Catalog Description: Introduces application of statistical principles and techniques to psychological research. Topics include descriptive and inferential statistics, significance testing, t-tests, analysis of variance, correlation and regression, and non-parametric tests. Required course for PSYC majors.

I know, statistics can be scary. I promise that I will do my best to make it fun and meaningful! This will be a hands-on, project-based class where you will practice running your own analyses in the R programming language. Imagine being able to answer questions such as “Which group has significantly stronger satisfaction scores?” or “Does year in school, age, and residence hall predict academic success?”

Spring 2026 Schedule: Tues/Thurs, 1:15pm-2:30pm

This NEW class covers psychometrics and multivariate methods, designed for students who completed PSYC 109 (and enjoyed it!) and would like to continue developing their statistical and data analysis skills. Topics will include factor analysis, structural equation modeling, advanced regression, and other methods. The class will be project-based, with students learning advanced methods and applying it to their own semester-long data analysis project (whether it’s for their research lab, their thesis, a consulting project, or anything else that requires data analysis). Space is limited; please enroll early!

Spring 2026 Schedule: Tues/Thurs, 2:45pm-4:00pm

You can download a DRAFT copy of the syllabus here.

I am developing a new special topics seminar on vocational psychology, designed for students who completed PSYC 37 and would like to continue learning and exploring topics within organizational studies. Topics will include career development, sense of calling and vocation, meaningful work, and more. Students will read research articles and other literature, lead discussion sessions on these topics, and write reflection papers applying these theories to their own careers.