Quantitative Methods in Psychology

An intensive introduction to statistical reasoning in psychological research

This course is an algebra-based introduction to statistics for psychology. It covers the foundational principles of classical statistics (probability, sampling, regression), the most common hypothesis testing techniques (t-tests, analysis of variance, chi-square), and serves as an introduction to the R statistical software. Statistics is not “those formulas in the book” but a subject that is used and debated every day within our society, and this course connects each procedure to its historical development and its contemporary applications.

This site collects the full course materials from the Summer 2020 edition:

  • Content: the complete slide decks for all 20 lectures, viewable in the browser
  • Syllabus and Schedule: course policies, learning objectives, textbook, and the day-by-day plan
  • Assignments: nine weekly problem sets plus the midterm and final exam
  • Resources: R basics and the course style guide

Course information

Instructor

Course details

  • Monday - Thursday
  • July 6 - August 12, 2020
  • 2:00 - 4:30 PM
  • Online (remote)

Contacting me

E-mail is the best way to get in contact with me. I will try to respond to all course-related e-mails within 24 hours on weekdays.