Biblio

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D
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.
 (1.12 MB)
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.
 (448 KB)
Drartey, K., Wilson, M., Glück, J., & Spiel, C.. (2008). Mixture models in a developmental context. Advances in Latent Variable Mixture Models, 199.
 (222.14 KB)
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 (138.66 KB) (191.91 KB)
F
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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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.
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Harcourt Assessment,. (2009). Constructing One Scale to Describe Two Statewide Exams. Journal of applied measurement, 10, 170–184.
 (571.23 KB)
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.
K
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Karelitz, T. M., Parrish, D., & Yamada, H.. (2006, April). Linking Developmental Profiles Across Age Groups. Presented at the

Annual Meeting of the American Educational Research Association, San Francisco, CA

.
 (1.17 MB)
Kennedy, C., Burmester, K., Harrell, S. Veeragouda, Timms, M., Bernbaum, D., Scalise, K., & Wilson, M.. (2007). Adaptive Technology for e-Learning: Principles and Case Studies of an Emerging Field. Journal of the American Society for Information Science and Technology, 58(14). doi:10.1002
Kennedy, C., & Draney, K.. (2007). Interpreting and using multidimensional performance data to improve learning. In X. Liu (Ed.), Applications of Rasch Measurement to Science Education. Chicago: JAM Press.
Kennedy, C., Brown, N. J. S., Draney, K., & Wilson, M.. (2005, April). Using progress variables and embedded assessment to improve teaching and learning. Presented at the Annual Meeting of the American Educational Research Association, Montreal, Canada.
Kennedy, C. (1998). Online Education: Pathway or Barrier to Academic Equity. (No. BEAR Research Note). University of California, Berkeley.
 (412.62 KB)
Kennedy, C. (2003). A Primer on Design Matrices (No. BEAR Research Note). University of California, Berkeley.
 (53.24 KB)
Kennedy, C. (2003, April). Promoting Success in Online College Courses: Understanding Interactions Between Course Structure and Learner Readiness. Presented at the Annual Meeting of the American Educational Research Association, New Orleans, LA.
Kennedy, C. (2005, April). Models and tools for drawing inferences from student work. Presented at the Annual Meeting of the American Educational Research Association, Montreal, Canada.
 (551.59 KB)
Kennedy, C. (2004, March). The BEAR Assessment System. Presented at the No Child Left Behind Technology Summit, St. Louis, MO.

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