%0 Conference Paper %B Annual Conference of the International Association for Computerized Adaptive Testing %D 2011 %T Impact of Item Drift on Candidate Ability Estimation %A Sarah Hagge %A Ada Woo %A Phil Dickison %K item drift %X

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.

%B Annual Conference of the International Association for Computerized Adaptive Testing %8 10/2011 %G eng %0 Conference Paper %B Annual Conference of the International Association for Computerized Adaptive Testing %D 2011 %T Practitioner’s Approach to Identify Item Drift in CAT %A Huijuan Meng %A Susan Steinkamp %A Paul Jones %A Joy Matthews-Lopez %K CUSUM method %K G2 statistic %K IPA %K item drift %K item parameter drift %K Lord's chi-square statistic %K Raju's NCDIF %B Annual Conference of the International Association for Computerized Adaptive Testing %8 10/2011 %G eng