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Mussio, J. J. (1972). A modification to Lord’s model for tailored tests. Unpublished doctoral dissertation, University of Toronto.
Murphy, D. L., Dodd, B. G., & Vaughn, B. K.. (2010). A Comparison of Item Selection Techniques for Testlets. Applied Psychological Measurement, 34, 424-437. doi:10.1177/0146621609349804
Mulder, J., & van der Linden, W. J.. (2010). Multidimensional Adaptive Testing with Kullback–Leibler Information Item Selection. In Elements of Adaptive Testing (pp. 77-102). doi:10.1007/978-0-387-85461-8
Mueller, K., Liebig, C., & Hattrup, K.. (2007). Computerizing Organizational Attitude Surveys. Educational and Psychological Measurement, 67, 658-678. doi:10.1177/0013164406292084
Moyer, E. L., Galindo, J. L., & Dodd, B. G.. (2012). Balancing Flexible Constraints and Measurement Precision in Computerized Adaptive Testing. Educational and Psychological Measurement, 72, 629-648. doi:10.1177/0013164411431838
Moshinsky, A., & Kazin, C.. (2005). Constructing a Computerized Adaptive Test for University Applicants With Disabilities. Applied Measurement in Education, 18, 381-405. doi:10.1207/s15324818ame1804_3
Morrison, C. A., & Nungester, R. J.. (1995). Computer adaptive testing in a medical licensure setting: A comparison of outcomes under the one- and two- parameter logistic models. In Paper presented at the annual meeting of the American Educational Research Association. San Francisco.
Morrison, C., Subhiyah, R,, & Nungester, R.. (1995). Item exposure rates for unconstrained and content-balanced computerized adaptive tests. In Paper presented at the annual meeting of the American Educational Research Association. San Francisco CA.
Morin, M. (2017). Adapting Linear Models for Optimal Test Design to More Complex Test Specifications. In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University.
Morgan, D. L., Way, W. D., & Augemberg, K. E.. (2006). A comparison of online calibration methods for a CAT. In Presented at the National Council on Measurement on Education. San Francisco, CA.
Moreno, K. E., & Segall, O. D.. (1997). Reliability and construct validity of CAT-ASVAB. In . W. A. Sands, B. K. Waters, and J. R. McBride (Eds.). Computerized adaptive testing: From inquiry to operation (pp. 169-179). Washington DC: American Psychological Association.
Moreno, K. E.,, & Segall, D. O.. (1992). CAT-ASVAB precision. Proceedings of the 34th Annual Conference of the Military Testing Association, 1, 22-26.
Moreno, K. E. (1997). CAT-ASVAB operational test and evaluation. In . W. A. Sands, B. K. Waters, and . R. McBride (Eds.), Computerized adaptive testing: From inquiry to operation (pp. 199-205). Washington DC: American Psychological Association.
PDF icon v08n2p155.pdf (594.04 KB)
Mislevy, J. L., Rupp, A. A., & Harring, J. R.. (2012). Detecting Local Item Dependence in Polytomous Adaptive Data. Journal of Educational Measurement, 49, 127–147. doi:10.1111/j.1745-3984.2012.00165.x
Mills, C. N., & Steffen, M.. (2000). The GRE computer adaptive test: Operational issues. In . W. J. van der Linden and C. A. W. Glas (Eds.), Computerized adaptive testing: Theory and practice (pp. 75-99). Dordrecht, Netherlands: Kluwer.
Mills, C. N. (1999). Development and introduction of a computer adaptive Graduate Record Examination General Test. In . F. Drasgow and J .B. Olson-Buchanan (Eds.). Innovations in computerized assessment (pp. 117-135). Mahwah NJ: Erlbaum.
Mills, C. N.,, & Stocking, M. L.. (1996). Practical issues in large-scale computerized adaptive testing. Applied Measurement in Education, 9, 287-304.
Millman, J., & Arter, J. A.. (1984). Issues in item banking. Journal of Educational Measurement, 1, 315-330.
Millman, J. (1984). Using microcomputers to administer tests: An alternate point of view. Educational Measurement: Issues and Practice, 3(2), 20-21.
