Designing and developing an app to perform Hofstee cut-off calculations

Ken Masters; Nadia Al-Wardy

doi:10.12688/f1000research.53096.2

Designing and developing an app to perform Hofstee cut-off calculations

Ken Masters^*, Nadia Al-Wardy

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

Determining a Hofstee cut-off point in medical education student assessment is problematic: traditional methods can be time-consuming, inaccurate, and inflexible. To counter this, we developed a simple Android app that receives raw, unsorted student assessment data in .csv format, allows for multiple judges' inputs, mean or median inputs, calculates the Hofstee cut-off mathematically, and outputs the results with other guiding information. The app contains a detailed description of its functionality.

Original language	English
Article number	450
Journal	F1000Research
Volume	10
DOIs	https://doi.org/10.12688/f1000research.53096.2
Publication status	Published - 2021

Keywords

Android
Angoff
Assessment
Hofstee
MARS
Standard setting

ASJC Scopus subject areas

Biochemistry, Genetics and Molecular Biology(all)
Immunology and Microbiology(all)
Pharmacology, Toxicology and Pharmaceutics(all)

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10.12688/f1000research.53096.2

Cite this

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abstract = "Determining a Hofstee cut-off point in medical education student assessment is problematic: traditional methods can be time-consuming, inaccurate, and inflexible. To counter this, we developed a simple Android app that receives raw, unsorted student assessment data in .csv format, allows for multiple judges' inputs, mean or median inputs, calculates the Hofstee cut-off mathematically, and outputs the results with other guiding information. The app contains a detailed description of its functionality.",

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KW - Standard setting

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Designing and developing an app to perform Hofstee cut-off calculations

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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