I have a dataset consisting of the following: one column
language containing five different languages. Two other columns
Intrinsic containing either (0, 1). One last column,
useOfIntrinsic. You can view the data here.
I would like to test the use of intrinsic as a function of
useOfIntrinsic. Thus, I ran the following mixed-effect logistic regression model:
glmer(INT ~ Language * Canonicity + Language + Canonicity + useOfIntrinsic + (1|Picture) + (1|ID), data = data, family = "binomial")
I also tried:
glmer(INT ~ Language + Canonicity + useOfIntrinsic:Language + Canonicity:CAN + useOfIntrinsic + (1|Picture) + (1|ID), data = data, family = "binomial")
However, I get this error:
fixed-effect model matrix is rank deficient so dropping 1 column / coefficient
I do not get the error when I exclude the
useOfIntrinsic factor. This factor is basically is the count of
intrinsic==1 for each
Language. I add this factor in order to test whether overall use of intrinsic is a good predictor
There are other post that talk about this error (e.g. What is rank deficiency, and how to deal with it?) but I am still unable to fix the error.
Another related question is whether I should reduce the significance level when running the same model 5 times (or order to change the reference language group)?