Courses / Assessment Methods & Selection
29. Item Analysis
Analyzing individual item statistics (difficulty, discrimination) to refine assessment quality.
Assessment Methods & Selection
Item Analysis
Item analysis is the process of examining each test question’s stats (difficulty and discrimination) to improve assessment quality.
"I need to know which questions truly separate strong candidates from weak ones, not just which ones most people got right."
Item analysis uses per-item statistics — primarily difficulty (proportion correct) and discrimination (how well an item differentiates high vs. low performers) — to decide which items to keep, revise, or drop.
"I need to know which questions truly separate strong candidates from weak ones, not just which ones most people got right."
Item analysis uses per-item statistics — primarily difficulty (proportion correct) and discrimination (how well an item differentiates high vs. low performers) — to decide which items to keep, revise, or drop.