Biblio
. (2006). Using Progress Variables to Interpret Student Achievement and Progress. University of California, Berkeley.
(551.59 KB). (2005). The BEAR assessment system: A brief summary for the classroom context. University of California, Berkeley.
(221.42 KB). (2005). Constructing measurement models for MRCML estimation: A primer for using the BEAR scoring engine. University of California, Berkeley.
(412.62 KB). (2005). Constructing measures: An item response modeling approach. Mahwah, NJ: Erlbaum.
. (2005, November). Designing & using an embedded assessment system to track student progress. Presented at the National Science Teachers Association conference, Chicago, IL.
. (2005, April). Models and tools for drawing inferences from student work. Presented at the Annual Meeting of the American Educational Research Association, Montreal, Canada.
. (2005). The multidimensional measure of conceptual complexity. University of California, Berkeley.
(390.4 KB). (2005). Systems for state science assessment. National Academies Press.
(473.17 KB). (2005). Systems for state science assessment. National Academies Press.
(473.17 KB). (2005). Systems for State Science Assessment. Washington, D.C.: National Academy Press.
(473.17 KB). (2005). Ten surprises about teaching. In , The Art of College Teaching: 28 Takes. Knoxville, TN: University of Tennessee Press.
. (2005). Theoretical issues in the Desired Results Developmental Profile. Presented at the
Annual meeting of the American Educational Research Association, Montreal, Canada.
.. (2005, April). Using PADI to develop an online self-assessment system that supports student science learning in FOSS. Presented at the Annual Meeting of the American Educational Research Association, Montreal, Canada.
. (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.
. (2004, March). The BEAR Assessment System. Presented at the No Child Left Behind Technology Summit, St. Louis, MO.
. (2004). Causal Inference and the Heckman Model. Journal of Educational and Behavioral Statistics, 29, 397-420. doi:10.3102/10769986029004397
. (2004). Constructing measures: An item response modeling approach. New York: Routledge Academic.
. (2004). Evaluating SAT coaching: gains, effects and self-selection. Rethinking the SAT: The Future of Standardized Testing in University Admissions, 217–233.
. (2004, April). An example of a task template from the Full Option Science System (FOSS). Presented at the Annual Meeting of the American Educational Research Association, San Diego, CA.
. (2004). Explanatory Item Response Models: A Generalized Linear and Nonlinear Approach. Springer.
. (2004). The Imperial vs Metric Study. University of California, Berkeley.
. (2004). Interpreting Ordered Partition Model Parameters from ConQuest. University of California, Berkeley.
(756.77 KB). (2004). Perspectives of Chemists: Tracking conceptual understanding of student learning in chemistry at the secondary and university levels. Enhancing the Visibility and Credibility of Educational Research, American Educational Research Association Annual Meeting, San Diego, CA.
. (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.
. (2004, April). Technology Underlying task templates in the PADI design system: The scoring engine. Presented at the Annual Meeting of the American Educational Research Association, San Diego, CA.