Biblio

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Book
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)
Wilson, M., & Bertenthal, M. W.. (2005). Systems for State Science Assessment. Washington, D.C.: National Academy Press.
 (473.17 KB)
 (210.75 KB)
 (4.08 MB)
Book Chapter
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.
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)
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)
Kennedy, C., & Draney, K.. (2007). Interpreting and using multidimensional performance data to improve learning. In X. Liu, Applications of Rasch Measurement to Science Education. Chicago: JAM Press.
Kennedy, C. (2005). Ten surprises about teaching. In M. Kallet & Morgan, A., The Art of College Teaching: 28 Takes. Knoxville, TN: University of Tennessee Press.
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., Learning over Time: Learning Trajectories in Mathematics Education. Charlotte, NC: Information Age Publishers.
Roberts, L., & Henke, R.. (1997). Mapping Middle School Students' Perceptions of the Relevance of Science. In M. Wilson & Engelhard, G., Objective Measurement: Theory into Practice. Volume 4) Norwood, NJ: Ablex.
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., & Adams, R. J.. (1996). Evaluating progress with alternative assessments: A model for Chapter 1. In M. B. Kane, Implementing performance assessment: Promise, problems and challenges. Hillsdale, NJ: Erlbaum.
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)
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. (2012). Responding To A Challenge That Learning Progressions Pose To Measurement Practice. In Learning progressions in science (pp. 317–343). Springer.
 (2.43 MB)
Conference Paper
Adams, R. J., & Wilson, M.. (1996, April). Multilevel modeling of complex item responses in multiple dimensions: Why bother?. Presented at the annual meeting of the American Educational Research Association. New York, NY.
Allen, D. (2006, April). Using item response modeling methods to develop theory related to human performance. Presented at the International Objective Measurement Workshop, Berkeley, CA.

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