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Quantitative analysis of a licensing examination using adverse impact.

J D Chesney, R J Engel

    Evaluation & the Health Professions
    |February 10, 1983
    PubMed
    Summary

    Licensure may create discriminatory barriers for minorities. A Michigan nursing exam study used adverse impact analysis to assess fairness, with implications for other health professions.

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    Area of Science:

    • Health professions regulation
    • Health equity
    • Quantitative analysis

    Background:

    • Professional licensure aims to ensure competence but may inadvertently create barriers to entry.
    • Concerns exist regarding potential discriminatory effects of licensure requirements on minority groups.
    • Adverse impact analysis is a legal tool to evaluate selection procedures for fairness.

    Purpose of the Study:

    • To investigate whether the nursing licensure examination in Michigan exhibits adverse impact.
    • To demonstrate the application of adverse impact analysis in assessing professional licensure fairness.
    • To explore the broader implications of adverse impact findings for health professions.

    Main Methods:

    • A quantitative study was conducted using data from the Michigan nursing licensure examination.
    • Adverse impact analysis was employed to assess the examination's selection procedure.
    • Statistical methods were used to identify disparities in examination outcomes.

    Main Results:

    • The study identified evidence of adverse impact in the nursing licensure examination.
    • Specific outcomes indicated potential disparities affecting minority candidates.
    • The findings highlight the utility of adverse impact analysis in regulatory contexts.

    Conclusions:

    • The nursing licensure examination in Michigan may function as a discriminatory barrier.
    • Adverse impact analysis is a valuable tool for evaluating fairness in professional licensure.
    • The methodology and findings have significant implications for other health professions' licensure processes.

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