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Harcourt Assessment,. (2009). Constructing One Scale to Describe Two Statewide Exams. Journal of applied measurement, 10, 170–184.
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Galpern, A., & Moore, S.. (2006, April). Designing and Using an Embedded Assessment System to Track Student Progress. Presented at the Annual Meeting of the National Science Teachers Association, Anaheim, CA.
Fisher, Jr., W. P., Seeratan, K., Draney, K., Wilson, M., Murray, E., Saldarriaga, C., et al.. (2012, April 12). Predicting Mathematics Test Item Difficulties: Results of a Preliminary Study. Presented at the International Objective Measurement Workshop in Vancouver, BC.
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Drartey, K., Wilson, M., Glück, J., & Spiel, C.. (2008). Mixture models in a developmental context. Advances in Latent Variable Mixture Models, 199.
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Draney, K., Galpern, A., & Wilson, M.. (2005, November). Designing & using an embedded assessment system to track student progress. Presented at the National Science Teachers Association conference, Chicago, IL.
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Draney, K., & Peres, D.. (1998). Multidimensional modeling of complex science assessment data (No. BEAR Report Series). University of California, Berkeley.
Draney, K., Moore, S., & Wilson, M.. (2005). Theoretical issues in the Desired Results Developmental Profile. Presented at the

Annual meeting of the American Educational Research Association, Montreal, Canada.

Draney, K., & Wilson, M.. (1997, July). Mapping student progress with embedded assessments: The challenge of making evaluation meaningful. Presented at the National Evaluation Institute Workshop, Indianapolis, IN.
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.
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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.
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