Item-response theory (IRT) represents a key advance in measurement theory. Yet, it is largely absent from curricula, textbooks and popular statistical software, and often introduced through a subset of models. This Element, intended for creativity and innovation researchers, researchers-in-training, and anyone interested in how individual creativity might be measured, aims to provide 1) an overview of classical test theory (CTT) and its shortcomings in creativity measurement situations (e.g., fluency scores, consensual assessment technique, etc.); 2) an introduction to IRT and its core concepts, using a broad view of IRT that notably sees CTT models as particular cases of IRT; 3) a practical strategic approach to IRT modeling; 4) example applications of this strategy from creativity research and the associated advantages; and 5) ideas for future work that could advance how IRT could better benefit creativity research, as well as connections with other popular frameworks.
A complete discussion of fundamental and advanced topics in Item Response Theory written by pioneers in the field In Item Response Theory, accomplished psychometricians Darrell Bock and Robert...
Item response theory (IRT) is a latent variable modeling approach used to minimize bias and optimize the measurement power of educational and psychological tests and other psychometric applications...
Drawing on the work of internationally acclaimed experts in the field, this third volume in a three-volume set highlights the contributions item response theory (IRT) has made to item calibration and...