Biblio

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Conference Paper
Sloane, K., Wilson, M., & Samson, S.. (1996, April). Designing an embedded assessment system: From principles to practice. Presented at the annual meeting of the American Educational Research Association, New York, NY.
Roberts, L. (1997, November). Data-Oriented Evaluation: Documenting the Rhetoric versus Reality of Assessment Reform in Science Education. Presented at the annual meeting of the American Evaluation Association, San Diego, CA.
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, March). Comparing multiple-choice and performance-based items. Presented at the California Learning Assessment System Technical Advisory Committee meeting. San Francisco, 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.
Kennedy, C. (2004, March). The BEAR Assessment System. Presented at the No Child Left Behind Technology Summit, St. Louis, MO.
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
Lehrer, R., Kim, M., Ayers, E., & Wilson, M.. (In Press). Toward establishing a learning progression to support the development of statistical reasoning. In J. Confrey & Maloney, A. (Eds.), Learning over Time: Learning Trajectories in Mathematics Education. Charlotte, NC: Information Age Publishers.
Kennedy, C. (2005). Ten surprises about teaching. In M. Kallet & Morgan, A. (Eds.), The Art of College Teaching: 28 Takes. Knoxville, TN: University of Tennessee Press.
Wilson, M., & Draney, K.. (2013). A Strategy for the Assessment of Competencies in Higher Education. In Modeling and Measuring Competencies in Higher Education (pp. 61–80). Springer.
 (1.46 MB)
Diakow, R., Torres Irribarra, D., & Wilson, M.. (2013). Some Comments on Representing Construct Levels in Psychometric Models. In New Developments in Quantitative Psychology (pp. 319–334). Springer New York.
 (981.89 KB)
Wilson, M. (2012). Responding To A Challenge That Learning Progressions Pose To Measurement Practice. In Learning progressions in science (pp. 317–343). Springer.
 (2.43 MB)
Wilson, M., Bejar, I., Scalise, K., Templin, J., Wiliam, D., & Torres Irribarra, D.. (2012). Perspectives on Methodological Issues. In Assessment and Teaching of 21st Century Skills (pp. 67–141). Springer.
 (1.46 MB)
Wilson, M., Bejar, I., Scalise, K., Templin, J., Wiliam, D., & Torres Irribarra, D.. (2012). Perspectives on Methodological Issues. In Assessment and Teaching of 21st Century Skills (pp. 67–141). Springer.
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.
Roberts, L., & Henke, R.. (1997). Mapping Middle School Students' Perceptions of the Relevance of Science. In M. Wilson & Engelhard, G. (Eds.), Objective Measurement: Theory into Practice. Volume 4) Norwood, NJ: Ablex.
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.
Wilson, M., & Adams, R. J.. (1996). Evaluating progress with alternative assessments: A model for Chapter 1. In M. B. Kane (Ed.), Implementing performance assessment: Promise, problems and challenges. Hillsdale, NJ: Erlbaum.

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