✅ Investigation Data Quality Check

Students pause data collection to review their notebooks using a Data Quality Checklist focused on completeness, consistency of units, controlled variables, and clarity of documentation. Pairs exchange notebooks and give specific feedback to one peer about missing data, unclear procedures, or measurement errors. Students revise entries as needed and complete a short individual methodology check with 4–5 questions on variables, fair tests, and magnetic cause-and-effect relationships.