Miller, T., & Davey, T.. (1999). Principles for administering adaptive tests. In Paper presented at the annual meeting of the National Council on Measurement in Education. Montreal Canada.
Miller, T. R. (1992). Practical considerations for conducting studies of differential item functioning (DIF) in a CAT environment. In Paper presented at the annual meeting of the American Educational Research Association. San Francisco CA.
Millan, E., Trella, M., Perez-de-la-Cruz, J. - L., & Conejo, R.. (2000). Using Bayesian Networks in Computerized Adaptive Tests. In . M. Ortega and J. Bravo (Eds.),Computers and Education in the 21st Century. Kluwer, pp. 217228.
Meng, H., & Han, C.. (2017). Comparison of Pretest Item Calibration Methods in a Computerized Adaptive Test (CAT). In IACAT 2017 Conference. presented at the 08/2017, Niigata, Japan: Niigata Seiryo University.
Meng, H., Steinkamp, S., Jones, P., & Matthews-Lopez, J.. (2011). Practitioner’s Approach to Identify Item Drift in CAT. In Annual Conference of the International Association for Computerized Adaptive Testing. presented at the 10/2011.
PDF icon IACAT 2011Meng Item Drift.pdf (337.44 KB)
Mendez, F. A. (2001). Application of data mining to response data in a computerized adaptive test. Paper presented at the Annual Meeting of the National Council on Measurement in Education, Seattle WA.
Melican, G. J., Breithaupt, K., & Zhang, Y.. (2010). Designing and Implementing a Multistage Adaptive Test: The Uniform CPA Exam. In Elements of Adaptive Testing (pp. 167-190). doi:10.1007/978-0-387-85461-8
Meijer, R. R., & van Krimpen-Stoop, E. M. L. A.. (2005). The use of person-fit statistics in computerized adaptive testing. LSAC Research Report Series. presented at the September, 2005, Newton, PA. USA: Law School Administration Council.
Meijer, R. R., & van Krimpen-Stoop, E. M. L. A.. (1998). Simulating the null distribution of person-fit statistics for conventional and adaptive tests (Research Report 98-02). Enschede, The Netherlands: University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis.
Meijer, R. R., & van Krimpen-Stoop, E. M. L. A.. (2010). Detecting Person Misfit in Adaptive Testing. In Elements of Adaptive Testing (pp. 315-329). doi:10.1007/978-0-387-85461-8
Meijer, R. R., & Nering, M. L.. (1999). Computerized Adaptive Testing: Overview and Introduction. Applied Psychological Measurement, 23, 187-94.
Meijer, R. R., & Nering, M. L.. (1999). Computerized adaptive testing: Overview and introduction. Applied Psychological Measurement, 23, 187-194.
Meijer, R. R. (2001). Methods to test invariant ability across subgroups of items in CAT. In Paper presented at the Annual Meeting of the National Council on Measurement in Education. Seattle WA.
Meijer, R. R. (2002). Outlier detection in high-stakes certification testing. Journal of Educational Measurement, 39, 219-233.
Mead, A. D. (2006). An Introduction to Multistage Testing. Applied Measurement in Education, 19, 185-187. doi:10.1207/s15324818ame1903_1
McLeod L. D.,, & Lewis, C.. (1999). Detecting item memorization in the CAT environment. Applied Psychological Measurement, 23, 147-160.
McLeod, L. D., & Schinpke, D. L.. (1999). Detecting items that have been memorized in the CAT environment. In Paper presented at the annual meeting of the National Council on Measurement in Education. Montreal, Canada.
McLeod, L. D. (1999). Alternative methods for the detection of item preknowledge in computerized adaptive testing. Dissertation Abstracts International: Section B: the Sciences & Engineering, 59, 3765.
McLeod, L. D., & Lewis, C.. (1998). A new approach for the detection of item preknowledge in computerized adaptive testing. In Paper presented at the annual meeting of the Psychometric Society. Urbana, IL.
McLeod, L. D., & Lewis, C.. (1998). A Bayesian approach to detection of item preknowledge in a CAT. In Paper presented at the annual meeting of the National Council on Measurement in Education. San Diego CA.

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