Stefan Th. Gries 
Ling 202: Advanced research methods and statistics in linguistics (Spring 2023)
Syllabus and overview 
This course is a selective introduction to predictive modeling applications in linguistics. We start with a onesession intro of predictive modeling with an emphasis on regression modeling, which will survey model formulation, model selection, multifactoriality, and validation. Then, we work our way through a variety of regression modeling applications: linear regression, binary logistic regression, multinomial, and ordinal regression models. Then, one session will be concerned with model diagnostics and, perhaps, model validation. Finally, there is a session on classification and regression trees. Like its prerequisite course Ling 201, this course is based on the third edition of my textbook Statistics for linguistics with R: a practical introduction (2021) and uses the open source programming language R. 





