Introduction to Experimental Methods

Undergraduate / Graduate

This course will cover basic topics in experiment design, data collection, and statistical analysis. To demonstrate different design and methodological considerations, we will look at data sets from different research methods including self-paced reading, acceptability judgment, production, etc. In addition, we will cover statistical methods including t-tests, ANOVAs, linear/logistic regressions and mixed-effect models. Students will gain hands-on experience using R as a data analysis tool. This course is meant to prepare students for more advanced data analytic courses in the future. Previous experience in R is not required.