Surface Warfare Officer School 360-Degree Assessment Tool: Evaluation of the Current Program for Surface Warfare Officers

Abstract

The Surface Warfare Officer School Command's (SWOSCOM) current 360-degree feedback assessment was constructed using a civilian commercial off-the-shelf product and has not undergone a rigorous review since its creation in 2008. Some of the current assessments focus areas are not germane to the Surface Warfare Community and have been found to be limited in fully measuring a Naval Surface Warfare Officer's (SWO) leadership through this and previous studies. This thesis examines potential modifications to significantly improve the assessment to better measure and support the SWO community. The research identified the relevance of existing questions to provide feedback on skills and behaviors that affect leadership performance. Using data collected from SWOSCOM consisting of 100 individual redacted feedback reports, an analysis of variance to determine distinctiveness in perspectives of self, bosses, peers, and subordinates regarding early career SWOs was conducted. Machine learning techniques were applied to identify skills that might be more effective at providing valuable feedback to young officers. This research provides SWOSCOM with specific areas to target and revise in the current assessment by removing or modifying questions that contribute relatively little to the overall assessment and replacing them with questions that are more tailored to the skills and abilities necessary for a SWO and the community to develop a competitive advantage.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2023
Accession Number
AD1213015

Entities

People

  • Jacob W. Shafer

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Engineered Resilient Systems
  • Human Systems

DTIC Thesaurus Topics

  • Analysis Of Variance
  • California
  • Data Analysis
  • Data Mining
  • Data Science
  • Data Sets
  • Descriptive Analytics
  • Dimensionality Reduction
  • Factor Analysis
  • Information Science
  • Knowledge Management
  • Machine Learning
  • Management Personnel
  • Operations Research
  • Regression Analysis
  • Statistical Analysis
  • Statistics
  • Supervised Machine Learning
  • Test And Evaluation
  • Test Sets
  • Warfare

Readers

  • Military Leadership and Professional Education.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy