Hello,

I have data where I'm trying to predict what type of construction speakers
will use with a novel verb depending on their input. There are five
potential constructions, so I'm running five binary logistic models, coding
for whether they used a particular construction (coded 1) or not (coded 0).

The problem comes in with my random effects. I have two types of item
effects that I want to include, but they are only contributing to some of
my models. So if I'm looking at whether they used a verb intransitively, my
random effects are accounting for some variances, but when I'm looking at
whether they used a verb transitively, they're not.

I'm confident in how I'm running the models (unless someone has a reason
for me not to be). What I'm not sure what to do is how to report this.
Should I report the same random effects for all models even if they don't
contribute to each one just for the sake of consistency? Or should I only
report the best fit models?

Thanks,
Laura Suttle

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