• Using item analysis to target questions that are too hard or too easy and are not providing sufficient differentiation in knowledge (e.g., 100% of students answered correctly).
• Being mindful that tests that are valid for one use or setting may not be valid for another.
• Basing high-stakes decisions on multiple measures instead of a single test.