Biblio

Export 211 results:
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
Y
Yamada, H., Draney, K., Karelitz, T. M., Moore, S., & Wilson, M.. (2006, April). Comparison of dimension-aligning techniques in a multidimensional IRT context. Presented at the 13th International Objective Measurement Workshops, Berkeley, CA.
X
Xie, Y. (2001). Dimensionality, Dependence, or Both?: An Application of the Item Bundle Model to Multidimensional Data. Position Paper; Policy, Organization, Measurement, & Evaluation; Graduate School of Education; University of California, Berkeley.
Xie, Y. (2002). An Application of a Special Two-Class Item Response Model Using Markov Chain Monte Carlo Method. Position Paper; Policy, Organization, Measurement, & Evaluation; Graduate School of Education; University of California, Berkeley.
W
Wilson, M. (2009). Assessment from the ground up. Phi Delta Kappan, 91, 68–71.
 (194.72 KB)
 (4.08 MB)
Wilson, M., Bejar, I., Scalise, K., Templin, J., Wiliam, D., & Torres Irribarra, D.. (2012). Perspectives on Methodological Issues. In Assessment and Teaching of 21st Century Skills (pp. 67–141). Springer.
Wilson, M., & Adams, R. J.. (1996). Evaluating progress with alternative assessments: A model for Chapter 1. In M. B. Kane (Ed.), Implementing performance assessment: Promise, problems and challenges. Hillsdale, NJ: Erlbaum.
Wilson, M., & Draney, K.. (1996, April). Mapping student progress with embedded assessments. Presented at the annual meeting of the American Educational Research Association, New York, NY.
Wilson, M., & Xie, Y.. (2004). The Imperial vs Metric Study. University of California, Berkeley.
Wilson, M., Roberts, L., Samson, S., & Sloane, K.. (2000). SEPUP Assessment Resources Handbook (No. BEAR Report Series). University of California, Berkeley.
Wilson, M., & Draney, K.. (1997, March). Developing maps for student progress in the SEPUP assessment system. Presented at the ninth International Objective Measurement Workshop, Chicago, IL.
Wilson, M., & Bertenthal, M. W.. (2005). Systems for State Science Assessment. Washington, D.C.: National Academy Press.
 (473.17 KB)
Wilson, M., & Case, H.. (1996, June). An investigation of the feasibility and potential effects of rater feedback on rater errors. Presented at the Council of Chief State School Officers National Conference. Phoenix, AZ.
 (807.81 KB)
Wilson, M., & Sloane, K.. (2000). From principles to practice: An embedded assessment system. Applied Measurement in Education, 13, 181–208.
 (5.67 MB)
Wilson, M. (1997, Jannuary). Assessment and evaluation together in the service of instruction and learning. Presented at the National Science Foundation Status of Middle School Science Conference. Washington, DC.
Wilson, M., & Adams, R. J.. (1992, June). Evaluating progress with alternative assessments: A model for Chapter 1. Presented at the Invited address to the conference on Curriculum and Assessment Reform. Boulder, CO.
Wilson, M. (2012). Responding To A Challenge That Learning Progressions Pose To Measurement Practice. In Learning progressions in science (pp. 317–343). Springer.
 (2.43 MB)
Wilson, M., Thier, H., Sloane, K., & Nagle, B.. (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.

Pages