An Analysis of Individual Factors Correlational Relationships for Estimating Soldier Marksmanship and Decision-Making Performance Model Data

Abstract

This report is an analysis of a combined multistage research and analysis project of the U.S. Army Combat Capabilities Development Command Analysis Center Human Systems Integration Division. This analysis effort is an examination of correlational relationships between experimental and individual factors variables for Soldier marksmanship and decision-making performance for modeling efforts. Previously supported hypotheses (DEVCOM DAC-TR-2023-061) demonstrated that explained variance is increased to yield more robust data sets with measurably more information about the characteristics of the individual shooter based on cognitive, physiological, psychological, anthropometric, and other measures termed Individual Factors. Data was collected both at Fort Moore, Georgia, with a group of 6 Army Marksmanship Unit elite level shooters in August 2022 and at Aberdeen Proving Ground, Maryland, with a group of 15 Army infantry shooters from Joint Base Lewis-McChord, Washington (1-2 Stryker Brigade Combat Team, 7th Infantry Division) in May 2023. It is posited that data collected and analyzed using the individual factors methodology creates a more accurate and robust outcome for such modeling tools as IMPRINT Pro and associated human-based modeling efforts.

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Document Details

Document Type
Technical Report
Publication Date
Jun 12, 2024
Accession Number
AD1229945

Entities

People

  • David Scribner
  • Frank Morelli
  • Maria Talarico

Tags

Readers

  • Computational Modeling and Simulation
  • Regression Analysis.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.