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• W1551314483 abstract "Psychometric models based on structural equation modeling framework are commonly used in many multiple-choice test settings to assess measurement invariance of test items across examinee subpopulations. The premise of the current article is that they may also be useful in the context of performance assessment tests to test measurement invariance of raters. The modeling approach and how it can be used for performance tests with less than optimal rater designs are illustrated using a data set from a performance test designed to measure medical students’ patient management skills. The results suggest that group-specific rater statistics can help spot differences in rater performance that might be due to rater bias, identify specific weaknesses and strengths of individual raters, and enhance decisions related to future task development, rater training, and test scoring processes." @default.
• W1551314483 created "2016-06-24" @default.
• W1551314483 creator A5041762576 @default.
• W1551314483 creator A5061021177 @default.
• W1551314483 date "2015-07-16" @default.
• W1551314483 modified "2023-10-17" @default.
• W1551314483 title "Using Multigroup Confirmatory Factor Analysis to Test Measurement Invariance in Raters: A Clinical Skills Examination Application" @default.
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• W1551314483 doi "https://doi.org/10.1080/08957347.2015.1062763" @default.
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