Online Item Calibration for Q-Matrix in CD-CAT. (January 2015)

• Record Type: Journal Article
• Authors: Chen, Yunxiao; Liu, Jingchen; Ying, Zhiliang
• Other Names: Liu Jingchen guest-editor.
• Is Part Of: Applied psychological measurement. Volume 39:Number 1(2015)
• Page Start: 5
• Page End: 15
• Publication Date: 2015-01
• Subjects: online calibration -- computerized adaptive testing -- diagnostic classification models; Psychometrics -- Periodicals; Psychological tests -- Periodicals; Psychology, Applied -- Periodicals; 150.1519505
• DOI: 10.1177/0146621613513065
• Languages: English
• ISSNs: 0146-6216

Abstract

Item replenishment is important for maintaining a large-scale item bank. In this article, the authors consider calibrating new items based on pre-calibrated operational items under the deterministic inputs, noisy-and-gate model, the specification of which includes the so-calledQ -matrix, as well as the slipping and guessing parameters. Making use of the maximum likelihood and Bayesian estimators for the latent knowledge states, the authors propose two methods for the calibration. These methods are applicable to both traditional paper–pencil–based tests, for which the selection of operational items is prefixed, and computerized adaptive tests, for which the selection of operational items is sequential and random. Extensive simulations are done to assess and to compare the performance of these approaches. Extensions to other diagnostic classification models are also discussed.