Modeling Answer Change Behavior: An Application of a Generalized Item Response Tree Model

© 2017, © 2017 AERA. We present a novel application of a generalized item response tree model to investigate test takers’ answer change behavior. The model allows us to simultaneously model the observed patterns of the initial and final responses after an answer change as a function of a set of latent traits and item parameters. The proposed application is illustrated with large-scale mathematics test items. We also describe how the estimated results can be used to study the benefits of answer change and to further detect potential academic cheating.

Jaar van publicatie:2017

BOF-keylabel:ja

IOF-keylabel:ja

BOF-publication weight:1

CSS-citation score:2

Auteurs:International

Authors from:Higher Education