Analyzing Training Data for Infantry Tactical Training
Business Case
Helping a research organization make sense of data collected comparing legacy and a newly proposed tactical training for non-commissioned officers (NOCs)
Industry
Services Provided
Data Analysis
Data Capture Tool Development
Military
Academia
Project Summary
Training for high-risk tactical operations presents unique challenges, particularly in ensuring its real-world applicability and effectiveness in the field. Military forces worldwide rely on a blend of classroom instruction and field exercises to enhance troop readiness and operational success. However, integrating emerging technologies like extended reality (XR) offers new possibilities for immersive, scenario-based learning.
These advanced tools can simulate complex environments, and reinforce decision-making under pressure. Understanding the strengths and limitations of both approaches is critical for optimizing training strategies in modern warfare. This is achieved by conducting a comprehensive analysis of the data collected for both types of training.
The Challenge
The research organization overseeing the study on legacy versus newly proposed training was responsible for designing, collecting, and analyzing data. This initial round of testing served as a pilot study, allowing researchers to assess and refine study protocols and data collection methods for future rounds of testing.
The data capture tools focused on two key areas: non commissioned officers’ (NCOs) perceived value of the training and instructors' evaluation of trainees' performance in field exercises, where they demonstrated learned concepts and tactics. Each trainee participated in only one type of training, either legacy or novel.
After data collection, the research institution realized that the complexity of the findings exceeded their analytical capabilities, preventing them from conducting a sound statistical analysis. At this stage, we were brought in to assist with data analysis and review the study’s data capture tools to ensure accuracy and effectiveness
The Approach
Since we were not involved in the study's design or execution, our first step was to familiarize ourselves with its research goals, protocols, and data collection tools. This thorough review provided the necessary foundation for conducting a meaningful data analysis.
Once we had a full understanding, our process was divided into three stages. Stage one focused on organizing the data, performing exploratory analysis, and conducting an in-depth statistical review. Stage two involved refining the data collection tools, including revising questions and measurement scales. Finally, stage three encompassed visualizing the analysis results, developing an improved set of data capture tools, and establishing a data analysis protocol for future testing rounds by the research organization.
The Outcome
The training program combined theoretical concepts with real-world applications, focusing on human memory, cognition, and techniques to enhance crew recall during debriefs. It also addressed investigator biases, providing strategies to mitigate them for more objective assessments. Additionally, a dedicated section on aviation human factors helped investigators contextualize crew behaviors during significant safety events. The program was highly successful, leading to the implementation of a yearly recurrent training initiative to reinforce and refine these critical skills.
Research Guidance
Human In Systems provides comprehensive research design and analytics services. We simplify the research process, guiding clients step-by-step from formulating clear objectives to interpreting actionable insights.
Data Capture Tools Development and Validation
Human In Systems can help you build data capture tools ensuring they are developed to capture accurate data. Our data analysis protocols leverage statistical models to ensure the most accurate metrics are designed for data collection.