The Experts below are selected from a list of 303 Experts worldwide ranked by ideXlab platform
Constance T. Murray - One of the best experts on this subject based on the ideXlab platform.
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The impact of postgraduate training on USMLE® step 3® and its computer-based case Simulation Component.
Journal of general internal medicine, 2011Co-Authors: Richard A. Feinberg, Kimberly A. Swygert, Steven A. Haist, Gerard F. Dillon, Constance T. MurrayAbstract:BACKGROUND The United States Medical Licensing Examination® (USMLE®) Step 3® examination is a computer-based examination composed of multiple choice questions (MCQ) and computer-based case Simulations (CCS). The CCS portion of Step 3 is unique in that examinees are exposed to interactive patient-care Simulations.
Polina Harik - One of the best experts on this subject based on the ideXlab platform.
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Scoring the Computer-Based Case Simulation Component of USMLE Step 3: A Comparison of Preoperational and Operational Data
Academic Medicine, 2004Co-Authors: Melissa J Margolis, Brian E Clauser, Polina HarikAbstract:Purpose. Operational USMLE™ computer-based case Simulation results were examined to determine the extent to which rater reliability and regression model performance met expectations based on preoperational data. Method. Operational data resulted from Step 3 examinations given between 1999 and 2004. Plots were produced using reliability and multiple correlation coefficients. Results. Operational testing reliabilities increased over the four years but were lower than the preoperational reliability. Multiple correlation coefficient results are somewhat superior to the results reported during the preoperational period and suggest that the operational scoring algorithms have been relatively consistent. Conclusions. Changes in the rater population, changes in the rating task, and enhancements to the training procedures are several factors that can explain the identified differences between preoperational and operational results. The present findings have important implications for test development and test validity.
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Scoring the computer-based case Simulation Component of USMLE Step 3: a comparison of preoperational and operational data.
Academic medicine : journal of the Association of American Medical Colleges, 2004Co-Authors: Melissa J Margolis, Brian E Clauser, Polina HarikAbstract:Operational USMLE(TM) computer-based case Simulation results were examined to determine the extent to which rater reliability and regression model performance met expectations based on preoperational data. Operational data resulted from Step 3 examinations given between 1999 and 2004. Plots were produced using reliability and multiple correlation coefficients. Operational testing reliabilities increased over the four years but were lower than the preoperational reliability. Multiple correlation coefficient results are somewhat superior to the results reported during the preoperational period and suggest that the operational scoring algorithms have been relatively consistent. Changes in the rater population, changes in the rating task, and enhancements to the training procedures are several factors that can explain the identified differences between preoperational and operational results. The present findings have important implications for test development and test validity.
Richard A. Feinberg - One of the best experts on this subject based on the ideXlab platform.
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The impact of postgraduate training on USMLE® step 3® and its computer-based case Simulation Component.
Journal of general internal medicine, 2011Co-Authors: Richard A. Feinberg, Kimberly A. Swygert, Steven A. Haist, Gerard F. Dillon, Constance T. MurrayAbstract:BACKGROUND The United States Medical Licensing Examination® (USMLE®) Step 3® examination is a computer-based examination composed of multiple choice questions (MCQ) and computer-based case Simulations (CCS). The CCS portion of Step 3 is unique in that examinees are exposed to interactive patient-care Simulations.
Amr Elfar - One of the best experts on this subject based on the ideXlab platform.
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Integrated optimization and Simulation framework for large-scale crowd management application
Transportation Research Record, 2016Co-Authors: I. Ömer Verbas, Hani S. Mahmassani, Ahmed F. Abdelghany, Amr ElfarAbstract:This paper introduces an integrated optimization–Simulation framework for the formation, scheduling, and path assignment of groups at large-scale, organized events. The framework consists of network analysis, optimization, and Simulation Components. The first Component finds sets of shortest paths for each origin in the network. The optimization Component determines the group size, the departure time, and the path under capacity constraints. The objective is minimization of the travel time and matching of the preferred arrival time distribution of different demand units. The Simulation Component simulates each person in the network according to that person’s path and departure time determined by the previous Components. The network performance characteristics supplied by the Simulation inform the network analysis and optimization Components for the next iteration. The framework is applied to the Jamarat process during the Hajj season in the Kingdom of Saudi Arabia to provide a schedule for 1.5 million peo...
Melissa J Margolis - One of the best experts on this subject based on the ideXlab platform.
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Scoring the Computer-Based Case Simulation Component of USMLE Step 3: A Comparison of Preoperational and Operational Data
Academic Medicine, 2004Co-Authors: Melissa J Margolis, Brian E Clauser, Polina HarikAbstract:Purpose. Operational USMLE™ computer-based case Simulation results were examined to determine the extent to which rater reliability and regression model performance met expectations based on preoperational data. Method. Operational data resulted from Step 3 examinations given between 1999 and 2004. Plots were produced using reliability and multiple correlation coefficients. Results. Operational testing reliabilities increased over the four years but were lower than the preoperational reliability. Multiple correlation coefficient results are somewhat superior to the results reported during the preoperational period and suggest that the operational scoring algorithms have been relatively consistent. Conclusions. Changes in the rater population, changes in the rating task, and enhancements to the training procedures are several factors that can explain the identified differences between preoperational and operational results. The present findings have important implications for test development and test validity.
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Scoring the computer-based case Simulation Component of USMLE Step 3: a comparison of preoperational and operational data.
Academic medicine : journal of the Association of American Medical Colleges, 2004Co-Authors: Melissa J Margolis, Brian E Clauser, Polina HarikAbstract:Operational USMLE(TM) computer-based case Simulation results were examined to determine the extent to which rater reliability and regression model performance met expectations based on preoperational data. Operational data resulted from Step 3 examinations given between 1999 and 2004. Plots were produced using reliability and multiple correlation coefficients. Operational testing reliabilities increased over the four years but were lower than the preoperational reliability. Multiple correlation coefficient results are somewhat superior to the results reported during the preoperational period and suggest that the operational scoring algorithms have been relatively consistent. Changes in the rater population, changes in the rating task, and enhancements to the training procedures are several factors that can explain the identified differences between preoperational and operational results. The present findings have important implications for test development and test validity.
