Halos and horns in the assessment of undergraduate medical students: A consistency-based approach.

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Abstract

The authors introduce a consistency-based approach to detecting examiner bias.
On comparing intra-class correlation coefficients on transformed data for supervisor continuous performance and report marks (ICC1*) with those for supervisor continuous performance and second marker report marks (ICC2*), a highly significant difference was obtained for both the entire cohort (ICC1* = .72, ICC2* = .30, F = 2.47, p < .0005 (N = 1085)) and the subgroup with high supervisor ratings for continuous performance (ICC1* = .62, ICC2* = .24, F = 1.97, p < .0005 (n = 952)). A strong halo effect was detected and preliminary evidence was obtained for the presence of a strong horn effect for students with
lower scores, thus providing a basis for future research.
Original languageEnglish
Pages (from-to)116
Number of pages128
JournalJournal of Applied Quantative Methods
Volume3
Issue number2
Publication statusUnpublished - 2008

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