modified angoff method
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Author(s):  
Melissa N. Joseph ◽  
Jungsoo Chang ◽  
Samuel G. Buck ◽  
Marc A. Auerbach ◽  
Ambrose H. Wong ◽  
...  

2020 ◽  
Vol 7 ◽  
pp. 238212052098199
Author(s):  
Neelam Rekha Dwivedi ◽  
Narasimha Prasad Vijayashankar ◽  
Manisha Hansda ◽  
Arun Kumar Dubey ◽  
Fidelis Nwachukwu ◽  
...  

Background: OSCE are widely used for assessing clinical skills training in medical schools. Use of traditional pass fail cut off yields wide variations in the results of different cohorts of students. This has led to a growing emphasis on the application of standard setting procedures in OSCEs. Purpose/aim: The purpose of the study was comparing the utility, feasibility and appropriateness of 4 different standard setting methods with OSCEs at XUSOM. Methods: A 15-station OSCE was administered to 173 students over 6 months. Five stations were conducted for each organ system (Respiratory, Gastrointestinal and Cardiovascular). Students were assessed for their clinical skills in 15 stations. Four different standard setting methods were applied and compared with a control (Traditional method) to establish cut off scores for pass/fail decisions. Results: OSCE checklist scores revealed a Cronbach’s alpha of 0.711, demonstrating acceptable level of internal consistency. About 13 of 15 OSCE stations performed well with “Alpha if deleted values” lower that 0.711 emphasizing the reliability of OSCE stations. The traditional standard setting method (cut off score of 70) resulted in highest failure rate. The Modified Angoff Method and Relative methods yielded the lowest failure rates, which were typically less than 10% for each system. Failure rates for the Borderline methods ranged from 28% to 57% across systems. Conclusions: In our study, Modified Angoff method and Borderline regression method have shown to be consistently reliable and practically suitable to provide acceptable cut-off score across different organ system. Therefore, an average of Modified Angoff Method and Borderline Regression Method appeared to provide an acceptable cutoff score in OSCE. Further studies, in high-stake clinical examinations, utilizing larger number of judges and OSCE stations are recommended to reinforce the validity of combining multiple methods for standard setting.


2019 ◽  
Author(s):  
Petr Waldauf ◽  
Jerome Cockings ◽  
Christian Sitzwohl ◽  
Marco Maggiorini ◽  
Paul Elbers ◽  
...  

Abstract Background Standard setting is a method of determining the cut-off point on the scoring scale that separates the competent from the non-competent. This is a crucial feature of each exam. Pass rate should ideally be independent on the difficulty of exam content. Methods We compared the modified Angoff method (MAM) with the borderline regression method (BRM) of standard setting in 185 candidates examined by 137 examiners in the oral part of the European Diploma in Intensive Care exam, June 2018. We then compared the effect of removal of the hardest questions on the performance of the two techniques. The exam comprised 299 items in total across 6 OSCE stations. OSCE stations were of two types; short computer based OSCE stations (3 x 12 minutes), and longer structured discussion stations based on a clinical case (3 x 25 minutes). Our focus was the effect of item difficulty on the performance of the two standard setting techniques in determining the pass mark. Results MAM and BRM both led to similar pass rates overall for the shorter computer based 12 min OSCE stations. In the longer structured discussion 25 min stations MAM set a pass mark much higher than BRM, failing more of the candidates whose performance during the examination was judged by examiners on their global assessment as above the standard required to pass. Further analysis showed the exam items most affecting this were the more difficult items with lower discrimination; Angoff judges over-estimated the borderline candidates ability for these items. Elimination of these items led to convergence of pass marks achieved by the two methods. Conclusion Pass mark setting by Modified Angoff Method, but not by Borderline Regression Method, is influenced by the difficulty of exam content. This has practical implication for evaluating the results of OSCE exams.


2015 ◽  
Vol 26 (1) ◽  
pp. 7-8
Author(s):  
Stephen D. Schneid ◽  
Chris Armour ◽  
David Bazzo ◽  
Joe Ramsdell

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