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Acad Med ; 88(5): 688-92, 2013 May.
Artigo em Inglês | MEDLINE | ID: mdl-23524920

RESUMO

PURPOSE: Previous studies on standardized patient (SP) exams reported score gains both across attempts when examinees failed and retook the exam and over multiple SP encounters within a single exam session. The authors analyzed the within-session score gains of examinees who repeated the United States Medical Licensing Examination Step 2 Clinical Skills to answer two questions: How much do scores increase within a session? Can the pattern of increasing first-attempt scores account for across-session score gains? METHOD: Data included encounter-level scores for 2,165 U.S. and Canadian medical students and graduates who took Step 2 Clinical Skills twice between April 1, 2005 and December 31, 2010. The authors modeled examinees' score patterns using smoothing and regression techniques and applied statistical tests to determine whether the patterns were the same or different across attempts. In addition, they tested whether any across-session score gains could be explained by the first-attempt within-session score trajectory. RESULTS: For the first and second attempts, the authors attributed examinees' within-session score gains to a pattern of score increases over the first three to six SP encounters followed by a leveling off. Model predictions revealed that the authors could not attribute the across-session score gains to the first-attempt within-session score gains. CONCLUSIONS: The within-session score gains over the first three to six SP encounters of both attempts indicate that there is a temporary "warm-up" effect on performance that "resets" between attempts. Across-session gains are not due to this warm-up effect and likely reflect true improvement in performance.


Assuntos
Avaliação Educacional/métodos , Licenciamento em Medicina , Exame Físico/normas , Canadá , Competência Clínica/normas , Competência Clínica/estatística & dados numéricos , Avaliação Educacional/normas , Avaliação Educacional/estatística & dados numéricos , Humanos , Modelos Estatísticos , Análise de Regressão , Estados Unidos
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