ERIC Number: EJ734820
Record Type: Journal
Publication Date: 2006
Pages: 16
Abstractor: Author
ISBN: N/A
ISSN: ISSN-0146-6216
EISSN: N/A
A Feedback Control Strategy for Enhancing Item Selection Efficiency in Computerized Adaptive Testing
Weissman, Alexander
Applied Psychological Measurement, v30 n2 p84-99 2006
A computerized adaptive test (CAT) may be modeled as a closed-loop system, where item selection is influenced by trait level ([theta]) estimation and vice versa. When discrepancies exist between an examinee's estimated and true [theta] levels, nonoptimal item selection is a likely result. Nevertheless, examinee response behavior consistent with optimal item selection can be predicted using item response theory (IRT), without knowledge of an examinee's true [theta] level, yielding a specific reference point for applying an internal correcting or feedback control mechanism. Incorporating such a mechanism in a CAT is shown to be an effective strategy for increasing item selection efficiency. Results from simulation studies using maximum likelihood (ML) and modal a posteriori (MAP) trait-level estimation and Fisher information (FI) and Fisher interval information (FII) item selection are provided. (Contains 2 tables and 7 figures.)
Descriptors: Item Response Theory, Feedback, Adaptive Testing, Computer Assisted Testing, Efficiency, Simulation, Structural Equation Models, Change Strategies, Program Implementation, Computation, Item Analysis, Communication Research
SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; Web site: http://sagepub.com.
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: California Achievement Tests
Grant or Contract Numbers: N/A