Is it normal to have thousands of df in a logistic regression model? I'll admit right off the bat that degrees of freedom is not a concept I understand very well in general. That being said, I was reading a study that reported the following results:

I struck me that the df for most of these factors is way, way higher than I'm used to seeing in other contexts (when I actually pay attention to the df). Is it normal to have dfs as high as 2,125? Why would only one variable end up being a tiny fraction of that (the last with a df of 25.69)?

The discrepancy between DF for different estimates likely means that these are the results of a mixed model. There were probably a bit more than 25.69 participants in the study (leading to 25.69 DF for fluency), but these people probably had over 100 measurements each, or over 2125 total (leading to 2125 DF on other coefficients). Because there were only around 30ish measurements of whether individuals were fluent or not (one for each person in the study), and there were over 2125 measurements of features of speech (one for each speech sample collected), more DF can be used for the features of speech.
