OK. Lotte van Rijswijk, writing for Resume.io,  used Instagram photos to determine the happiest college in the United States, United Kingdom, and Australia . Here is the Top 20 list for the US. If you visit the website, you can view similar summaries for the UK and Australian data, as well as an interactive table containing all the data. Here are some ideas for using it in class: 1. This methodology is pretty interesting. She used smiling recognition software and pictures from Instagram to measure happiness. I think this study would pair well with this study about using software to evaluate smiles: https://journals.sagepub.com/doi/10.1177/0956797617734315 https://resume.io/blog/the-happiest-schools-in-the-us-uk-and-australia 2. Ask your student to consider the sampling error that may result from using Instagram data for any research. For example, are photos on Insta representative of human experiences? Is it reasonable to gather a sample of college-aged students using Insta? 3...

Conflict of interest statement: I am slightly shorter than the average American woman. But I'm adorable, so I score low on the Dark Triad?? This blog post started with me giggling at click-bait headlines, but THEN I realized this is one of those rare articles that use data analyses that we teach in Psych Stats. The journey began when I saw this on Twitter: Hilarious, right? Not to be outdone, the NY Post ALSO needed to cover this study:   https://www.google.com/amp/s/nypost.com/2023/02/27/short-people-more-likely-to-be-psychopaths-study/amp/ I'm wheezing. Immediately, this was a great example of clickbait reporting. The research used The Dark Triad as the theoretical underpinning, and The Dark Triad is like what Mindfulness was 10 years ago in psych research. It is just everywhere. BUT...then I realized this is a very easy-to-read study that you could share with advanced UGs, no problem. What does the original research state? https://www.sciencedirect.com/science/article/pii/S...

 Alright. Stick with me. I had this idea when I was scrunching my hair this morning in a hotel in Long Island while on Spring Break. I'm sure this is also the situation that inspired Salk to create the polio vaccine.  So, stats tables. These are tricky to teach because we don't use them, right? Not as mid-level statisticians. The software computes a test statistic, looks up that statistic on the appropriate table, and then reports a p -value. But, simultaneously, the students need to understand what is going on "under the hood."  This is a thing that always catches me up in class. Given how we do statistics nowadays, I spend all this freaking time explaining something of very little real-world value. Sorry, Fisher! Sometimes it feels like I'm trying to teach them how to decode something. But I may have thought of an easier way to explain it. While scrunching. ANYWAY. I was scrunching my hair, and I thought, "Oh, test statistics tables ( F , t , X2) are like...

I love InformationIsBeautiful . They created my favorite data visualization of all tim e.  They also created an interactive scatterplot with all sorts of information about Marvel Comic Universe  films. How to use in class: 1. Experiment with the outcome variables you can add to the X and Y axes: Critical response, budget, box office receipts, year of release, etc. There are more than that; you can add them to either the X or Y axes. So, it is one website, but there are many ways to assess the various films. 2. Because of interactive axes, there are various correlation and regression examples. And these visualizations aren't just available as a quick visual example of linear relationships...see item 3... 3. You can ask your students to conduct the actual data analyses you can visualize because  the hecking data is available . 4. The website offers exciting analyses, encouraging your students to think critically about what the data tells them. 5. You could also squeeze Simp...

This example is from The Economist and behind a paywall. However, it is worth using one of your free monthly views to see these visualizations of how much improvement Ps experience. That said, whenever I talk about antidepressants in class, I remind my students MANY TIMES that I'm not that kind of psychologist, and even if I was, I'm not their psychologist. Instead, they should direct any and all medication questions to their own psychologist. This blog post was inspired by " Antidepressants are over-prescribed, but genuinely help some patients " from The Economist, which was in turn inspired by  " Response to acute monotherapy for major depressive disorder in randomized, placebo-controlled trials submitted to the US FDA: individual participant data analysis", by M.B. Stone et al., BMJ, 2022; "Selective publication of antidepressant trials and its influence on apparent efficacy: updated comparisons and meta-analyses of newer versus older trial s", ...

When I teach regression, I touch on AI/Machine Learning. Because it is fancy regression and ties classroom lessons to real life. During discussions about AI/ML, we often talk about "training" computers to look for something by feeding computers data. Which is slightly abstract. And a bit boring, if you are just talking about a ton of spreadsheets. As an alternative to boring, I propose you ask your students to help train Google's computers to recognize doodles . Visit this website, and a prompt flashes on your screen: You draw the prompt (I used my touchscreen), and Google tries to guess what you drew. Here is my half-done wine glass. Google guessed what it was. The website includes additional information on the data that has already been collected. For every one of the doodles above, you can click through and look at all the ones created in response to each prompt. SO MUCH INFORMATION. If you would like, you can also show your students this explainer video.

 Many of my students love a good manicure.  Sometimes, they come in with full-on talons.  The youth love manicures.  As such, the recent viral headlines about gel nail polish lamps and cancer matter to them.  #scicomm But what did the original research really study? https://www.nature.com/articles/s41467-023-35876-8#Sec12 (CHECK OUT THIS GREAT RM IMAGE FROM THE ORIGINAL RESEARCH!!!) This  short NPR story by Rachel Treisman  is a great summary. The NPR audio story is accompanied by a written report. In that report, Treisman succinctly summarizes the methodology: https://www.npr.org/2023/01/26/1151332361/gel-nails-cancer-manicure-safe 1. Let's talk about science communication. The NPR story is accurate science reporting. However, most of the headlines don't mention that a) some of the evidence came from mice cells, and they measured cell mutations but not cancer.  2. Let's talk about factorial ANOVA The researchers used a 3 (cell types: human 1, hu...