Tuesday, May 29, 2018

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 resource to develop a new course or improve upon an existing class.

2. Did you know that STP publishes "This is how I teach" interviews with STP members? Here are mine. They are a good source of inspiration, new ideas, and camaraderie that I value so much. Here is my interview. "

Thursday, May 24, 2018

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. 

Thursday, May 17, 2018

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.

Tuesday, May 15, 2018

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 its own mini Replication Crisis. After the awful numbers came out, Texas investigated its own data. Instead of needing to radically alter how pregnant women are treated in Texas, they found that they really needed to improve training for the online reporting of deaths.

How to use in class:
-The article I've linked above includes links to peer-reviewed, published research articles about pregnancy related deaths in Texas.
-This is an example of good science writing.
-This is an example of human factors (the data entry method for filing death certificates led to the high error rates).
-This is also a soft example for the need to replicate and follow up on research findings when research findings seem wonky.
-Double check your data entry, kids!

Thursday, May 10, 2018

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.

Thursday, May 3, 2018

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!