Biblio

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Journal Article
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Wilson, M. (2009). Assessment from the ground up. Phi Delta Kappan, 91, 68–71.
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Xie, Y. (2002). An Application of a Special Two-Class Item Response Model Using Markov Chain Monte Carlo Method. Position Paper; Policy, Organization, Measurement, & Evaluation; Graduate School of Education; University of California, Berkeley.
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Kennedy, C., Burmester, K., Harrell, S. Veeragouda, Timms, M., Bernbaum, D., Scalise, K., & Wilson, M.. (2007). Adaptive Technology for e-Learning: Principles and Case Studies of an Emerging Field. Journal of the American Society for Information Science and Technology, 58(14). doi:10.1002
Conference Paper
Scalise, K., Bernbaum, D. J., Timms, M., Veeragoudar Harrell, S., Burmester, K. O. 'Rourke, Kennedy, C., & Wilson, M.. (2006, April). Assessment for e-Learning: Case studies of an emerging field. Presented at the International Objective Measurement Workshop, Berkeley, CA.
Wilson, M. (1997, Jannuary). Assessment and evaluation together in the service of instruction and learning. Presented at the National Science Foundation Status of Middle School Science Conference. Washington, DC.
Hoskens, M., Wilson, M., & Stavisky, H.. (1997, June). Accounting for rater effects in large scale testing using IRT. Presented at the European meeting of the Psychometric Society.
Book Chapter
Draney, K., & Wilson, M.. (2007). Application of the Saltus model to stagelike data: Some applications and current developments. In Multivariate and mixture distribution Rasch models (pp. 119–130). Springer.
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