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Journal Article
Pohl, S. (2013). Longitudinal Multistage Testing. Journal of Educational Measurement, 50, 447–468. doi:10.1111/jedm.12028
Pommerich, M., & Segall, D. O.. (2008). Local Dependence in an Operational CAT: Diagnosis and Implications. Journal of Educational Measurement, 45, 201–223. doi:10.1111/j.1745-3984.2008.00061.x
Binet, A., & Simon, T.. (1908). Le development de lintelligence chez les enfants. LAnee Psychologique, 14, 1-94.
van Buuren, N., & Eggen, T. J. H. M.. (2017). Latent-Class-Based Item Selection for Computerized Adaptive Progress Tests. Journal of Computerized Adaptive Testing, 5(2), 22-43. doi:10.7333/1704-0502022
Traub, R. E., & Lam, Y. R.. (1985). Latent structure and item sampling models for testing. Annual Review of Psychology, 36, 19-48.
Xu, H., Fang, G., Chen, Y., Liu, J., & Ying, Z.. (2018). Latent Class Analysis of Recurrent Events in Problem-Solving Items. Applied Psychological Measurement, 42, 478-498. doi:10.1177/0146621617748325
Koppel, N. B. (2000). Lagrangian relaxation for constrained curve-fitting with binary variables: Applications in educational testing. Dissertation Abstracts International Section A: Humanities and Social Sciences, 61, 1063.
PDF icon ra02-04.pdf (29.76 KB)
Doong, S. H. (2009). A Knowledge-Based Approach for Item Exposure Control in Computerized Adaptive Testing. Journal of Educational and Behavioral Statistics, 34, 530-558. doi:10.3102/1076998609336667
Thompson, N. A. (2011). JATT Special Issue on Adaptive Testing: Welcome and Overview. Journal of Applied Testing Technology, 12. presented at the 05/2011. Retrieved from http://www.testpublishers.org/journal-of-applied-testing-technology
Rulison, K. L., & Loken, E.. (2009). I've Fallen and I Can't Get Up: Can High-Ability Students Recover From Early Mistakes in CAT?. Applied Psychological Measurement, 33, 83-101. doi:10.1177/0146621608324023
Rulison, K. L., & Loken, E.. (2009). I've Fallen and I Can't Get Up: Can High-Ability Students Recover From Early Mistakes in CAT?. Applied Psychological Measurement, 33, 83-101. doi:10.1177/0146621608324023
PDF icon itemusage_QLR.pdf (641.22 KB)
Hornke, L. F. (1995). Item times in computerized testing: A new differential information. European Journal of Psychological Assessment, 11 (Suppl. 1), 108-109.
PDF icon ba09007.pdf (444.91 KB)
Tu, D., Han, Y., Cai, Y., & Gao, X.. (2018). Item Selection Methods in Multidimensional Computerized Adaptive Testing With Polytomously Scored Items. Applied Psychological Measurement, 42, 677-694. doi:10.1177/0146621618762748
Thompson, N. A. (2009). Item selection in computerized classification testing. Educational and Psychological Measurement, 69, 778-793.
Thompson, N. A. (2009). Item Selection in Computerized Classification Testing. Educational and Psychological Measurement, 69, 778-793. doi:10.1177/0013164408324460
Eggen, T. (1999). Item selection in adaptive testing with the sequential probability ratio test. Applied Psychological Measurement, 23, 249-261.
Lin, C. - J., & Chang, H. - H.. (2019). Item Selection Criteria With Practical Constraints in Cognitive Diagnostic Computerized Adaptive Testing. Educational and Psychological Measurement, 79, 335-357. doi:10.1177/0013164418790634
Lin, C. - J., & Chang, H. - H.. (2018). Item Selection Criteria With Practical Constraints in Cognitive Diagnostic Computerized Adaptive Testing. Educational and Psychological Measurement, 0013164418790634. doi:10.1177/0013164418790634
Lin, C. - J. (2011). Item Selection Criteria With Practical Constraints for Computerized Classification Testing. Educational and Psychological Measurement, 71, 20-36. doi:10.1177/0013164410387336
Finkelman, M. D., Weiss, D. J., & Kim-Kang, G.. (2010). Item Selection and Hypothesis Testing for the Adaptive Measurement of Change. Applied Psychological Measurement, 34(4), 238-254. doi:10.1177/0146621609344844
Ho, T. - H., & Dodd, B. G.. (2012). Item Selection and Ability Estimation Procedures for a Mixed-Format Adaptive Test. Applied Measurement in Education, 25, 305-326. doi:10.1080/08957347.2012.714686
Reise, S. P., & Waller, N. G.. (2009). Item response theory and clinical measurement. Annual Review of Clinical Psychology, 5, 27-48.
Segall, D. O. (2002). An item response model for characterizing test compromise. Journal of Educational and Behavioral Statistics, 27, 163-179.
He, W., & Reckase, M. D.. (2014). Item Pool Design for an Operational Variable-Length Computerized Adaptive Test. Educational and Psychological Measurement, 74, 473-494. doi:10.1177/0013164413509629
Han, K. T. (2013). Item Pocket Method to Allow Response Review and Change in Computerized Adaptive Testing. Applied Psychological Measurement, 37, 259-275. doi:10.1177/0146621612473638
Huebner, A. (2012). Item Overexposure in Computerized Classification Tests Using Sequential Item Selection. Practical Assessment, Research & Evaluation, 17(12).
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Finkelman, M. D., Kim, W., He, Y., & Lai, A. M.. (2013). Item Ordering in Stochastically Curtailed Health Questionnaires With an Observable Outcome. Journal of Computerized Adaptive Testing, 1(3), 38-66. doi:10.7333/1304-0103038
PDF icon v08n2p147.pdf (573.02 KB)
Wainer, H.,, & Kiely, G. L.. (1987). Item clusters and computerized adaptive testing: A case for testlets. Journal of Educational Measurement, 24(3), 185-201.
Wang, C., Chen, P., & Jiang, S.. (2020). Item Calibration Methods With Multiple Subscale Multistage Testing. Journal of Educational Measurement, 57, 3-28. doi:10.1111/jedm.12241

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