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Raymond, Mark R.; Harik, Polina; Clauser, Brian E. – Applied Psychological Measurement, 2011
Prior research indicates that the overall reliability of performance ratings can be improved by using ordinary least squares (OLS) regression to adjust for rater effects. The present investigation extends previous work by evaluating the impact of OLS adjustment on standard errors of measurement ("SEM") at specific score levels. In…
Descriptors: Performance Based Assessment, Licensing Examinations (Professions), Least Squares Statistics, Item Response Theory
Raymond, Mark R.; Clauser, Brian E.; Furman, Gail E. – Advances in Health Sciences Education, 2010
The use of standardized patients to assess communication skills is now an essential part of assessing a physician's readiness for practice. To improve the reliability of communication scores, it has become increasingly common in recent years to use statistical models to adjust ratings provided by standardized patients. This study employed ordinary…
Descriptors: Generalizability Theory, Physicians, Patients, Least Squares Statistics
Harik, Polina; Clauser, Brian E.; Grabovsky, Irina; Nungester, Ronald J.; Swanson, Dave; Nandakumar, Ratna – Journal of Educational Measurement, 2009
The present study examined the long-term usefulness of estimated parameters used to adjust the scores from a performance assessment to account for differences in rater stringency. Ratings from four components of the USMLE[R] Step 2 Clinical Skills Examination data were analyzed. A generalizability-theory framework was used to examine the extent to…
Descriptors: Generalizability Theory, Performance Based Assessment, Performance Tests, Clinical Experience