Kennedy, C., Wilson, M., Draney, K., Tutunciyan, S., & Vorp, R.. (2008). ConstructMap Version 4 (computer program). University of, Berkeley, CA: BEAR Center.

Dawson, T. L., Goodheart, E. A., Draney, K., Wilson, M., & Commons, M. L.. (2009). Concrete, abstract, formal, and systematic operations as observed in a" Piagetian" balance-beam task series. Journal of applied measurement, 11, 11–23.

Dawson, T. L., Goodheart, E. A., Draney, K., Wilson, M., & Commons, M. L.. (2010). Concrete, abstract, formal, and systematic operations as observed in a" Piagetian" balance-beam task series. Journal of applied measurement, 11, 11.

Maul, A., Wilson, M., & Torres Irribarra, D.. (2013). On the conceptual foundations of psychological measurement. Journal of Physics: Conference Series, 459, 012008. Retrieved from http://stacks.iop.org/1742-6596/459/i=1/a=012008

Wilson, M., & Wang, W. - C.. (1995). Complex composites: Issues that arise in combining different modes of assessment. Applied Psychological Measurement, 19, 51-72.

Roczen, N., Kaiser, F. G., Bogner, F. X., & Wilson, M.. (2013). A competence model for environmental education. Environment and Behavior, 0013916513492416.

Kim, S. C., & Wilson, M.. (2008). A comparative analysis of the ratings in performance assessment using generalizability theory and the many-facet Rasch model. Journal of applied measurement, 10, 408–423.

Black, P., Wilson, M., & Yao, S. - Y.. (2011). Comments and Thoughts. Measurement: Interdisciplinary Research & Perspective, 9, 169–172.

Wilson, M. (2008). Cognitive diagnosis using item response models. Zeitschrift für Psychologie/Journal of Psychology, 216, 74–88.

Wilson, M. (2003). On Choosing a Model for Measuring. Methods of Psychological Research.

Lehrer, R., Schauble, L., Wilson, M., Lucas, D. D., Karelitz, T. M., Kim, M., & Burmester, K. O. 'Rourke. (2007). Collaboration at the Boundaries: Brokering Learning and Assessment Improves the Quality of Education. Presented at the

Annual meeting of the American Education Research Association, Chicago, IL.

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Chiu, T., Morell, L., & Wilson, M.. (2013). Coding Student Responses: An Iterative and Construct-Driven Approach that Uses Multiple Sources of Data. Presented at the Annual meeting of the American Educational Research Association, San Francisco.

Wilson, M. (2013). Challenges and Opportunities of Learning Progressions for the Psychometric Community. Presented at the annual meeting of the American Educational Research Association, San Francisco.

Wilson, M., Hoskens, M., & Wang, W. - C.. (1996, April). Complex item responses: Rater effects and item dependency. Presented at the annual meeting of the American Educational Research Association. New York, NY.

Yamada, H., Draney, K., Karelitz, T. M., Moore, S., & Wilson, M.. (2006, April). Comparison of dimension-aligning techniques in a multidimensional IRT context. Presented at the 13th International Objective Measurement Workshops, Berkeley, CA.

Wang, W. - C., & Wilson, M.. (1993, April). Comparing multiple-choice and performance-based items. Presented at the Seventh International Objective Measurement Workshop, Emory University, Atlanta, GA.

Wang, W. - C., & Wilson, M.. (1993, March). Comparing multiple-choice and performance-based items. Presented at the California Learning Assessment System Technical Advisory Committee meeting. San Francisco, CA.

Burmester, K., Karelitz, T., Kim, M. - J., Lehrer, R., Lucas, D., & Wilson, M.. (2007). Collaboration at the Boundaries: Brokering Learning and Assessment Improves the Quality of Education. American Educational Research Association. Symposium, Chicago, IL.

Scalise, K., Claesgens, J., Wilson, M., & Stacy, A.. (2006). ChemQuery: An assessment system for mapping student progress in learning chemistry. STEM Assessment Conference.

Wilson, M. (2004). Constructing measures: An item response modeling approach. New York: Routledge Academic.

Wilson, M. (2005). Constructing measures: An item response modeling approach. Mahwah, NJ: Erlbaum.