Biblio

Export 27 results:
Filters: First Letter Of Title is M  [Clear All Filters]
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 
M
Roberts, L., & Henke, R.. (1997). Mapping Middle School Students' Perceptions of the Relevance of Science. In M. Wilson & Engelhard, G. (Eds.), Objective Measurement: Theory into Practice. Volume 4) Norwood, NJ: Ablex.
Wilson, M., & Draney, K.. (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.
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.
Draney, K., & Wilson, M.. (1997, July). Mapping student progress with embedded assessments: The challenge of making evaluation meaningful. Presented at the National Evaluation Institute Workshop, Indianapolis, IN.
 (226.35 KB)
Baek, S. - G., & Choi, I. - H.. (2009). The mastery learner judgment consistency rate of Rasch model-based standard setting method: Focused on the comparison with raw-score and Angoff methods. In Criterion-referenced testing: Practice analysis to score reporting using Rasch measurement. Chicago: JAM Press.
 (813.59 KB)
Sammet, K., Moore, S., & Wilson, M.. (2013). Measuring Positive Youth Development in Context with the Desired Results Developmental Profile - School Age. Presented at the Annual meeting of the American Educational Research Association, San Francisco.
 (1.73 MB)
 (642.5 KB)
Wilson, M. (2009). Measuring progressions: Assessment structures underlying a learning progression. Journal of Research in Science Teaching, 46, 716–730.
 (405.51 KB)
 (4.08 MB)
Kennedy, C. (2000). Measuring Student Variables Useful in the Study of Performance in an Online Learning Environment (No. BEAR Research Note). University of California, Berkeley.
Claesgens, J. (2007). Measuring the development of conceptual understanding in chemistry (phd). University of California, Berkeley.
Drartey, K., Wilson, M., Glück, J., & Spiel, C.. (2008). Mixture models in a developmental context. Advances in Latent Variable Mixture Models, 199.
 (222.14 KB)
Brown, N. J. S., & Wilson, M.. (2011). A model of cognition: The missing cornerstone of assessment. Educational Psychology Review, 23, 221–234.
 (350.87 KB)
Torres Irribarra, D., & Diakow, R.. (2014, 04/2014). Modeling for directly mapping construct levels. Presented at the International Objective Measurement Workshop 20014, Philadelphia, Pennsylvania.
 (151.54 KB)
Kennedy, C. (2005, April). Models and tools for drawing inferences from student work. Presented at the Annual Meeting of the American Educational Research Association, Montreal, Canada.
Wilson, M., & Hoskens, M.. (1996, April). Multidimensional item responses: Multimethod-multitrait perspectives. Presented at the annual meeting of the American Educational Research Association. New York, NY.
Brown, N. J. S. (2005). The multidimensional measure of conceptual complexity. University of California, Berkeley.
 (390.4 KB)
Draney, K., & Peres, D.. (1998). Multidimensional modeling of complex science assessment data (No. BEAR Report Series). University of California, Berkeley.
 (761.82 KB)

Pages