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Journal Article
van der Linden, W. J. (1998). Optimal test assembly of psychological and educational tests. Applied Psychological Measurement, 22, 195-211.
Eggen, T., & Verschoor, A. J.. (2006). Optimal Testing With Easy or Difficult Items in Computerized Adaptive Testing. Applied Psychological Measurement, 30, 379-393. doi:10.1177/0146621606288890
Ariel, A., Veldkamp, B. P., & Breithaupt, K.. (2006). Optimal Testlet Pool Assembly for Multistage Testing Designs. Applied Psychological Measurement, 30, 204-215. doi:10.1177/0146621605284350
Meijer, R. R. (2002). Outlier detection in high-stakes certification testing. Journal of Educational Measurement, 39, 219-233.
Bradlow, E. T., & Weiss, R. E.. (2001). Outlier measures and norming methods for computerized adaptive tests. Journal of Educational and Behavioral Statistics, 26, 85-104.
Kim, J., Chung, H., Dodd, B. G., & Park, R.. (2012). Panel Design Variations in the Multistage Test Using the Mixed-Format Tests. Educational and Psychological Measurement, 72, 574-588. doi:10.1177/0013164411428977
Taherbhai, H., & Seo, D.. (2013). The Philosophical Aspects of IRT Equating: Modeling Drift to Evaluate Cohort Growth in Large-Scale Assessments. Educational Measurement: Issues and Practice, 32, 2–14. doi:10.1111/emip.12000
Gnambs, T., & Batinic, B.. (2011). Polytomous Adaptive Classification Testing: Effects of Item Pool Size, Test Termination Criterion, and Number of Cutscores. Educational and Psychological Measurement, 71, 1006-1022. doi:10.1177/0013164410393956
Wightman, L. F. (1998). Practical issues in computerized test assembly. Applied Psychological Measurement, 22, 292-302.
Mills, C. N.,, & Stocking, M. L.. (1996). Practical issues in large-scale computerized adaptive testing. Applied Measurement in Education, 9, 287-304.
Thompson, N. A. (2007). A Practitioner’s Guide for Variable-length Computerized Classification Testing. Practical Assessment Research and Evaluation, 12(1), 1-13.
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Chen, S. - Y., & Doong, S. H.. (2008). Predicting item exposure parameters in computerized adaptive testing. British Journal of Mathematical and Statistical Psychology, 61, 75-91. presented at the May.
Brooks, S., & Hartz, M. A.. (1978). Predictive ability of a branching test. Educational and Psychological Measurement, 38, 415-419.
van der Linden, W. J. (2009). Predictive Control of Speededness in Adaptive Testing. Applied Psychological Measurement, 33, 25-41. doi:10.1177/0146621607314042
Doebler, A. (2012). The Problem of Bias in Person Parameter Estimation in Adaptive Testing. Applied Psychological Measurement, 36, 255-270. doi:10.1177/0146621612443304
Chen, S. - Y. (2010). A Procedure for Controlling General Test Overlap in Computerized Adaptive Testing. Applied Psychological Measurement, 34, 393-409. doi:10.1177/0146621610367788
Reckase, M. D. (1977). Procedures for computerized testing. Behavior Research Methods and Instrumentation, 70, 351-356.
Kingsbury, G. G., & Zara, A.. (1989). Procedures for selecting items for computerized adaptive tests. Applied Measurement in Education, 2, 359-375.
Luo, X., Kim, D., & Dickison, P.. (2017). Projection-Based Stopping Rules for Computerized Adaptive Testing in Licensure Testing. Applied Psychological MeasurementApplied Psychological Measurement, 42(4), 275 - 290. presented at the 2018/06/01. Retrieved from https://doi.org/10.1177/0146621617726790
Wang, T., & Vispoel, W. P.. (1998). Properties of ability estimation methods in computerized adaptive testing. Journal of Educational Measurement, 35, 109-135.
Way, W. D. (1998). Protecting the integrity of computerized testing item pools. Educational Measurement: Issues and Practice, 17(4), 17-27.
Tonidandel, S.,, & Quiñones, M. A.. (2000). Psychological reactions to adaptive testing. International Journal of Selection and Assessment, 8, 7-15.
Revuelta, J., Ximénez, C. M., & Olea, J.. (2003). Psychometric and Psychological Effects of Item Selection and Review on Computerized Testing. Educational and Psychological Measurement, 63, 791-808. doi:10.1177/0013164403251282
Jodoin, M. G. (2003). Psychometric properties of several computer-based test designs with ideal and constrained item pools. Dissertation Abstracts International: Section B: The Sciences & Engineering, 64, 2978.
Wang, W. - C., Liu, C. - W., & Wu, S. - L.. (2013). The Random-Threshold Generalized Unfolding Model and Its Application of Computerized Adaptive Testing. Applied Psychological Measurement, 37, 179-200. doi:10.1177/0146621612469720
Glas, C. A. W. (1988). The Rasch model and multi-stage testing. Journal of Educational and Behavioral Statistics, 13, 45-52.

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