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Designed experiments for classification problems.

G W DOwns, D M Rocke

    The Journal of the Operational Research Society
    |October 8, 1983
    PubMed
    Summary
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    This study introduces a novel experimental approach for evaluating classification in human services, using Evolutionary Operation (EVOP) and constrained mixture designs for restricted variation settings. This method addresses challenges in human subject experimentation and classification problems, demonstrated with prison inmate security level assignments.

    Area of Science:

    • Social Sciences
    • Organizational Psychology
    • Criminology

    Background:

    • Evaluating classification procedures in human service organizations presents unique challenges, particularly concerning human subjects and the nature of classification tasks.
    • Existing experimental designs often face objections when applied to human populations, necessitating adaptive and robust methodologies.
    • The classification problem requires specific experimental designs that can accommodate inherent variability and constraints.

    Purpose of the Study:

    • To propose a new, experimentally-based approach for evaluating classification procedures within human service organizations.
    • To introduce methods of design and analysis that overcome common objections to human subject experimentation in this context.
    • To demonstrate the practical application of the proposed approach using the example of assigning prison inmates to security levels.

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    Main Methods:

    • Utilizes Evolutionary Operation (EVOP), a methodology adapted from industrial settings, to enable experimental design under restricted variation.
    • Employs constrained mixture designs as the appropriate class of experimental designs, contrasting them with traditional factorial designs.
    • Applies these methods to the classification problem of assigning prison inmates to minimum and maximum security levels.

    Main Results:

    • The proposed approach successfully adapts experimental design principles for human service contexts with inherent variations.
    • EVOP and constrained mixture designs prove effective in situations requiring controlled experimental conditions.
    • The prison inmate classification example illustrates the practical feasibility and implications of the new evaluation method.

    Conclusions:

    • A novel and practical experimental framework for evaluating classification procedures in human services has been established.
    • The integration of EVOP and constrained mixture designs offers a robust solution for experimental research involving human subjects and classification.
    • This approach enhances the rigor and applicability of experimental evaluations in complex human service settings.