Biblio

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Report
Draney, K., & Peres, D.. (1998). Multidimensional modeling of complex science assessment data (No. BEAR Report Series). University of California, Berkeley.
Brown, N. J. S. (2005). The multidimensional measure of conceptual complexity. University of California, Berkeley.
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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.
Journal Article
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Brown, N. J. S., & Wilson, M.. (2011). A model of cognition: The missing cornerstone of assessment. Educational Psychology Review, 23, 221–234.
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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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Wilson, M. (2009). Measuring progressions: Assessment structures underlying a learning progression. Journal of Research in Science Teaching, 46, 716–730.
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Conference Presentation
Torres Irribarra, D., & Diakow, R.. (2014, 04/2014). Modeling for directly mapping construct levels. Presented at the International Objective Measurement Workshop 20014, Philadelphia, Pennsylvania.
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.
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Conference Paper
Wilson, M. (1994, April). Multimode assessment involving raters. Presented at the annual meeting of the American Educational Research Association. Atlanta, GA.
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.
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.
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.
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.
Wilson, M., & Draney, K.. (1996, April). Mapping student progress with embedded assessments. Presented at the annual meeting of the American Educational Research Association, New York, NY.
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.
Book Chapter
Baek, S. - G., & Choi, I. - H.. (2009). The mastery learner judgment consistency rate of Rasch model-based standard setting method: Focused on the comparison with raw-score and Angoff methods. In Criterion-referenced testing: Practice analysis to score reporting using Rasch measurement. Chicago: JAM Press.

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