Item response tree (IR-tree) models are a class of item response theory (IRT) models that assume that the responses to polytomous items can best be explained by multiple psychological processes (e.g., B<U+00F6>ckenholt, 2012, https://dx.doi.org/10.1037/a0028111). The package 'ItemResponseTrees' allows to fit such IR-tree models in mirt, Mplus, or TAM. The package automates some of the hassle of IR-tree modeling by means of a consistent syntax. This allows new users to quickly adopt this model class, and this allows experienced users to fit many complex models effortlessly.
B<U+00F6>ckenholt, U. (2012). Modeling multiple response processes in judgment and choice. Psychological Methods, 17(4), 665<U+2013>678. https://doi.org/10.1037/a0028111
Plieninger, H. (2020). Developing and applying IR-tree models: Guidelines, caveats, and an extension to multiple groups. Organizational Research Methods. Advance online publication. https://doi.org/10.1177/1094428120911096
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