00770nas a2200145 4500008004100000245005700041210005700098260001200155520031700167653001500484100001700499700001300516700001900529856007600548 2011 eng d00aImpact of Item Drift on Candidate Ability Estimation0 aImpact of Item Drift on Candidate Ability Estimation c10/20113 a
For large operational pools, candidate ability estimates appear robust to item drift, especially under conditions that may represent ‘normal’ amounts of drift. Even with ‘extreme’ conditions of drift (e.g., 20% of items drifting 1.00 logits), decision consistency was still high.
10aitem drift1 aHagge, Sarah1 aWoo, Ada1 aDickison, Phil uhttp://iacat.org/content/impact-item-drift-candidate-ability-estimation