Funder
National Natural Science Foundation of China
KLAS
The Startup Foundation for Introducing Talent of NUIST
The Research Program Funds of the Collaborative Innovation Center of Assessment toward Basic Education Quality
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,General Psychology
Reference36 articles.
1. Ali, U. S., & Chang, H.-H. (2014). An item-driven adaptive design for calibrating pretest items (Research Report No. RR-14-38). Princeton, NJ: ETS.
2. Ban, J. C., Hanson, B. A., 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.
3. Berger, M. P. F. (1992). Sequential sampling designs for the two-parameter item response theory model. Psychometrika, 57, 521–538.
4. Berger, M. P. F. (1994). D-Optimal sequential sampling designs for item response theory models. Journal of Educational Statistics, 19, 43–56.
5. Berger, M. P. F., King, C. Y. J., & Wong, W. K. (2000). Minimax D-optimal designs for item response theory models. Psychometrika, 65, 377–390.
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