LINGUIS 260
Advanced Quantitative Methods in Linguistics
This course provides a graduate-level introduction to statistical models often used in linguistics, primarily mixed-effects linear and logistic regression (LMER) models and Generalized Additive Mixed Models (GAMM). We will discuss, replicate and extend published analyses drawing on various branches of linguistics, using the R programming environment.
Topics
- You will gain the ability to understand and critique (many) statistical models in primary literature in Linguistics, to construct, evaluate, and describe statistical models, and to make good modeling decisions.
Official catalogue course objectives and student learning outcomes
Prerequisites & course information
{'preRequisiteCourse': '1139901', 'concurrentPrerequisit': False}
Sources
- Course catalogue ↗2026-2027