Biblio

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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.
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Xie, Y. (2001). Dimensionality, Dependence, or Both?: An Application of the Item Bundle Model to Multidimensional Data. Position Paper; Policy, Organization, Measurement, & Evaluation; Graduate School of Education; University of California, Berkeley.
Xie, Y. (2002). An Application of a Special Two-Class Item Response Model Using Markov Chain Monte Carlo Method. Position Paper; Policy, Organization, Measurement, & Evaluation; Graduate School of Education; University of California, Berkeley.
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Wilson, M., & Bertenthal, M. W.. (2005). Systems for State Science Assessment. Washington, D.C.: National Academy Press.
 (473.17 KB)
Wilson, M., & Case, H.. (1996, June). An investigation of the feasibility and potential effects of rater feedback on rater errors. Presented at the Council of Chief State School Officers National Conference. Phoenix, AZ.
 (807.81 KB)
Wilson, M., & Sloane, K.. (2000). From principles to practice: An embedded assessment system. Applied Measurement in Education, 13, 181–208.
 (5.67 MB)
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.
Wilson, M., & Adams, R. J.. (1992, June). Evaluating progress with alternative assessments: A model for Chapter 1. Presented at the Invited address to the conference on Curriculum and Assessment Reform. Boulder, CO.
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., Thier, H., Sloane, K., & Nagle, B.. (1996, April). What have we learned from developing an embedded assessment system?. Presented at the annual meeting of the American Educational Research Association, New York, NY.
 (1.23 MB)
Wilson, M. (2003). On Choosing a Model for Measuring. Methods of Psychological Research.
Wilson, M. (2009). Measuring progressions: Assessment structures underlying a learning progression. Journal of Research in Science Teaching, 46, 716–730.
 (405.51 KB)
Wilson, M. (1998, Jannuary). Embedding developmental assessment into an instructional curriculum: The case of SEPUP's Issues, Evidence and You. Presented at the International Developmental Assessment Seminar, Royal Melbourne Institute of Technology, Melbourne, Australia.
Wilson, M. (1994, April). Multimode assessment involving raters. Presented at the annual meeting of the American Educational Research Association. Atlanta, GA.
 (683.76 KB)
Wilson, M., Black, P., & Morell, L.. (2013). A Learning Progression Approach to Understanding Students’ Conceptions of the Structure of Matter. Presented at the annual meeting of the American Educational Research Association, San Francisco.
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)

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