A New Online Calibration Method for Multidimensional Computerized Adaptive Testing

Author:

Chen PingORCID,Wang Chun

Funder

National Natural Science Foundation of China

Specialized Research Fund for the Doctoral Program of Higher Education

The Fundamental Research Funds for the Central Universities

National Academy of Education/Spencer Fellowship

KLAS

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,General Psychology

Reference45 articles.

1. Adams, R., Wilson, M., & Wang, W.-C. (1997). The multidimensional random coefficients multinomial logit model. Applied Psychological Measurement, 21, 1–23.

2. Baker, F. B., & Kim, S. H. (2004). Item response theory: Parameter estimation techniques $$(2^{{\rm nd}}$$ ( 2 nd Edition). New York: Dekker.

3. Ban, J.-C., Hanson, B. H., Wang, T. Y., Yi, Q., & Harris, D. J. (2001). A comparative study of on—line pretest item-calibration/scaling methods in computerized adaptive testing. Journal of Educational Measurement., 38, 191–212.

4. Ban, J.-C, Hanson, B. H., Yi, Q., & Harris, D. J. (2002). Data sparseness and online pretest item calibration/scaling methods in CAT (ACT Research Report 02-01). Iowa City, IA, ACT, Inc. Available at http://www.eric.ed.gov/ERICDocs/data/ericdocs2sql/content_storage_01/0000019b/80/19/da/e9.pdf

5. Birnbaum, A. (1968). Some latent trait models and their use in inferring an examinee’s ability. In F. M. Lord & M. R., Novick (Eds.), Statistical theories of mental test scores (pp. 379–479). Reading, MA: Addison-Welsey.

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