An Experimental Investigation of Preknowledge Effects on Speed and Accuracy Using IRTrees

• In Event: Electronic Board Session II

Abstract

IRTree models are IRT models that assume a tree structure for response processes. In the current project, we develop a two-level IRTree model to investigate the effects of preknowledge on speed and accuracy, accounting for speed effects on accuracy, in an experimentally obtained data set.

Authors

• Justin L. Kern, University of Illinois at Urbana-Champaign

• Hahyeong Kim, University of Illinois at Urbana-Champaign