Workshop for the Learning and Teaching Conference 2023 at the University of Glasgow.
In this talk, I provide an overview of equivalence testing using R. There are two worked examples where I use open data to demonstrate the limitations of traditional Null Hypothesis Significance Testing (Bem, 2011) and applying equivalence testing and the decisions that go into it (Ditta & Woodward, 2022).
In the Github repo, there are two key files:
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Equivalence_testing.html - These are the rendered version of the slides which you can view via Github pages: https://bartlettje.github.io/equivalence_workshop/Equivalence_testing.html
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Equivalence_testing.qmd - This is the background Quarto file I used to create the slides and apply the analysis techniques. You can see the commented code for running the analyses and run the chunks like any R Markdown file if you're used to working with them. Providing the data downloaded from the repo are in a subfolder called Data, it should run providing you have the packages installed.
Bem, D. J. (2011). Feeling the future: Experimental evidence for anomalous retroactive influences on cognition and affect. Journal of Personality and Social Psychology, 100(3), 407–425. https://doi.org/10.1037/a0021524
Ditta, A. S., & Woodward, A. M. (2022). Technology or tradition? A comparison of students’ statistical reasoning after being taught with R programming versus hand calculations. Scholarship of Teaching and Learning in Psychology. https://doi.org/10.1037/stl0000327