Biblio
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. (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). (2006, April). Comparison of dimension-aligning techniques in a multidimensional IRT context. Presented at the 13th International Objective Measurement Workshops, Berkeley, CA.
. (2009). Concrete, abstract, formal, and systematic operations as observed in a" Piagetian" balance-beam task series. Journal of applied measurement, 11, 11–23.
(417.22 KB). (2010). Concrete, abstract, formal, and systematic operations as observed in a" Piagetian" balance-beam task series. Journal of applied measurement, 11, 11.
. (2008). ConstructMap Version 4 (computer program). University of, Berkeley, CA: BEAR Center.
(288.38 KB). (2005, November). Designing & using an embedded assessment system to track student progress. Presented at the National Science Teachers Association conference, Chicago, IL.
. (1997, March). Developing maps for student progress in the SEPUP assessment system. Presented at the ninth International Objective Measurement Workshop, Chicago, IL.
. (1997). Developing maps for student progress in the SEPUP Assessment System. University of California, Berkeley.
. (2012, April 14). Diagnostic Learning Progressions Framework—Developing a Universally Designed Classroom Assessment System That Is Inclusive of Students With Mathematics Learning Disabilities: Our First Pilot Study. (). Presented at the annual meeting of the American Educational Research Association in Vancouver, BC.
. (2007). Interpreting and using multidimensional performance data to improve learning. In , Applications of Rasch Measurement to Science Education. Chicago: JAM Press.
. (2014, 04/2014). Investigation of item properties using the LLTM for polytomous Items. Presented at the National Council on Measurement in Education, Philadelphia, Pennsylvania.
(1.16 MB). (2008). A LLTM approach to the examination of teachers' ratings of classroom assessment tasks. Psychology Science, 50, 417.
. (2009). Mapping multiple dimensions of student learning: the ConstructMap program. Journal of applied measurement, 10, 1.
. (1997, July). Mapping student progress in science with embedded assessments. Presented at the annual conference of the American Association for the Advancement of Science, Seattle WA.
. (1996, April). Mapping student progress with embedded assessments. Presented at the annual meeting of the American Educational Research Association, New York, NY.
. (1997, July). Mapping student progress with embedded assessments: The challenge of making evaluation meaningful. Presented at the National Evaluation Institute Workshop, Indianapolis, IN.
. (2009). Measuring measuring: Toward a theory of proficiency with the Constructing Measures framework. Journal of applied measurement, 296.
(813.59 KB). (1998). Multidimensional modeling of complex science assessment data (No. BEAR Report Series). University of California, Berkeley.
. (2002). Perspective of a Chemist: A Framework to Promote Conceptual Understanding of Chemistry. Presented at the
Annual Meeting of the American Educational Research Association, New Orleans, LA.
.. (2012, April 12). Predicting Mathematics Test Item Difficulties: Results of a Preliminary Study. Presented at the International Objective Measurement Workshop in Vancouver, BC.
. (2010). Selecting cut scores with a composite of item types: the construct mapping procedure. Journal of applied measurement, 12, 298–309.
(448 KB). (1997). The SEPUP Assessment System: An Overview. University of California, Berkeley.
(578.03 KB). (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.
. (2012, April 12). Special Education Learning Progressions in Mathematics: An Investigation Using the BEAR Assessment System. Presented at the International Objective Measurement Workshop, Vancouver, BC.
. (2013). A Strategy for the Assessment of Competencies in Higher Education. In Modeling and Measuring Competencies in Higher Education (pp. 61–80). Springer.
(1.46 MB)