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., & 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.
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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.
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Wilson, M., & Draney, K.. (2004). Some Links Between Large-Scale and Classroom Assessments: The Case of the BEAR Assessment System. Yearbook of the National Society for the Study of Education, 103, 132–154.
Wilson, M., de Boeck, P., & Carstensen, C.. (2008). Explanatory item response models: A brief introduction. Assessment of competencies in educational contexts, 91–120.
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Wilson, M., & Scalise, K.. (2003, June). Research on learning: Implications for assessment in higher education. Presented at the American Association for Higher Education Assessment Conference, Seattle, WA.
Wilson, M. (2009). Assessment from the ground up. Phi Delta Kappan, 91, 68–71.
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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.
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.
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., & Xie, Y.. (2004). The Imperial vs Metric Study. University of California, Berkeley.
Wilson, M., Roberts, L., Samson, S., & Sloane, K.. (2000). SEPUP Assessment Resources Handbook (No. BEAR Report Series). University of California, Berkeley.
Wilson, M., & Draney, K.. (1997, March). Developing maps for student progress in the SEPUP assessment system. Presented at the ninth International Objective Measurement Workshop, Chicago, IL.
Wilson, M., & Bertenthal, M. W.. (2005). Systems for State Science Assessment. Washington, D.C.: National Academy Press.
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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)

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