Adaptive Measurement of Change in the Context of Item Parameter Drift.

ABSTRACT: Adaptive measurement of change (AMC) uses computerized adaptive testing (CAT) to measure and test the significance of intraindividual change on one or more latent traits. The extant AMC research has so far assumed that item parameter values are constant across testing occasions. Yet item parameters might change over time, a phenomenon termed item parameter drift (IPD). The current study examined AMC's performance in the context of IPD with unidimensional, dichotomous CATs across two testing occasions. A Monte Carlo simulation revealed that AMC false and true positive rates were primarily affected by changes in the difficulty parameter. False positive rates were related to the location of the drift items relative to the latent trait continuum, as the administration of more drift items spuri

SUBMITTER: Cooperman AW 

PROVIDER: S-EPMC11683792 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature