A few end-of-the-semester reflections on my grad-level intro to GLMM with #RStats course: 1/4

Dec 7, 2021 · 8:43 PM UTC

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Other than my first lecture which contained typical course orientation stuff, all lectures were given exclusively with RNotebook files. Since the goal was to get students comfortable working within RStudio, this worked great. No need for PowerPoint. 2/4
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I uploaded the bulk of my materials on the @OSFramework, which you can find at osf.io/3g8vf/. This seemed to work nicely for my purposes, and I intend to do this for future courses. 3/4
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It is indeed possible to take first-year grad students from simple OLS all the way up to the GLMM, but it’s a brutal sprint. Sacrifices were required. A two-semester curriculum would have been ideal. 4/4
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Also, I liked working with the ebooks by Ismay and Kim (moderndive.com/E-appendixE.h…), and Roback and Legler (bookdown.org/roback/bookdown…). The supporting materials for the latter, though, were not the best and I found is difficult to use their data sets. Improvements could be made. 5/4
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Replying to @SolomonKurz
Out of curiosity: What was the general level of math \ statistical background of the students?
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Replying to @SolomonKurz
It sounds like it went well! 😊. Really happy for you! And thanks for sharing your insights and materials! Very useful and informative. Love the setup by the way 😊
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Replying to @SolomonKurz
Nice colorization - it is the black hole that attracts our attention and consumes our energy!
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In fairness, we were primarily in the gold square during the semester
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Replying to @SolomonKurz
Thank you for sharing! The resources are great.
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