In this digital ITEMS module, Dr. Terry Ackerman and Dr. Qing Xie cover the underlying theory and application of multidimensional item response theory models from a visual perspective.
Module Overview
In this digital ITEMS module, Dr. Terry Ackerman and Dr. Qing Xie cover the underlying theory and application of multidimensional item response theory models from a visual perspective. They begin the module with a brief review of how to interpret evidence of dimensionality of test data. They then examine the basic characteristics of unidimensional IRT models and how these concepts change when the IRT model is expanded to two dimensions. This leads to a more in-depth discussion of how unidimensional item characteristic curves change in two-dimensional models and can be represented as a surface, as a contour plot, or collectively as a set of vectors. They then expanded this to the test level where test characteristic curves become test characteristic surfaces and with accompanying contours. They include additional discussions on how to compute information and represent it in terms of “clamshell”, number, or centroid plots. The module includes audio-narrated slides as well as the usual package of the usual package of curated resources, a glossary, data activities, and quiz questions with diagnostic feedback.


