Messy Student Data? The Tidy Data Framework Every Educator Needs

If your data spreadsheets feel chaotic — columns that don't make sense, values that don't match, and analyses that keep breaking — the problem isn't your skills. It's your structure. In this video, Dr. Matthew Courtney breaks down the 5 core principles of tidy the structural framework developed by researcher Hadley Wickham that makes any data set easier to manage, analyze, and trust. Every example uses real student performance data so you can see exactly how these principles apply in a school context. ⏱ CHAPTERS 0:00 — Introduction: The Chaotic Library Problem 0:32 — What Is Tidy Data? (And Who Created It) 0:54 — Principle 1: Columns Represent Variables 1:35 — Principle 2: Rows Represent Observations 2:02 — Principle 3: Each Observational Unit Gets Its Own Table 2:40 — Principle 4: Consistent Values Across Your Data Set 3:09 — Principle 5: Appropriate Data Types 3:43 — Putting All 5 Principles Together In this video, you'll learn: ✅ What tidy data actually is — a precise structural definition, not just "organized spreadsheets" ✅ Why each column should represent exactly one variable (and what goes wrong when it doesn't) ✅ How organizing rows as single observations makes it easy to compare students and track growth over time ✅ When to separate data into multiple tables — and how unique identifiers keep them linked ✅ Why inconsistent missing-value codes (NA vs. "not available" vs. blank) silently break your analysis ✅ How storing grades as text instead of numbers prevents the statistical operations you actually need This is part of the Evidence Empowered Educator (E3) Method — translating peer-reviewed research into strategies you can use Monday morning. 🔔 Subscribe for weekly evidence-based strategies for K-12 school leaders and educational researchers — no fluff, no motivational anecdotes, just what the research says. #DataLiteracy #ResearchMethodology #DataDrivenDecisionMaking #InstructionalLeadership #PrincipalLeadership