New year, new course: "Programming Methods for Psych Research" for grad Ss at U of MN. My goal is to teach theoretical & practical aspects of computing for more rigorous & reproducible research. This is my #rstats & #openscience goal for 2019, & I'd appreciate your input: (1/7)
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In an effort to be more inclusive and effective, the course does not assume *any* prior programming experience, so we will be learning the fundamentals of programming in both Python and R. I believe at least some fluency with each will best prepare students for the future. (2/7)
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We will also cover practical extensions of these fundamentals, such as
#tidyverse,@psychopy, &#rmarkdown (others under consideration), as well as version control and preregistration (w/ power analysis) on@OSFramework, and how to run online studies. (3/7)1 reply 1 retweet 7 likesShow this thread -
It's a lot to try to cover in 15 wks, & I'm trying not to overlap too much w/ other courses. I also plan to adapt and adjust to students' experience and interests, so flexibility is key. But I want to build a strong core of material/skills for students to leave w/, so... (4/7)
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I've been collecting resources and ideas for the past couple months as I developed my course pitch idea (I'm an adjunct lecturer, so I could not have gotten this approved without the incredible support of TT faculty), and I have drawn ideas from these: (5/7)
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https://learningstatisticswithr.com by
@djnavarro, https://gupsych.github.io/data_skills/index.html … by@dalejbarr and@lisadebruine, and the syllabi/materials shared on https://osf.io/vkhbt/ . These are a great help and wonderful resources! (6/7)1 reply 1 retweet 5 likesShow this thread -
But I don't have time to do it all. So my Q to you is: ***What would YOU want to learn from an open science programming course?*** I am open to any and all suggestions if I can fit them into the course / offer them as an option to students. Thank you, and Happy New Year! (7/7)
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(
@elneurozorro@o_guest@StacyTShaw@7awny@Ivuoma@hannah_schacter@derekpowll@zachshorne@JkayFlake@aeryn_thrace@IrisVanRooij @PabloCceres@HeatherUrry and anyone else!) PS I will happily share my course materials openly online as well! Thank you. (8/7)8 replies 1 retweet 6 likesShow this thread -
Replying to @JKBye @elneurozorro and
This is really great!! I would want to learn R markup and how to use github. I 2nd what others have been saying about python: basic intro would be nice to know it exists and then share resources (it's so well documented!)
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Replying to @7awny @elneurozorro and
Thank you! I considered Github but opted to just focus on OSF for now because I didn’t think there was time to adequately fit Github in and OSF (while narrower in focus) is easy to pick up (+ bonus prereg). However I might add Github as an extra option for Ss to explore.
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Tangent! Markdown, if that's what you mean, is not R specific and you can totally learn it within minutes. Lots of quick and easy guides.https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet …
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Thanks, this is a great guide!
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