One common problem I notice is that schools and districts often use different types of data for purposes they aren’t built to serve. The best way to prevent this issue is to understand the difference between screening, diagnostic, fidelity, and outcome data.
Tag Archives: data analysis
Be prepared: Three practices to make your data meetings effective and efficient
-by Annmarie Granstrand James Clear, author of Atomic Habits, shares that we don’t rise to the level of our goals, we fall to the level of our systems. As a literacy coach, I was always on the hunt for routines that could bear the weight of big data. Here are some strategies to build intoContinue reading “Be prepared: Three practices to make your data meetings effective and efficient”
Ongoing Professional Learning with Data
-by Timothy (Tim) Grivois, Ed.D. I frequently lead professional learning on how to use data effectively, most recently with Youth On Their Own, a Tucson-based nonprofit that supports youth without a permanent place to live in graduating high school. Over the years, I’ve collected a few topics that tend to be effective for whole-staff trainings,Continue reading “Ongoing Professional Learning with Data“
Two reasons why your team resists data.
-by Timothy (Tim) Grivois, Ed.D. Right now, I’m working on a presentation on data for Youth On Their Own a nonprofit in Southern Arizona that supports youth without permanent homes to graduate high school. Like many of the schools, nonprofits, and government agencies I work with, data is at the heart of what Youth onContinue reading “Two reasons why your team resists data.”
Keep your relationship with data solution-oriented
When used effectively, data accelerates your team’s progress. Get the most out of the data you and your team use by developing a solution-oriented relationship with data.
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Three reasons you’re struggling with data.
Supporting social, emotional, and academic achievement requires schools to know their students and their systems well, and to do this, data is crucial. If your team is struggling to use data to make decisions, here are the top three reasons why: