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Effect of Trainee Performance Data on Standard-Setting Judgments Using the Mastery Angoff Method.

Stuart B Prenner, William C McGaghie, Sarah Chuzi

    Journal of Graduate Medical Education
    |June 28, 2018
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    Setting defensible standards in mastery learning is crucial. This study found that providing judges with trainee performance data did not significantly alter the minimum passing standard (MPS) set using the Mastery Angoff method.

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    Area of Science:

    • Medical Education
    • Health Professions Education
    • Assessment and Evaluation

    Background:

    • Mastery learning requires learners to achieve high competence.
    • Setting defensible standards is essential for accurate assessment in mastery learning.
    • The Mastery Angoff method is a recent approach for setting minimum passing standards (MPS).

    Purpose of the Study:

    • To investigate if baseline trainee performance data influences faculty judges' decisions when setting an MPS.
    • To determine the impact of performance data on the Mastery Angoff method for a written examination.

    Main Methods:

    • A mastery learning curriculum was developed for internal medicine residents and cardiology fellows on telemetry monitoring interpretation.
    • A 35-item written examination was used, requiring learners to meet or exceed an MPS.
    • Judges initially set the MPS using the Mastery Angoff method without performance data, then reevaluated it after receiving pilot testing data.

    Main Results:

    • Twelve judges participated in the standard-setting process.
    • The initial MPS was 86.2%, and the MPS set after receiving performance data was 86.9%.
    • There was no statistically significant difference between the MPS set with and without performance data (P = .23).

    Conclusions:

    • Knowledge of trainee performance data did not affect the minimum passing standard determined by the Mastery Angoff procedure.
    • The Mastery Angoff method appears robust to the introduction of baseline performance data in this context.