Advanced Statistics for Language Science (430-0-20)

Instructors

Erika Exton
2001 Sheridan Road, Office 4178
Office Hours: By appointment

Meeting Info

2001 Sheridan GPC 1125: Tues, Thurs 11:00AM - 12:20PM

Overview of class

This course focuses on theoretical and practical issues in data visualization and the application of regression models to data in language science. You will use the statistical computing environment R to develop reproducible workflows for visualizing and statistically analyzing real data sets (e.g., acoustic measures, reaction times, error rates, scalar judgments), examining various levels of language structure (from sound to meaning), while accounting for variation across trials, participants, and items.

Registration Requirements

Prerequisites: One course in statistics (e.g., STAT 330), providing knowledge of basic descriptive statistics, significance tests of group differences (e.g., Z and t-tests), and correlation, or permission.

Learning Objectives

By the end of class, students should be able to:
- Use appropriate quantitative or qualitative research methodologies to observe, describe, understand, and predict human behavior.
- Articulate the power and the limitations of statistical reasoning.

Teaching Method

Seminar

Class Materials (Required)

Winter, B. Statistics for Linguists: An Introduction Using R. ISBN 9781138056091.

Class Notes

Class attendance is required.