Online Calibration of Polytomous Items Under the Generalized Partial Credit Model.

ABSTRACT: Online calibration is a technology-enhanced architecture for item calibration in computerized adaptive tests (CATs). Many CATs are administered continuously over a long term and rely on large item banks. To ensure test validity, these item banks need to be frequently replenished with new items, and these new items need to be pretested before being used operationally. Online calibration dynamically embeds pretest items in operational tests and calibrates their parameters as response data are gradually obtained through the continuous test administration. This study extends existing formulas, procedures, and algorithms for dichotomous item response theory models to the generalized partial credit model, a popular model for items scored in more than two categories. A simulation study was conduc

SUBMITTER: Zheng Y 

PROVIDER: S-EPMC5978499 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature