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 tables of them. However,
as pretest and postest are sometimes correlated (with a statistical
significance < 0.05), it is necessary to discount the effect of pretest to
work out the real correlation of posttest and coherence.. I need a system
for working out the strength of the correlation between posttest and
coherence, when does actually occur.
Whether pretest and posttest are correlated, and whether that correlation is
statistically significant, is irrelevant to your question as posed. Correlation
is defined between two variables, not among three.
You might want some sort of regression such as
lm(cohesion~pretest+posttest)
but you might not
According to my understanding level refers the amount or magnitude of
experimental units.
What is level? You mention pretest, posttest and cohesion - now you mention level.
What are these experimental units?
Pretest, posttest are scores - range from any value from
0 to 1. Cohesion can be any value.
What exactly would
cor(y[pre == 1], x[pre == 1])
cor(y[pre == 2], x[pre == 2])
give me?
well, you said above that pretest and posttest can range from 0 to 1; if this is the case, pre would rarely be 1 and never be 2, so the first line above wouldn't give you much, and the second wouldn't give you anything. Also, you are now using y and x instead of (presumably) cohesion and posttest, and pre instead of, presumably, pretest.
Peter
Peter L. Flom, PhD
Statistical Consultant
www DOT peterflomconsulting DOT com