Is the assumption of equal distances between global assessment categories used in borderline regression valid?

ABSTRACT:

Background

Standard setting for clinical examinations typically uses the borderline regression method to set the pass mark. An assumption made in using this method is that there are equal intervals between global ratings (GR) (e.g. Fail, Borderline Pass, Clear Pass, Good and Excellent). However, this assumption has never been tested in the medical literature to the best of our knowledge. We examine if the assumption of equal intervals between GR is met, and the potential implications for student outcomes.

Methods

Clinical finals examiners were recruited across two institutions to place the typical 'Borderline Pass', 'Clear Pass' and 'Good' candidate on a continuous slider scale between a typical 'Fail' candidate at point 0 and a typical 'Excellent' candidate at point 1. Resu

SUBMITTER: McGown PJ 

PROVIDER: S-EPMC9536020 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature