Data Analysis I & II
Statistics R Graduate

Data Analysis I & II

• 1 min read

I taught the Data Analysis sequence to incoming Doctoral and Masters students in the Psychology program. The course also draws graduate students from Linguistics, Business, Anthropology, Communication Sciences and more. I taught this course yearly from 2019 until I left the University of Oregon in 2026.

Data Analysis I

Topics covered:

  • Summary statistics (means, standard deviations, correlations)
  • Probability theory
  • Sampling
  • Frequentist inference (p-values, power, Type I error)
  • Comparing means (t-tests)

Course website | GitHub

Data Analysis II

I frequently taught the second term of Data Analysis (2020-2023).

Topics covered:

  • Regression and the general linear model
  • Covariates and control variables
  • ANOVA and Factorial ANOVA
  • Interactions and moderation

Course website | GitHub

View Course Website GitHub Repository