Implementation and Measurement Efficiency of Multidimensional Computerized Adaptive Testing

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Bibliographic Details
Title: Implementation and Measurement Efficiency of Multidimensional Computerized Adaptive Testing
Language: English
Authors: Wang, Wen-Chung, Chen, Po-Hsi
Source: Applied Psychological Measurement. 2004 28(5):295-316.
Availability: SAGE Publications, 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243 (Toll Free); Fax: 800-583-2665 (Toll Free).
Peer Reviewed: Y
Page Count: 22
Publication Date: 2004
Document Type: Journal Articles
Reports - Evaluative
Descriptors: Item Analysis, Adaptive Testing, Computer Assisted Testing, Computer Simulation, Comparative Analysis, Bayesian Statistics, Efficiency, Testing
ISSN: 0146-6216
Abstract: Multidimensional adaptive testing (MAT) procedures are proposed for the measurement of several latent traits by a single examination. Bayesian latent trait estimation and adaptive item selection are derived. Simulations were conducted to compare the measurement efficiency of MAT with those of unidimensional adaptive testing and random administration. The results showed that the higher the correlation between latent traits, the more latent traits there were, and the more scoring levels there were in the items, the more efficient MAT was than the other two procedures. For tests containing multidimensional items, only MAT is applicable, whereas unidimensional adaptive testing is not. Issues in implementing MAT are discussed.
Abstractor: Author
Entry Date: 2006
Access URL: https://apm.sagepub.com/cgi/content/abstract/28/5/295
Accession Number: EJ727360
Database: ERIC
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