Optimal Item Calibration for Computerized Achievement Tests.

ABSTRACT: Item calibration is a technique to estimate characteristics of questions (called items) for achievement tests. In computerized tests, item calibration is an important tool for maintaining, updating and developing new items for an item bank. To efficiently sample examinees with specific ability levels for this calibration, we use optimal design theory assuming that the probability to answer correctly follows an item response model. Locally optimal unrestricted designs have usually a few design points for ability. In practice, it is hard to sample examinees from a population with these specific ability levels due to unavailability or limited availability of examinees. To counter this problem, we use the concept of optimal restricted designs and show that this concept naturally fits to item c

SUBMITTER: Ul Hassan M 

PROVIDER: S-EPMC6820328 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature