%0 Journal Article
%T Standard Setting for Objective Structured Clinical Exam Using Four Methods: Prefixed score Angoff Borderline Regression and Cohens
%J Strides in Development of Medical Education
%I Kerman University of Medical Sciences
%Z 2645-3525
%A Jalili, Mohammad
%A Mortazhejri, Sara
%D 2012
%\ 07/01/2012
%V 9
%N 1
%P 77-84
%! Standard Setting for Objective Structured Clinical Exam Using Four Methods: Prefixed score Angoff Borderline Regression and Cohens
%K Standard setting
%K Objective structured clinical examination
%K Angoff
%K Borderline regression method
%K Cohen method
%R
%X Background & Objectives: Different methods have been introduced to determine the cutscores of exams However they have been rarely used in our country In this study we used four methods to set a standard for preinternship objective structured clinical examination (OSCE) in Tehran University of Medical Sciences Methods: A prefixed score of 60% was considered in the first approach In the Angoff method a panel including 11faculty members was invited to estimate the probability of passing each station for a borderline student and mean of all estimations was considered as the station standard In borderline regression method a linear regression model for each station was calculated in which the students checklist scores and general scores were considered as dependent and independent variables respectively The station standard was calculated based on grade 2 in Likert scale In Cohens method we set the standard at 60% of the 95th percentile point Results : The standards for the total test in the prefixed score Angoff borderline regression and Cohens methods were respectively 60 4915 4239 and 4274 According to these standards the percentages of passing students were respectively 219% 676% 933% and 924% Conclusion: Using four methods to set standard of an OSCE showed that this approach for determining exams cutscore has significant effect on the calculated standard and the percent of students passing the exam
%U https://sdme.kmu.ac.ir/article_90231_f6a9a5cb478e8b8147a83ceb148532e8.pdf