Research methods and statistics are a part of nearly every undergraduate psychology curriculum. They get dedicated courses of their own as well as coverage within other courses. In this episode we step back and reflect on how they should fit into an undergraduate curriculum and how we should be teaching them. Can and should we try to teach them important concepts without the underlying math? How do we integrate methodology into "substantive" teaching about psychology theories and findings? What should we do with the knowledge that many, probably most of our students will never calculate a correlation coefficient or run a t-test after they graduate? How idealistic versus pragmatic should we be about teaching these topics and what we'll actually get across? Plus: We respond to a letter from a new-ish grad student about mentoring an undergraduate who is writing their first paper.
The Black Goat is hosted by Sanjay Srivastava, Alexa Tullett, and Simine Vazire. Find us on the web at www.theblackgoatpodcast.com, on Twitter at @blackgoatpod, on Facebook at facebook.com/blackgoatpod/, and on instagram at @blackgoatpod. You can email us at email@example.com. You can subscribe to us on iTunes or Stitcher.
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This is episode 61. It was recorded on June 19, 2019.