Most measurement stalls because the variable is too grand. “Engagement,” “success,” “well-being.” Shrink it. Pick the smallest indicator that (a) you can collect quickly and (b) would change what you do tomorrow. One click. One minute. One nudge. When a variable is small enough to act on, it earns its keep. And once a tiny […]
Minimum Viable Measure Read More »
“Participation” can mean eye contact, chat posts, or peer feedback. Until you say which, you haven’t measured; you’ve wished. An operational definition is a promise to your future self: “When I see X, I’ll count it as Y.” That promise reduces arguments and increases learning. Before you reach for a rubric or a dashboard, sharpen
Say What You Mean, Measure What You Said Read More »
We love talking about “the population”… all students, all courses, all outcomes. But you never hold a population in your hand. You hold a sample: this section, this semester, these ten advising notes. That’s not a bug; it’s the vehicle. A decent, honest sample moves you forward faster than a hypothetical population ever will. Treat
Some problems want bins. Others want measuring rulers. Calling students “on-time/late” highlights a threshold; logging “minutes late” reveals a gradient. Both are true… just different truths. Categories are for commitments (“Do we intervene?”). Quantities are for improvement (“By how much?”). If you’re stuck, ask: What conversation do I want to change: policy or practice? Then
Pick the Lens, Change the World Read More »
We don’t live in a clean lab. We live in the wild… half-filled forms, distracted students, glitchy software, good intentions. Statistics is not the hero of certainty; it’s the translator that turns mess into movement. When you ask a clear question and choose a measure that actually reflects it, you’re not “doing math,” you’re building
Statistics Is a Translation Layer Read More »
