Evidence map›Paper›PMID 36252990›Full record

ArticleJournal of educational evaluation for health professions2022

Equal Z standard-setting method to estimate the minimum number of panelists for a medical school’s objective structured clinical examination in Taiwan: a simulation study

Ying-Ying Yang, Pin-Hsiang Huang, Ling-Yu Yang, Chia-Chang Huang, Chih-Wei Liu, Shiau-Shian Huang, Chen-Huan Chen, Fa-Yauh Lee, Shou-Yen Kao, Boaz Shulruf

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Article in Journal of educational evaluation for health professions, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Ying-Ying YangDivision of Clinical Skills Training Center, Taipei Veterans General Hospital, Taipei, Taiwan.
Pin-Hsiang HuangNational Yang-Ming University, Taipei, Taiwan.
Ling-Yu YangDepartment of Medical Education, Taipei Veterans General Hospital, Taipei, Taiwan.
Chia-Chang HuangDivision of Clinical Skills Training Center, Taipei Veterans General Hospital, Taipei, Taiwan.
Chih-Wei LiuDivision of Clinical Skills Training Center, Taipei Veterans General Hospital, Taipei, Taiwan.
Shiau-Shian HuangDivision of Clinical Skills Training Center, Taipei Veterans General Hospital, Taipei, Taiwan.
Chen-Huan ChenNational Yang-Ming University, Taipei, Taiwan.
Fa-Yauh LeeDepartment of Medical Education, Taipei Veterans General Hospital, Taipei, Taiwan.
Shou-Yen KaoDepartment of Medical Education, Taipei Veterans General Hospital, Taipei, Taiwan.
Boaz ShulrufUniversity of New South Wales, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeUndertaking a standard-setting exercise is a common method for setting pass/fail cut scores for high-stakes examinations. The recently introduced equal Z standard-setting method (EZ method) has been found to be a valid and effective alternative for the commonly used Angoff and Hofstee methods and their variants. The current study aims to estimate the minimum number of panelists required for obtaining acceptable and reliable cut scores using the EZ method.

methodsThe primary data were extracted from 31 panelists who used the EZ method for setting cut scores for a 12-station of medical school’s final objective structured clinical examination (OSCE) in Taiwan. For this study, a new data set composed of 1,000 random samples of different panel sizes, ranging from 5 to 25 panelists, was established and analyzed. Analysis of variance was performed to measure the differences in the cut scores set by the sampled groups, across all sizes within each station.

resultsOn average, a panel of 10 experts or more yielded cut scores with confidence more than or equal to 90% and 15 experts yielded cut scores with confidence more than or equal to 95%. No significant differences in cut scores associated with panel size were identified for panels of 5 or more experts.

conclusionThe EZ method was found to be valid and feasible. Less than an hour was required for 12 panelists to assess 12 OSCE stations. Calculating the cut scores required only basic statistical skills.

Indexed as

Clinical CompetenceEducational MeasurementHumansReproducibility of ResultsResearch DesignSchools, MedicalTaiwanComputer simulationEducational measurementStandardsTaiwanUndergraduate medical education

Identifiers

PMID36252990
PMCPMC9764018

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.