• Alexander Robitzsch
  • Jan Steinfeld
Item response theory (IRT) models for human ratings aim to represent item and rater characteristics by item and rater parameters. First, an overview of different IRT models (many-facet rater models, covariance structure models, and hierarchical rater models) is presented. Next, different estimation methods and their implementation in R software are discussed. Furthermore, suggestions on how to choose an appropriate rater model are made. Finally, the application of several rater models in R is illustrated by a sample dataset.
OriginalspracheEnglisch
ZeitschriftPsychological Test and Assessment Modeling
Jahrgang60
Ausgabenummer1
Seiten (von - bis)101-139
Seitenumfang38
ISSN1614-9947
PublikationsstatusVeröffentlicht - 2018

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ID: 887179