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Shameless self- (and STP) promotion

1. Did you know that the Society for the Teaching of Psychology maintains Project Syllabus ? This is a list of juried syllabi for every psychology class imaginable. I went through the process of submitting my undergraduate Positive Psychology syllabus . In addition to performing a bit of national service, I also had the chance to improve my syllabi via peer review guided by the Project Syllabus rubric . In particular, I appreciated the suggestion to clearly spell out WHY I use the assessments that I use. I already had included my employer-compulsory linkages between learning outcomes and course assessment, but I added information, in plain English, regarding what I hope my students learn from the different assignments in the course. Project Syllabus includes hundreds of these juried syllabi. This list includes 12 different statistics classes as well as over 20 research methods classes. I highly recommend submitting your own syllabi for a great class that you teach, or using this...

McDaniel's "Generic Syllabus Maker"

I use a syllabus in my stats class, ergo making this not-statsy resource relevant to a blog about teaching statistics. Alright, I hate putting Week 1, Week 2, etc. on my syllabus, as much for myself as for my students. But, revising my syllabus every semester and trying to put the dates in can be annoying. No more. Caleb McDaniel ( @wcaleb ) created the "Generic Syllabus Maker" , which allows you to select the days of the week when you teach, and the start and end dates of your semester, and returns the class meeting dates in the format you select. 

Chase's "How does rent compare to income in each US metropolitan area?"

Positive, interactive linear relationships, y'all. Chase, of Overflow Data , created a scatter plot that finds that as income goes up, so does rent. Pretty intuitive, right? I think intuitive examples are good for students. Cursor over the dots to see what metro area each dot represents, or use the search function to find your locale and personalize the lesson a wee bit for your students.

Wang's "What caused Texas' maternal death rate to skyrocket? Inaccurate data."

Writing for the Dallas News, Jackie Wang describes how data entry errors lead to the erroneous belief that Texas pregnancy related death rates were more than double the national rate. Short story: Texas thought it had terribly high rates of pregnancy related deaths. It didn't. Turns out that folks were just using the online system for reporting cause of death incorrectly. So, human data entry errors lead to what looked like a spike in maternal deaths. Like, whenever I make a change in my grade book columns in Blackboard, I always forget to hit "Save" and then the changes I make aren't saved. Only here, that sort of small error caused Texas to think that death rates for pregnancy complications was 14.6:100,000, not the reported 38.4:100,000. Which is an enormous difference. And a lot of money was spent to rectify the problem, which wasn't a problem, but those actions were probably still good for women and babies and families. This article details how Texas had ...

NYT's "What's going on in this graph?"

The New York Time's maintains The Learning Network, which contains news content that fits well into a variety of classrooms teaching a variety of topics.  Recently, they shared a good stats example. They created curves illustrating global climate change over time. The top graph illustrates a normal curve, with normal temperature as the modal value. But as we shift forward in time, hot days become modal and the curves no longer overlap. Sort of like the classic illustration of what a small to medium effect size looks like in terms of distribution overlap.  This graph is part of the NYT's "What's going on in this graph?" series , which are created and shared in partnership with the American Statistical Association.

A psychometrics mega remix: Hilarious scales and anchors

I am avoiding grading and trying to make this here blog more usable, so I am consolidating all of my funny scale examples into one location. Feast your eyes on this! https://earther.com/we-finally-know-what-hot-as-balls-really-means-1825713726 http://hyperboleandahalf.blogspot.com/2010/02/boyfriend-doesnt-have-ebola-probably.html http://notawfulandboring.blogspot.com/2018/01/this-is-very-silly-example-for.html

Geckoboard's "Data fallacies to avoid"

Geckoboard created a list of common statistical fallacies , including cherry picking, Simpson's paradox, gerrymandering, and many more. Each fallacy comes with a brief description of the fallacy, references, a printable card for review/display, and drawing. They are kind of gorgeous and to the point and helpful. https://www.geckoboard.com/learn/data-literacy/statistical-fallacies/sampling-bias/ Here is the downloadable card for the Regression Toward the Mean: https://www.geckoboard.com/assets/regression-toward-the-mean.pdf They even present all of their graphics as  a free, downloadable poster . My only peeve is that they use the term "Data Dredging" where I would have said "HARKing" or "Going on a fishing expedition". And that is just the tiniest of peeves, I think this is a good check list filled with images and concise descriptions that would look beautiful in a college professor's office, a stats class room, or anonymously ...