Biased parameter estimates and spurious interactions found in empirical logit analysis.
The article explains the differences between empirical logit analysis and mixed-effects logistic regression in psycholinguistic studies. It shows that empirical logit analysis can lead to biased results when proportions are close to 0 or 1, especially with few observations. This bias can create false interactions and increase error rates. It suggests interpreting empirical logit parameters carefully.