Ever wanted to investigate DIF by more than one variable at once? My colleague Ethan McCormick and I have created an NCME ITEMS module on DIF analysis with multiple background variables using moderated nonlinear factor analysis. Take a look! www.ncme.org/itemsportal/...
We went over the pros and cons - LLMs are a great resource but use with discretion and always work through to reinforce understanding.
I taught an R for Data Science course last term. We work through examples in the r4ds book and then for homework students do problems I’ve created. A student asked if they can ask ChatGPT etc for help. I said, yes?
Saturday Night (Netflix) is pretty good. It feels like one big frenetic sketch, obviously exaggerating the mayhem and tension of down to the wire planning, but it feels very 70s and is cool to learn some of the history.
Equating happens, in some fashion, basically every year with every state test. This isn't news at all. And ironically, it's *not using equating* that would represent a change in standard because you might happen to pass only because you got an easier test.
NY state didn't "lower the bar" and there wasn't any "tweaking" or "test-tinkering" as the article claims. From what I can tell (no sources are given), they increased scores in some grades and subjects to account for tests that were slightly more difficult in 2025 vs 2024. That's just equating.
I confessed that I’ve never used them for coding, or really for anything, and the class was shocked 😬 Maybe I’ve just optimized regular old online search when I have a problem? Or maybe I’m missing out on some big gains?
