Biblio
. (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.
. (2006). Using Progress Variables to Interpret Student Achievement and Progress. University of California, Berkeley.
(551.59 KB). (2007). Using progress variables to map intellectual development. Berkeley, CA: Berkeley Evaluation & Assessment Research Center.
(402.92 KB). (2013). Using the concept of a measurement system to characterize measurement models used in psychometrics. Measurement, 46, 3766–3774.
(1.23 MB). (2013). “Valid Approach to Observational Authentic Assessment.” In M. Wilson (Chair), Authentic Observational Assessment of Young Children: Frameworks, Methods, Special Considerations, and Policy Implications. . American Educational Research Association (AERA). Symposium, San Francisco, CA.
. (2011). Validating a learning progression in mathematical functions for college readiness. Mathematical Thinking and Learning, 13, 259–291.
(1.22 MB). (2009). Validating for use and interpretation a mixed methods contribution illustrated. Journal of Mixed Methods Research, 3, 242–264.
(361.57 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). (1996, April). What have we learned from developing an embedded assessment system?. Presented at the annual meeting of the American Educational Research Association, New York, NY.
. (2000). What Influences Student Learning in an Online Course? (No. BEAR Research Note). University of California, Berkeley.
. (1994, April). What technical issues might be major concerns in implementing new assessments and new technologies. Presented at the National Council for Measurement in Education annual meeting. New Orleans, LA.