Hi,
I would be very graitful if someone could help me to figure out my problem.
I used mixed-effects models to analyse my data and AIC approach for model
selection. I am studying an effect on Labrador tea on basal diameter of spruce
in 2 different habitats (wet and dry zones) during 3 years.
This is one of example of my AIC table:
Candidate
models
K
AICc
$B&$(B AICc
AICc Wt
Zone + Labrador tea + Year
9
-17.75
0.00
0.80
Zone + Labrador tea + Year + Zone $B!_(B Labrador tea
10
-14.69
3.06
0.17
Zone + Labrador tea + Year + Year $B!_(B Labrador tea
12
-11.21
6.53
0.03
Zone + Labrador tea
6
71.14
88.88
0.00
Zone + Labrador tea + Zone $B!_(B Labrador tea
7
73.85
91.59
0.00
I interpreted the main effect of zone, Labrador tea and Year. My question is
should I interpret the interaction term Zone $B!_(B Labrador tea also?
Normally I interpreted the effect of variables that have been in the models
with $B&$(B AICc < 4.
One professor said I should not interpred interaction term if the main effect
is stronger. But at the same time I saw articles where author interpreted the
interaction term where Akaike weight was still high.
Thank you in advance.
Galina
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