Biblio
Mapping student progress with embedded assessments: The challenge of making evaluation meaningful. Presented at the National Evaluation Institute Workshop, Indianapolis, IN.
. (1997, July). Application of the Saltus model to stagelike data: Some applications and current developments. In Multivariate and mixture distribution Rasch models (pp. 119–130). Springer.
. (2007). 
Designing & using an embedded assessment system to track student progress. Presented at the National Science Teachers Association conference, Chicago, IL.
. (2005, November). Selecting cut scores with a composite of item types: the construct mapping procedure. Journal of applied measurement, 12, 298–309.
. (2010). 
Mixture models in a developmental context. Advances in Latent Variable Mixture Models, 199.
. (2008). 
Measuring measuring: Toward a theory of proficiency with the Constructing Measures framework. Journal of applied measurement, 296.
. (2009). 
Validation of the International Classification of Functioning Disability and Health framework using multidimensional item response modeling. Disability & Rehabilitation, 32, 1397–1405.
. (2010). 
Predicting Mathematics Test Item Difficulties: Results of a Preliminary Study. Presented at the International Objective Measurement Workshop in Vancouver, BC.
. (2012, April 12). Designing and Using an Embedded Assessment System to Track Student Progress. Presented at the Annual Meeting of the National Science Teachers Association, Anaheim, CA.
. (2006, April). Constructing One Scale to Describe Two Statewide Exams. Journal of applied measurement, 10, 170–184.
. (2009). 
Accounting for rater effects in large scale testing using IRT. Presented at the European meeting of the Psychometric Society.
. (1997, June). Articulating Assessments Across Childhood: The Cross-Age Validity of the Desired Results Developmental Profile–Revised. Educational Assessment, 15, 1–26.
. (2010). 
Linking Developmental Profiles Across Age Groups. Presented at the
. (2006, April). Annual Meeting of the American Educational Research Association, San Francisco, CA
.
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
. (2007). Interpreting and using multidimensional performance data to improve learning. In , Applications of Rasch Measurement to Science Education. Chicago: JAM Press.
. (2007). Using progress variables and embedded assessment to improve teaching and learning. Presented at the Annual Meeting of the American Educational Research Association, Montreal, Canada.
. (2005, April). Online Education: Pathway or Barrier to Academic Equity. (No. BEAR Research Note). University of California, Berkeley.
. (1998). Constructing measurement models for MRCML estimation: A primer for using the BEAR scoring engine. University of California, Berkeley.
. (2005). 
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.
. (2003, April). A Primer on Design Matrices (No. BEAR Research Note). University of California, Berkeley.
. (2003). 
Mapping multiple dimensions of student learning: the ConstructMap program. Journal of applied measurement, 10, 1.
. (2009). Models and tools for drawing inferences from student work. Presented at the Annual Meeting of the American Educational Research Association, Montreal, Canada.
. (2005, April). Using Progress Variables to Interpret Student Achievement and Progress. University of California, Berkeley.
. (2006). 
The BEAR Assessment System. Presented at the No Child Left Behind Technology Summit, St. Louis, MO.
. (2004, March).