Advances in Statistical Methods and Research Practices in Psychology

PSY 505 • Fall 2022
Jason Geller
Princeton University

Logistics

We will meet once a week

Location

PSH 209

Lecture

Tuesdays 11:00 A.M.– 1:00 P.M.

Office

PSH 325

People

Instructor

Schedule

Here’s the roadmap for the semester.

  • Readings should be completed before each class session
  • Slides and other class materials will be added on the day of class
  • Assignments are due at noon on the day they are due (unless otherwise stated)

Research Issues and Practices Reading Slides Assignment Notes
Week 1 [T, 9/06] Introduction and Course Expectations Welcome!
[T] Install R and RStudio Prior to class, please install R and RStudio. A guide for how to do this is under Resources
Week 2 [T, 9/13] Tutorial: Introduction to R/Markdown/Papaja HW 1 due
Week 2 [T, 9/13] Cheat Sheet
Week 3 [T, 9/20] Seminar: Robert Calin-Jageman, Ph.D. (Dominican University) HW 2 due. Cody Dong leading discussion. Please download jamovi
Week 4 [T, 9/27] Tutorial: Data Wrangling in R
Week 5 [T, 10/04] Seminar: Daniël Lakens, Ph.D. (Eindhoven University of Technology) Claire Whiting leading dicussion
Week 6 [T, 10/11] Seminar: Ulrich Schimmack, Ph.D. (University of Toronto Mississauga) Henna Vartiainen leading discussion
Week 7 [T, 10/18] Break (No Class)
Week 8 [T, 10/25] Discussion: Open Science and Replication/Reproducibility
Week 9 [T, 11/01] Seminar: Bob McMurrary (The University of Iowa) Nicole Horner leading dicussion
Week 10 [T, 11/08] Seminar: Erin Buchanan, Ph.D. (Harrisburg University of Science and Technology) Sarah Joo leading dicussion
Week 11 [T, 11/15] Antoine Coutrot, Ph.D.(French National Centre for Scientific Research)
Week 12 [T, 11/22] Thanksgiving Break
Week 13 [T, 11/29] Tutorial: Data Visualization in R
Week 14 [T, 12/6] Presentations

This is a tentative schedule, and details may change as the semester progresses.