from R) below
Readable:
Df
Hi Douglas
I would go for a different command then aov.
something like:
?cor
or
?cor.test
To also get the p value of the correlation.
Cheers,
Tal
On Sat, Apr 25, 2009 at 8:27 AM, drmh douglasrmhol...@googlemail.comwrote:
(Have searched for this already)
Hi,
How do you find the strength
Hi, thanks for your prompt reply
In my situation, the dependent variable is post-test and the independent
variables are pre and coh.
Howw would I find the correlation between coh and post with the effect of
pre regressed using your commands?
Tal Galili wrote:
Hi Douglas
I would go for a
Hi Douglas.
So you want to check for correlation or regression ?
how many levels does pre have ?
you could subset the variables you want to check correlation on, by the pre
levels.
for example:
Let's say pre has two levels: 1 and 2. then you can do:
cor(y[pre == 1], x[pre == 1])
cor(y[pre == 2],
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