Teaching multivariate statistics to graduate students using JASP
I’m wondering how I might find out whether anyone in the JASP community is using it to teach an intermediate-level “multivariate statistics” course that would include such topics as MANOVA, factor analysis, discriminant analysis, clustering, mediation analysis, and at least an introduction to structural equation modeling. The course I’m planning will be for graduate students in psychology who do not want to deal with the time and aggravation of learning R – and from everything I can tell, JASP has at least 95% of what any of them actually will need from the course. Our department has more advanced courses (SEM, etc.) but this course is an important bridge for many of our students who need to be able to analyze their data but don't want to have to spend inordinate amounts of time doing "programming" to accomplish that.
Any suggestions that you might be able to offer would be greatly appreciated. As I go ahead with the course, in turn, I’ll be happy to share materials that get developed or modified along the way. Feel free to reach out to me (Tim Strauman, Duke University) via email (tjstraum@duke.edu) or just post a response here. Thank you!
Comments
I will tweet this (sorry about the tardy response). We are in the process of constructing a forum specifically for teachers, but that is work in progress.
Cheers,
E.J.
[I have now tweeted this, https://twitter.com/JASPStats/status/1332345849700114433]