Sunday, August 14, 2022

My Syllabi For Stats for Fall 2022

Life is so hard and I like to share stuff to make teaching statistics a bit easier.

Here are my syllabi for stats this fall (Honors Psyc Stats, Psyc Stats).

They have been inspired by some of the amazing, re-imagined syllabi I've seen shared on Twiiter and Facebook. While I share these with my students in .PDF form, these versions are in .PPTX form in case you want to steal them.

Friday, August 12, 2022

Leo DeCaprio, the ages of his girlfriends: Regression in real life.

Ok, so this from Reddit:



This, of course, inspired me to cook up an example for Psych Stats, in the catty spirit of this very judgmental regression about the life and love of Dennis Quaid.

Here is a Google Sheet that contains ALL of the data featured above, as well as a sheet that contains JUST the GF's age when they first started dating. Maybe this example is a little better for our younger students who haven't heard of Dennis Quaid. Anyway, enjoy.



Tuesday, August 2, 2022

Another recent publication with lots of Psych Stats-friendly data analysis

Alright, kismet, coincidence, I don't know. Still, I'm noticing all of these recent and good scientific articles contain the types of statistical analyses we typically teach in Psych Stats.

Like this article:


Hatano, A., Ogulmus, C., Shigemasu, H., & Murayama, K. (2022). Thinking about thinking: People underestimate how enjoyable and engaging just waiting is. Journal of Experimental Psychology: General. Advance online publication. https://doi.org/10.1037/xge0001255


TL;DR: People think they won't enjoy being alone with their thoughts. BUT THEY DO, as the authors demonstrated throughout five experiments. And those experiments contained a bunch of t-tests (and open data). There are even a couple of ANOVAs in there. 
This is a fine example of how to flesh out a hypothesis using a multi-study design. And it is a round-about way of making our students (and ourselves) reflect on how we feel about boredom, alone time, and technology.

It also contains some very effective data visualization (and also some effective tables):

A data visualization for Experiment 5, featuring error bars, violin plots, and participant-by-participant plotting.
Will you look at that? A simple research design, with a simple t-test, but visualized very well to demonstrate variability. I feel like these participant-by-participant level illustrations are more honest.


A table containing findings from Study 3 of the experiment.
Maybe data viz. isn't your thing, or what you are teaching a bunch of junior statisticians? No problem, there are also several great tables in this research.