Repeated Measures ANOVA

TABLE OF CONTENTS:

18–A: 'Tidying' Your Data

We will be introducing tidyverse packages in R during this lesson. The tidyverse (https://www.tidyverse.org/) is a collection of packages in R for data science. These packages all share a common design philosophy, grammar, and data structure so they can work in harmony together.

Specifically, we will introduce data transformations using the spread and gather packages. to tidy our data – in other words, to get them into the format used by the tidyverse. The following images from Allison Horst detail why and how it is important to tidy our data as well as visually depict how spread and gather alter our data. We also cover this in detail in our video.

18–B: Introduction and Learning Outcomes

Video (0:52)

18–C: Installing/ Loading Packages & Information

Note that when working through the .Rmd files, R packages will often need to be installed, and libraries loaded. Do NOT quit R while installing or loading packages and libraries. This can corrupt crucial files. Instead, you can STOP the process (by clicking the red stop sign in the upper right corner of the console) and then quit the program, or wait until the process has been completed.

Video (8:55)

18–D: Research Question & Hypothesis

Video (1:52)

18–E: Preparing Our Data

Video (8:41)

18–F: Repeated Measures One-Way ANOVA Assumptions

Video (9:45)

18–G: Analysis and Interpretation

Video (9:33)

18–H: Post-Hoc Analyses

Video (6:51)

18–I: Final Write Up

Video (5:46)

18–J: Depicting the Results of a Repeated Measure One-Way ANOVA Visually

Video (5:45)