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Adams, R. J., & Wilson, M.. (1996, April). Multilevel modeling of complex item responses in multiple dimensions: Why bother?. Presented at the annual meeting of the American Educational Research Association. New York, NY.
Draney, K., & Wilson, M.. (1997, July). Mapping student progress with embedded assessments: The challenge of making evaluation meaningful. Presented at the National Evaluation Institute Workshop, Indianapolis, IN.
Draney, K., & Peres, D.. (1998). Multidimensional modeling of complex science assessment data (No. BEAR Report Series). University of California, Berkeley.
Drartey, K., Wilson, M., Glück, J., & Spiel, C.. (2008). Mixture models in a developmental context. Advances in Latent Variable Mixture Models, 199.
 (222.14 KB)
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Kennedy, C. (2000). Measuring Student Variables Useful in the Study of Performance in an Online Learning Environment (No. BEAR Research Note). University of California, Berkeley.
Kennedy, C. (2005, April). Models and tools for drawing inferences from student work. Presented at the Annual Meeting of the American Educational Research Association, Montreal, Canada.
Sammet, K., Moore, S., & Wilson, M.. (2013). Measuring Positive Youth Development in Context with the Desired Results Developmental Profile - School Age. Presented at the Annual meeting of the American Educational Research Association, San Francisco.
 (1.73 MB)
Torres Irribarra, D., & Diakow, R.. (2014, 04/2014). Modeling for directly mapping construct levels. Presented at the International Objective Measurement Workshop 20014, Philadelphia, Pennsylvania.
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Wilson, M., & Hoskens, M.. (1996, April). Multidimensional item responses: Multimethod-multitrait perspectives. Presented at the annual meeting of the American Educational Research Association. New York, NY.
Wilson, M. (2009). Measuring progressions: Assessment structures underlying a learning progression. Journal of Research in Science Teaching, 46, 716–730.
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Wilson, M., & Draney, K.. (1997, July). Mapping student progress in science with embedded assessments. Presented at the annual conference of the American Association for the Advancement of Science, Seattle WA.
 (4.08 MB)