|Title||Impact of Item Drift on Candidate Ability Estimation|
|Publication Type||Conference Paper|
|Year of Publication||2011|
|Authors||Hagge, S, Woo, A, Dickison, P|
|Conference Name||Annual Conference of the International Association for Computerized Adaptive Testing|
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.