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.
Original languageEnglish
JournalPsychological Test and Assessment Modeling
Volume60
Issue number1
Pages (from-to)101-139
Number of pages38
ISSN1614-9947
Publication statusPublished - 2018
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    Research areas

  • multiple ratings, many-facet rater model, hierarchical rater model, R packages, parameter estimation, item response models

ID: 887179