Hi,
After running an experiment in economics involving 3 treatment variables
(Complete, High and Ksup), 32 Groups of subject (4 groups for each of the 8
treatment combinations) and 12 Periods, I've estimated the following model in
which all coefficients are significant:
y <-
lme(Diff~factor(Complete)+factor(High)+factor(Ksup)+Period+factor(High):Period+factor(Ksup):Period,
random=~1 | Group, method='ML').
The result is:
(Intercept) -10.99
factor(Complete)1 -9.05
factor(High)1 -12.28
factor(Ksup)1 14.69
Period 1.12
factor(High)1:Period 0.98
factor(Ksup)1:Period -0.85
This allows me, if I'm not wrong, to estimate for example the value of the
dependent variable Diff in period 5 under the High and Complete (but not the
Ksup) conditions as: -10.99 - 9.05 - 12.28 + 1.12*5 + 0.98*5.
Now, I'd like to test whether this estimated value is significantly different
from 0: How should I do?
Thanks a lot!
Francois Cochard
University of Toulouse 1, France.
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