Mental Rotation Performance: Contribution of item features to Difficulties and Functional Adaptation

• In Event: Cognitive Reasoning and Complexity

Abstract

Linear logistic test models (LLTM) are used to explore attributes of test items that contribute to difficulty. Using these attributes, researchers can explore sources of cognitive complexity. This paper goes further to explore attribute invariance for sub-groups, extending our understanding of LLTM for exploring test fairness.

Authors

• Mehdi Rajeb, University of Alabama

• Andrew Krist, The University of Alabama

• Qingzhou Shi, Northwestern University

• Stefanie A. Wind, UNIVERSITY OF ALABAMA

• Joni Lakin, University of Alabama