Workshop with Morgan Sonderegger: Topics in fitting and using mixed-effects regression models

Mixed-effects regression models (MEMs) have become the standard for analyzing linguistic data in several subfields.   However, actually fitting and interpreting these models (in R) carry a number of complications that users often hit in practice, and that are minimally discussed in commonly-used instructional materials on MEMs.  I discuss some of these topics with practical examples and R code, with topics chosen based on a survey circulated before the workshop. Possible topics include: model convergence, random-effect structure, collinearity, post-hoc tests, contrast coding.  Subject to interest I could also give a broad introduction to MEMs using R.