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adaptive classification test
van Groen, M., Eggen, T., & Veldkamp, B.. (2011). 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.
PDF icon IACAT 2011 van Groen Eggen Veldkamp Item Selection.pdf (593.82 KB)
Cognitive Processes
Embretson, S. E. (2002). Generating abstract reasoning items with cognitive theory. In P. Kyllomen, Item generation for test development (pp. 219-250). Mahwah, N.J. USA: Lawrence Erlbaum Associates, Inc.
computer adaptive testing systems
Economides, A. A., & Roupas, C.. (2007). Evaluation of computer adaptive testing systems. International Journal of Web-Based Learning and Teaching Technologies, 2, 70-87.
computerized adaptive progress test
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
Computerized classification testing
examination organizations
Economides, A. A., & Roupas, C.. (2007). Evaluation of computer adaptive testing systems. International Journal of Web-Based Learning and Teaching Technologies, 2, 70-87.
feedback selection
van Buuren, N., Straat, H., Eggen, T., & Fox, J. - P.. (2017). Adaptive Item and Feedback Selection in Personalized Learning with a Network Approach. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University.
High stakes CAT
van Boxel, M., & Eggen, T.. (2017). The Implementation of Nationwide High Stakes Computerized (adaptive) Testing in the Netherlands. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University. Retrieved from https://drive.google.com/open?id=1Kn1PvgioUYaOJ5pykq-_XWnwDU15rRsf
Integer programming
Edmonds, J., & Armstrong, R. D.. (2009). A mixed integer programming model for multiple stage adaptive testing. European Journal of Operational Research, 193, 342-350.
item selection method
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
Kullback-Leibler information
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
Latent class analysis
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
Linear programming
Edmonds, J., & Armstrong, R. D.. (2009). A mixed integer programming model for multiple stage adaptive testing. European Journal of Operational Research, 193, 342-350.
log-odds scoring
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
Measurement
Embretson, S. E. (2002). Generating abstract reasoning items with cognitive theory. In P. Kyllomen, Item generation for test development (pp. 219-250). Mahwah, N.J. USA: Lawrence Erlbaum Associates, Inc.
Minnesota Multiphasic Personality Inventory
mst
Verschoor, A., Radtke, I., & Eggen, T.. (2011). A Test Assembly Model for MST. In Annual Conference of the International Association for Computerized Adaptive Testing. presented at the 10/2011.
PDF icon IACAT 2011 Verschoor Radtke Eggen Test Assmebly Model.pdf (339.24 KB)

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