When we first set out to write this blog, we were really only thinking about using R to analyze data with single-subject designs - and SSD for R was born and our book was written!
But, as we worked on that software and book, we did a lot of reading and spoke to a lot of people. We piloted SSD for R with students, and we talked to each other about it a lot. We came to the same (anecdotal) conclusion - using R is just as easy for students to use as any other statistical software package. Even those really slick menu-driven packages. Even those really expensive proprietary packages that EVERYONE uses.
In fact, R seemed to have a distinct advantage over those for our students - it is free so students could easily download it at home at no cost and mess with it. And with a little prodding, they have! And so a new idea was born - what if we taught ALL our Master's-level courses with R?
This is just what we did this summer at Wurzweiler - all Master's-level research courses were taught using R with great success! Over the next few blog posts, we will share a bit of what we have done with R in our classes. We hope to inspire YOU to check out R more, too!
What do you want to know about using R in the classroom? Let us know!
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