Biblio

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B
Black, P., Wilson, M., & Yao, S. - Y.. (2011). Comments and Thoughts. Measurement: Interdisciplinary Research & Perspective, 9, 169–172.
 (81.64 KB)
Briggs, D. C. (2004). Causal Inference and the Heckman Model. Journal of Educational and Behavioral Statistics, 29, 397-420. doi:10.3102/10769986029004397
C
Chiu, T., Morell, L., & Wilson, M.. (2013). Coding Student Responses: An Iterative and Construct-Driven Approach that Uses Multiple Sources of Data. Presented at the Annual meeting of the American Educational Research Association, San Francisco.
 (172.07 KB)
H
Harcourt Assessment,. (2009). Constructing One Scale to Describe Two Statewide Exams. Journal of applied measurement, 10, 170–184.
 (571.23 KB)
R
Roczen, N., Kaiser, F. G., Bogner, F. X., & Wilson, M.. (2013). A competence model for environmental education. Environment and Behavior, 0013916513492416.
 (568.84 KB)
W
Wang, W. - C., & Wilson, M.. (1993, April). Comparing multiple-choice and performance-based items. Presented at the Seventh International Objective Measurement Workshop, Emory University, Atlanta, GA.
Wang, W. - C., & Wilson, M.. (1993, March). Comparing multiple-choice and performance-based items. Presented at the California Learning Assessment System Technical Advisory Committee meeting. San Francisco, CA.
Wilson, M. (2008). Cognitive diagnosis using item response models. Zeitschrift für Psychologie/Journal of Psychology, 216, 74–88.
 (375.54 KB)
Wilson, M. (2013). Challenges and Opportunities of Learning Progressions for the Psychometric Community. Presented at the annual meeting of the American Educational Research Association, San Francisco.
Wilson, M., Hoskens, M., & Wang, W. - C.. (1996, April). Complex item responses: Rater effects and item dependency. Presented at the annual meeting of the American Educational Research Association. New York, NY.
Wilson, M. (2003). On Choosing a Model for Measuring. Methods of Psychological Research.

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