The following course notes are from my ANOVA course for first semester first year graduate students. The materials were created in R markdown to supplement the verbal lectures. Most of the lectures simulate datasets to allow students to connect the data with how the analysis can be interpreted.
You can download each of the lectures, by clicking the Code button at the top right of each lecture. These can be opened in Rstudio. You can find details on how to work these types of files here.
Each lecture has in-class assignment & homework component (all in R markdown files) which used simulated or real data sets about in-progress or published psychological studies. I have not included these because of some of the data sources, but I am happy to provide (most of) them to any instructor interested.
The course was designed using this reference text, Cohen, B. (2008). Explaining Psychological Statistics. Hoboken, NJ: Wiley & Sons, Inc. I did not cite it through the notes, but you can assume many of the concepts are from the book (unless otherwise cited to another source).
Warnings: These notes are likely full of errors (statistical, code, or grammatical).
Corrections & Comments are appreciated!