Estimating a Comprehensive Spatial Ability Using CDM-CHC Models (Poster 17)

• In Event: Division D Graduate Student Committee In-Progress Research Gala Poster Session

Abstract

Spatial ability is crucial for success in spatial tasks, particularly in STEM fields. This study estimated a comprehensive/integrated spatial ability using a mixed test of Mental Rotation, Object Assembly, and Surface Development tasks. Cognitive Diagnosis Models (CDMs) analyzed mastery of spatial attributes based on Q-matrices from three frameworks (Hegarty, Uttal, Lakin). Forty-two children (ages 6–14) participated, and higher-order LLM was utilized. While all models showed high accuracy (≥ 0.965), the Lakin framework performed consistently with moderate fit. Findings emphasize CDMs' utility for multidimensional assessment and highlight refining item design and Q-matrices for improved diagnostic precision.

Authors

• Jujia Li, University of Alabama

• Andrew Krist, University of Alabama

• Joni M. Lakin, University of Alabama

• Kaiwen Man, University of Alabama

• Mehdi Rajeb, University of Alabama