Biblio
. (2005, November). Designing & using an embedded assessment system to track student progress. Presented at the National Science Teachers Association conference, Chicago, IL.
. (2010). Selecting cut scores with a composite of item types: the construct mapping procedure. Journal of applied measurement, 12, 298–309.
(448 KB). (1998). Multidimensional modeling of complex science assessment data (No. BEAR Report Series). University of California, Berkeley.
. (2008). A LLTM approach to the examination of teachers' ratings of classroom assessment tasks. Psychology Science, 50, 417.
. (2008). Mixture models in a developmental context. Advances in Latent Variable Mixture Models, 199.
(222.14 KB). (2009). Measuring measuring: Toward a theory of proficiency with the Constructing Measures framework. Journal of applied measurement, 296.
(813.59 KB). (2011). Advances in Rasch measurement Volume 2.
(138.66 KB) (191.91 KB). (2010). Validation of the International Classification of Functioning Disability and Health framework using multidimensional item response modeling. Disability & Rehabilitation, 32, 1397–1405.
(214.15 KB). (2012, April 12). Predicting Mathematics Test Item Difficulties: Results of a Preliminary Study. Presented at the International Objective Measurement Workshop in Vancouver, BC.
. (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.
. (2009). Constructing One Scale to Describe Two Statewide Exams. Journal of applied measurement, 10, 170–184.
(571.23 KB). (1997, June). Accounting for rater effects in large scale testing using IRT. Presented at the European meeting of the Psychometric Society.
. (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). (2010). Articulating Assessments Across Childhood: The Cross-Age Validity of the Desired Results Developmental Profile–Revised. Educational Assessment, 15, 1–26.
(2.02 MB). (2000). What Influences Student Learning in an Online Course? (No. BEAR Research Note). University of California, Berkeley.
. (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.
. (1998). Conflicting Purposes of Higher Education: Will Improving Access to Higher Education Undermine Quality? (No. BEAR Research Note). University of California, Berkeley.
. (2005). The BEAR assessment system: A brief summary for the classroom context. University of California, Berkeley.
(221.42 KB). (2006, April). Simplified scoring of performance activities: Comparing assessment stories from complex and simple scoring approaches. Presented at the Annual Meeting of the National Council on Measurement in Education, San Francisco, CA.
. (2000). Measuring Student Variables Useful in the Study of Performance in an Online Learning Environment (No. BEAR Research Note). University of California, Berkeley.
. (1999, October). Reinventing Online Education From a Social Context. Presented at the "Online Education in California Community Colleges: Faculty Perspectives" Conference at College of San Mateo.
. (2005). Ten surprises about teaching. In , The Art of College Teaching: 28 Takes. Knoxville, TN: University of Tennessee Press.
. (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.
. (1998). Turning the Tables: Engaging Teachers in the Learning Process. (No. BEAR Research Note). University of California, Berkeley.
. (2007). Using progress variables to map intellectual development. Berkeley, CA: Berkeley Evaluation & Assessment Research Center.
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