Search results for author:"Stephen G. Clyman"
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You may get more results with author:"Stephen G. Clyman".
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The Generalizability of Scores for a Performance Assessment Scored with a Computer-Automated Scoring System
Brian E. Clauser; Polina Harik; Stephen G. Clyman
Journal of Educational Measurement Vol. 37, No. 3 (2000) pp. 245–61
Used generalizability theory to assess the impact of using independent, randomly equivalent groups of experts to develop scoring algorithms for computer simulation tasks designed to measure physicians' patient management skills. Results with three...
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A Comparison of the Generalizability of Scores Produced by Expert Raters and Automated Scoring Systems
Brian E. Clauser; David B. Swanson; Stephen G. Clyman
Applied Measurement in Education Vol. 12, No. 3 (1999) pp. 281–99
Performed generalizability analyses of expert ratings and computer-produced scores for a computer-delivered performance assessment of physicians' patient management skills. The two automated scoring systems produced scores for the 200 medical...
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Development of Automated Scoring Algorithms for Complex Performance Assessments: A Comparison of Two Approaches
Brian E. Clauser; Melissa J. Margolis; Stephen G. Clyman; Linette P. Ross
Journal of Educational Measurement Vol. 34, No. 2 (1997) pp. 141–61
Research on automated scoring is extended by comparing alternative automated systems for scoring a computer simulation of physicians' patient management skills. A regression-based system is more highly correlated with experts' evaluations than a...
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Development of a Scoring Algorithm To Replace Expert Rating for Scoring a Complex Performance-Based Assessment
Brian E. Clauser; Linette P. Ross; Stephen G. Clyman; Kathie M. Rose; Melissa J. Margolis; Ronald J. Nungester; Thomas E. Piemme; Lucy Chang; Gigi El-Bayoumi; Gary L. Malakoff; Pierre S. Pincetl
Applied Measurement in Education Vol. 10, No. 4 (1997) pp. 345–58
Describes an automated scoring algorithm for a computer-based simulation examination of physicians' patient-management skills. Results with 280 medical students show that scores produced using this algorithm are highly correlated to actual clinician ...