Course Syllabi
Below are the most up-to-date syllabi for the courses I have taught.
Social Psychology
Additional semesters: Spring 2026, Fall 2025, Spring 2025, Spring 2024, Fall 2023
Introduction to Statistics
Fall 2026 Syllabus (Jamovi)
Additional Jamovi-based semesters: Fall 2025, Fall 2022
Additional R-based semesters: Spring 2023, Spring 2022
Research Methods in Psychology
Additional semesters: Fall 2025
Introduction to Psychology
Fall 2024 Syllabus
Additional semesters as a single course: Fall 2023
Additional semesters as a 2-part sequence: Spring 2022, Fall 2021, Spring 2021, Fall 2020
Psychology of Public Policy
Spring 2024 Syllabus
Also taught Fall 2021; Fall 2022,
This course is my upper-level seminar course. Since it is a 300-level class, mainly with juniors and seniors, students organize in the first class to bargain assignment weights and class policies. The goal of the course is to lobby Congressional staff on an issue that they select backed with psychological science.
This course received the 2022 Action Teaching Award from SPSSI.
Applied Statistics in the Life Sciences
Spring 2023: Syllabus: (Hosted on Google Docs)
Also taught Spring 2022.
Self-designed R Labs include:
Advanced Lab in Political and Social Psychology
Fall 2024, Spring 2022
Coding in R for Beginners
JayTerm 2023
Also taught in JayTerm 2022 (See Syllabus)
Psychology of Human Rights
This was my first seminar course designed in graduate school, and I brought it with me to W&J. The goal was an interdisciplinary course in which we applied psychological research to small pieces of literature and media about human rights. Students wrote a research paper examining a piece of media or literature of their choice and how they could apply and see psychology within it.
Also taught in Spring 2018 at the graduate level.
Psychological Statistics You Can Handle
This project received the Society for the Improvement of Psychological Science’s Grants In Aid To Improving Psychological Science in Spring 2023.
This class is hosted in the swirl() package. This is an interactive learning class in R. The class is designed to be a supplement to Research Methods, teaching students how to code in R. Students are given chances to choose from multiple choice questions, input command line answers, and even edit R Scripts. Students are taught how to use packages such as ggplot2, the tidyverse, stats, and psych. Students are able to rate each lesson and provide feedback to the instructor so I can better improve the class.