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WholeSoldier Performance Appraisal to Support Mentoring and Personnel Decisions

Author

Listed:
  • Robert A. Dees

    (McCombs School of Business, University of Texas at Austin, Austin, Texas 78712)

  • Scott T. Nestler

    (Naval Postgraduate School, Monterey, California 93943)

  • Robert Kewley

    (Department of Systems Engineering, United States Military Academy, West Point, New York 10996)

Abstract

We present a multiattribute model called WholeSoldier Performance that measures the performance of junior enlisted soldiers in the U.S. Army; currently there is no formal performance appraisal system in place. The application is unique to decision analysis in that we utilize a common constructed scale and single-dimensional value function for all attributes to match the natural framework of model users and based on operability concerns. Additionally, we discuss model validation in both the terms of decision analysis and psychometrics in models that are used for repeated or routine assessments and thus generate significant quantities of data. We highlight visualization of data for use to support mentoring and personnel decisions to better train, assign, retain, promote, and separate current personnel. Last, we address common cultural concerns related to performance appraisals in organizations by offering a method to standardize ratings and hold raters accountable for their responsibility to mentor subordinates as well as identify their performance to the larger organization.

Suggested Citation

  • Robert A. Dees & Scott T. Nestler & Robert Kewley, 2013. "WholeSoldier Performance Appraisal to Support Mentoring and Personnel Decisions," Decision Analysis, INFORMS, vol. 10(1), pages 82-97, March.
    • Handle: RePEc:inm:ordeca:v:10:y:2013:i:1:p:82-97
    DOI: 10.1287/deca.1120.0263
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    References listed on IDEAS

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    Cited by:

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    2. William K. Klimack & Jack M. Kloeber & Kenneth W. Bauer & Mark E. Oxley, 2015. "An Empirical Examination of Multiple Objective Risk Attitudes," Decision Analysis, INFORMS, vol. 12(2), pages 96-103, June.
    3. Rakesh K. Sarin & L. Robin Keller, 2013. "From the Editors: Probability Approximations, Anti-Terrorism Strategy, and Bull's-Eye Display for Performance Feedback," Decision Analysis, INFORMS, vol. 10(1), pages 1-5, March.
    4. Kristina Gavin Bigsby & Jeffrey W. Ohlmann & Kang Zhao, 2017. "Online and Off the Field: Predicting School Choice in College Football Recruiting from Social Media Data," Decision Analysis, INFORMS, vol. 14(4), pages 261-273, December.
    5. James E. Smith & James S. Dyer, 2021. "On (Measurable) Multiattribute Value Functions: An Expository Argument," Decision Analysis, INFORMS, vol. 18(4), pages 247-256, December.

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