TY - CONF T1 - Impact of Item Drift on Candidate Ability Estimation T2 - Annual Conference of the International Association for Computerized Adaptive Testing Y1 - 2011 A1 - Sarah Hagge A1 - Ada Woo A1 - Phil Dickison KW - item drift AB -

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.

JF - Annual Conference of the International Association for Computerized Adaptive Testing ER -