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Allen, D. (2006, April). Using item response modeling methods to develop theory related to human performance. Presented at the International Objective Measurement Workshop, Berkeley, CA.
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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
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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Briggs, D. C., & Wilson, M.. (2007). Generalizability in item response modeling. Journal of Educational Measurement, 44, 131–155.
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Kennedy, C., & Draney, K.. (2007). Interpreting and using multidimensional performance data to improve learning. In X. Liu (Ed.), Applications of Rasch Measurement to Science Education. Chicago: JAM Press.
Claesgens, J. (2007). Measuring the development of conceptual understanding in chemistry (phd). University of California, Berkeley.
Anderson, C. W., Alonzo, A. C., Smith, C., & Wilson, M.. (2007). NAEP Pilot Learning Progression Framework. Report to the National Assessment Governing Board.
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Kennedy, C., & Wilson, M.. (2007). Using progress variables to map intellectual development. Berkeley, CA: Berkeley Evaluation & Assessment Research Center.
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Wilson, M. (2008). Cognitive diagnosis using item response models. Zeitschrift für Psychologie/Journal of Psychology, 216, 74–88.
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Kennedy, C., Wilson, M., Draney, K., Tutunciyan, S., & Vorp, R.. (2008). ConstructMap Version 4 (computer program). University of, Berkeley, CA: BEAR Center.
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Wilson, M., de Boeck, P., & Carstensen, C.. (2008). Explanatory item response models: A brief introduction. Assessment of competencies in educational contexts, 91–120.
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Drartey, K., Wilson, M., Glück, J., & Spiel, C.. (2008). Mixture models in a developmental context. Advances in Latent Variable Mixture Models, 199.
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