title: A generalized item response tree model for psychological assessments.
abstract: A new item response theory (IRT) model with a tree structure has been introduced for modeling item response processes with a tree structure. In this paper, we present a generalized item response tree model with a flexible parametric form, dimensionality, and choice of covariates. The utilities of the model are demonstrated with two applications in psychological assessments for investigating Likert scale item responses and for modeling omitted item responses. The proposed model is estimated with the freely available R package flirt (Jeon et al., 2014b).
authors.affiliation: Department of Psychology, Ohio State University, 1827 Neil Avenue, Columbus, OH, 43210, USA. jeon.117@osu.edu.
authors.forename: Minjeong
authors.initials: M
authors.lastname: Jeon
authors.affiliation: Department of Psychology, Ohio State University, 1827 Neil Avenue, Columbus, OH, 43210, USA.
authors.forename: Paul
authors.initials: P
authors.lastname: De Boeck
mesh_terms: D000465:Algorithms; D006801:Humans; D016014:Linear Models; D008960:Models, Psychological; D015233:Models, Statistical; D012984:Software
keywords: IRT; IRTree; Item response process; Likert scale; Omitted responses; Tree; flirt