Biblio

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Conference Paper
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.
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.
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)
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.
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.
Draney, K., & Wilson, M.. (2007). Application of the Saltus model to stagelike data: Some applications and current developments. In Multivariate and mixture distribution Rasch models (pp. 119–130). Springer.
 (1.12 MB)
Book
Wilson, M., & Bertenthal, M. W.. (2005). Systems for State Science Assessment. Washington, D.C.: National Academy Press.
 (473.17 KB)
Bertenthal, M. W., Wilson, M., & ,. (2005). Systems for state science assessment. National Academies Press.
 (473.17 KB)
Bertenthal, M. W., Wilson, M., & ,. (2005). Systems for state science assessment. National Academies Press.
 (473.17 KB)
 (210.75 KB)
 (4.08 MB)

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