The thing about my way of teaching stats is that my cool, novel examples get old really fast. Like, pop culture is on a thirty-day cycle. Anyway, YEARS ago, 2014 to be exact, I blogged about illustrating bimodal data distributions using baby name data from the Social Security Administration. Specifically, when an older name comes back into vogue, it has a bimodal distribution when you plot time on the X axis. I stand by this example. However, all of the data illustrations come from 2014. When our traditionally aged college students were 6 or 7. Which makes this example feel a little stale. However, here is some data, courtesy of Redditor fevaah , showing old names that are back in vogue through 2025 ! And Eleanor, Violet, Nora, and Hazel are here, illustrating bimodal distributions for a new generation. If you used my old baby-name data, this is a quick, easy refresh for your lectures (or a fun new addition if you didn't). If this idea was help...
Center for Open Science (COS) is an organization that seeks " to increase openness, integrity, and reproducibility of scientific research " . As a social psychologist, I am most familiar with COS as a repository for experimental data. However, COS also provides free consulting services as to teach scientists how to make their own research processes more replication-friendly . As scholars, we can certainly take advantage of these services. As instructors, the kind folks at COS are willing to provide workshops to our students (including, but not limited to, online workshops). Topics that they can cover include: Reproducible Research Practices, Power Analyses, The ‘New Statistics’, Cumulative Meta-analyses, and Using R to create reproducible code (or more information on scheduling, see their availability calendar ). I once heard it said that the way you learn how to conduct research and statistics in graduate school will be the way you...