Simulation as Method, Pedagogy, and Epistemology: A Framework for Monte Carlo Simulation Methods

Session Type: Symposium

Abstract

This symposium showcases a simulation-based course for teaching quantitative methods, grounded in a novel 6C pedagogical framework: Conceptualize, Comprehend, Conduct, Calculate, Chart, and Communicate. Presenters include the course designers and instructors, who will share three perspectives. The first paper explores the course structure, cross-disciplinary design, and a simulation hackathon. The second focuses on teaching missing data methods through Monte Carlo simulation. The third introduces a theoretical model positioning simulation as central to methodological reasoning and reproducible science. This session advances simulation pedagogy by linking practical instruction, applied statistics, and epistemological reflection. Presentations (45 minutes) will be followed by a 45-minute open discussion with attendees.

Sub Unit

• Division D - Measurement and Research Methodologies / Division D - Section 1: Measurement, Psychometrics, and Assessment

Chair

• Marcus A. Harris, University of Connecticut

Papers

• Designing a Simulation Course in the Quantitative Sciences: Lessons Learned - Zachary K. Collier, University of Connecticut

• Teaching Missing Data Methods through Monte Carlo Simulation - Kirsten Reyna, University of Connecticut

• From 6Cs to Simulation Studies: A Framework for Teaching Simulation as Methodological Reasoning - Marcus A. Harris, University of Connecticut

Session Organizer

• Marcus A. Harris, University of Connecticut

Discussant

• Eric Loken, University of Connecticut