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. (2009).
On item response theory and computerized adaptive testing: The coming technical revolution in testing. Journal of College Admissions, 28, 9-16.
. (1983). Item response theory and health outcomes measurement in the 21st century. Medical Care, 38, II28-II42.
. (2000). Item response theory applied to combinations of multiple-choice and constructed-response items--approximation methods for scale scores. In Test scoring (pp. 289-315). Mahwah, N.J. USA: Lawrence Erlbaum Associates.
. (2001). Item response theory in computer adaptive testing: implications for outcomes measurement in rehabilitation. Rehabil Psychol, 50, 71-78.
. (2005). Item response theory, item calibration, and proficiency estimation. In . H. Wainer (Ed.), Computerized adaptive testing: A primer (pp. 65-102). Hillsdale NJ: Erlbaum.
. (1990). An item response theory-based pain item bank can enhance measurement precision. Journal of Pain and Symptom Management, 30, 278-88.
. (2005). Item Response Time on Task Effect in CAT. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University.
. (2017). Item review and adaptive testing. In Paper presented at the annual meeting of the National Council on Measurement in Education. New York.
. (1996). Item review and answer changing in computerized adaptive tests. In Paper presented at the Third European Conference on Psychological Assessment. Trier, Germany.
. (1995). . (2000).
Item selection and ability estimation in adaptive testing. In Computerized adaptive testing: Theory and practice (pp. 1–25). Dordrecht, The Netherlands: Kluwer Academic Publishers.
. (2000). Item Selection and Ability Estimation in Adaptive Testing. In Elements of Adaptive Testing (pp. 3-30). New York: Springer. doi:10.1007/978-0-387-85461-8
. (2010). 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
. (2012). Item Selection and Exposure Control Methods for Computerized Adaptive Testing with Multidimensional Ranking Items. Journal of Educational Measurement, 57, 343-369. doi:10.1111/jedm.12252
. (2020). Item selection and hypothesis testing for the adaptive measurement of change. In . D. J. Weiss (Ed.), Proceedings of the 2009 GMAC Conference on Computerized Adaptive Testing.
. (2009). cat09finkelman.pdf (227.83 KB)Item Selection and Hypothesis Testing for the Adaptive Measurement of Change. Applied Psychological Measurement, 34(4), 238-254. doi:10.1177/0146621609344844
. (2010). Item Selection Criteria With Practical Constraints for Computerized Classification Testing. Educational and Psychological Measurement, 71, 20-36. doi:10.1177/0013164410387336
. (2011). Item Selection Criteria With Practical Constraints in Cognitive Diagnostic Computerized Adaptive Testing. Educational and Psychological Measurement, 0013164418790634. doi:10.1177/0013164418790634
. (2018). Item Selection Criteria With Practical Constraints in Cognitive Diagnostic Computerized Adaptive Testing. Educational and Psychological Measurement, 79, 335-357. doi:10.1177/0013164418790634
. (2019). Item selection in adaptive testing with the sequential probability ratio test. Applied Psychological Measurement, 23, 249-261.
. (1999). Item selection in adaptive testing with the sequential probability ratio test (Measurement and Research Department Report, 98-1). Arnhem, The Netherlands: Cito.
. (1998). Item selection in computerized adaptive testing: Improving the a-stratified design with the Sympson-Hetter algorithm. Applied Psychological Measurement, 26, 376-392.
. (2002). Item selection in computerized adaptive testing: Improving the a-stratified design with the Sympson-Hetter algorithm. Applied Psychological Measurement, 26, 376-392.
. (2002). Item selection in computerized adaptive testing: improving the a-stratified design with the Sympson-Hetter algorithm. In Paper presented at the Annual Meeting of the American Educational Research Association. Montreal, CA.
. (1999). Item selection in computerized adaptive testing: Should more discriminating items be used first?. Journal of Educational Measurement, 38, 249-266.
. (2001). Item selection in computerized adaptive testing: Should more discriminating items be used first?. Journal of Educational Measurement, 38, 249-266.
. (1998). Item selection in computerized classification testing. Educational and Psychological Measurement, 69, 778-793.
. (2009). Item selection in computerized classification testing. In Paper presented at the Conference on High Stakes Testing. University of Nebraska.
. (2007). th07-05.pdf (86.3 KB)Item Selection in Computerized Classification Testing. Educational and Psychological Measurement, 69, 778-793. doi:10.1177/0013164408324460
. (2009). Item selection in polytomous CAT. In . H. Yanai, A. Okada, K. Shigemasu, Y Kano, and J. J. Meulman (eds.), New developments in psychometrics (pp. 207-214). Tokyo, Japan: Springer-Verlag.
. (2003). Item selection in polytomous CAT. In , New developments in psychometrics (pp. 207–214). Tokyo, Japan: Psychometric Society, Springer.
. (2003). ve03027.pdf (78.48 KB)Item Selection Methods based on Multiple Objective Approaches for Classification of Respondents into Multiple Levels. In Annual Conference of the International Association for Computerized Adaptive Testing. presented at the 10/2011.
. (2011). IACAT 2011 van Groen Eggen Veldkamp Item Selection.pdf (593.82 KB)Item Selection Methods Based on Multiple Objective Approaches for Classifying Respondents Into Multiple Levels. Applied Psychological Measurement, 38, 187-200. doi:10.1177/0146621613509723
. (2014). Item Selection Methods in Multidimensional Computerized Adaptive Testing With Polytomously Scored Items. Applied Psychological Measurement, 42, 677-694. doi:10.1177/0146621618762748
. (2018). . (2009). ba09007.pdf (444.91 KB)
Item Selection Strategies for Developing CAT in Indonesia. In IACAT 2017 Conference. presented at the 08/2017, Niigata Japan: Niiagata Seiryo University. Retrieved from https://www.youtube.com/watch?v=2KuFrRATq9Q
. (2017). [Item Selection Strategies of Computerized Adaptive Testing based on Graded Response Model.]. Acta Psychologica Sinica, 38, 461-467.
. (2006). Item selection using an average growth approximation of target information functions. Applied Psychological Measurement, 16, 41-51.
. (1992). Item selection with biased-coin up-and-down designs. In . D. J. Weiss (Ed.), Proceedings of the 2009 GMAC Conference on Computerized Adaptive Testing.
. (2009). cat09sheng.pdf (747.16 KB)Item times in computerized testing: A new differential information. European Journal of Psychological Assessment, 11 (Suppl. 1), 108-109.
. (1995). Item usage in a multidimensional computerized adaptive test (MCAT) measuring health-related quality of life. Quality of Life Research, 26, 2909–2918. doi:10.1007/s11136-017-1624-3
. (2017). itemusage_QLR.pdf (641.22 KB)Item-presentation controls for computerized adaptive testing: Content-balancing versus min-CAT (Research Report 89-1). Baltimore MD: Johns Hopkins University, Department of Psychology, Psychometric Laboratory.
. (1989). I've fallen and I can't get up: can high-ability students recover from early mistakes in CAT?. Applied Psychological Measurement, 33(2), 83-101.
. (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
. (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
. (2009).