This page includes openly available teaching materials I have created.
Written by Jason Geller
Upper-level course I taught in Fall 2021. This course examined the basics of research as well as the different methods cognitive scientists use to examine the mind/brain. There was a focus on replication and open science and the class culminated in a final PscyhoPy project that had to run online.
Graduate-level coure course taught in Fall 2022, Spring 2023, Fall 2023, Spring 2024. This seminar introduces graduate students to methods and research practivces by having guest speakers from all over the world give talks. We have had Daniel Lakens, Deb Mayo, Bob Calin-Jageman, Paul Brukner, Chelsea Parlett-Pelleriti, Erin Buchanon, Patrick Curran, Greg Hancock, Amanda Montoya, and many others
Graduate-level course taught in Spring 2023 and Spring 2024. This course introduces graduate students to advanced statistical methods. We discuss: 1.Robust Methods: bootstrapping, permutation tests 2.Missing Data 3.Non-Gaussian statistics: poisson regression, ordinal regression 4.Beyond Null Hypothesis Significance Testing (NHST): Structural equation models, Bayesian hypothesis testing 5.Process models: Mediation, multiple mediation, path analysis 6.Dimension reduction: principal components analysis (PCA), clustering
Graduate-level Course course I taught in Fall 2022 and Fall 2023. This course introduces first-year psychology students to the basics of statistics with an emphasis on the general linear model and how to use R/RStudio.