Hi all,
I have a quick question to ask about model selection.
Let’s say I am interested to find out the ACE for years of music training, and for the full model I got the following estimates: A = 51% (CI: 0.18-0.89), C = 33.6% (CI: 0-0.65), E = 15.4% (CI: 0.10-0.24).
The fit statistics of the submodels are as follows:
base comparison ep minus2LL df AIC diffLL diffdf p 1 HomoAce <NA> 6 1022.900 193 636.8998 NA NA NA 2 HomoAce AE 5 1024.610 194 636.6104 1.710576 1 1.909107e-01 3 HomoAce CE 5 1033.580 194 645.5804 10.680594 1 1.082653e-03 4 HomoAce E 4 1109.442 195 719.4423 86.542486 2 1.612642e-19
As the AE model’s AIC is slightly lower than the full model, does that mean that the rule of thumb would be to choose AE as the best fitting model? The estimates for the AE model are: A = 84.5% (CI = 0.77-0.90), E = 15.5% (CI = 0.10-0.23).
I am feeling a bit unsure about choosing AE as the model because intuitively, it doesn’t seem to make sense if shared environment component isn’t important for years of music training. Are there other factors that I should take into consideration for model selection?
Thanks and best regards,
Yi Ting Tan