Literature DB >> 31657266

Setting defensible standards in small cohort OSCEs: Understanding better when borderline regression can 'work'.

Matt Homer1, Richard Fuller2, Jennifer Hallam1, Godfrey Pell1.   

Abstract

Introduction: Borderline regression (BRM) is considered problematic in small cohort OSCEs (e.g. n < 50), with institutions often relying on item-centred standard setting approaches which can be resource intensive and lack defensibility in performance tests.
Methods: Through an analysis of post-hoc station- and test-level metrics, we investigate the application of BRM in three different small-cohort OSCE contexts: the exam for international medical graduates wanting to practice in the UK, senior sequential undergraduate exams, and Physician associates exams in a large UK medical school.
Results: We find that BRM provides robust metrics and concomitantly defensible cut scores in the majority of stations (percentage of problematic stations 5, 14, and 12%, respectively across our three contexts). Where problems occur, this is generally due to an insufficiently strong relationship between global grades and checklist scores to be confident in the standard set by BRM in these stations.
Conclusion: This work challenges previous assumptions about the application of BRM in small test cohorts. Where there is sufficient spread of ability, BRM will generally provide defensible standards, assuming careful design of station-level scoring instruments. However, extant station cut-scores are preferred as a substitute where BRM standard setting problems do occur.

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Year:  2019        PMID: 31657266     DOI: 10.1080/0142159X.2019.1681388

Source DB:  PubMed          Journal:  Med Teach        ISSN: 0142-159X            Impact factor:   3.650


  2 in total

1.  Standard setting made easy: validating the Equal Z-score (EZ) method for setting cut-score for clinical examinations.

Authors:  Boaz Shulruf; Ying-Ying Yang; Pin-Hsiang Huang; Ling-Yu Yang; Chin-Chou Huang; Chia-Chang Huang; Chih-Wei Liu; Shiau-Shian Huang; Chen-Huan Chen; Fa-Yauh Lee; Shou-Yen Kao
Journal:  BMC Med Educ       Date:  2020-05-25       Impact factor: 2.463

2.  Pass/fail decisions and standards: the impact of differential examiner stringency on OSCE outcomes.

Authors:  Matt Homer
Journal:  Adv Health Sci Educ Theory Pract       Date:  2022-03-01       Impact factor: 3.629

  2 in total

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