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extended · article · 2007

CML based estimation of extended Rasch models with the eRm package in R

Patrick Mair; Reinhold Hatzinger; Benjamin D. Wright

This paper presents an open source tool for computing extended Rasch models. It is realized in R <br/>(R Development Core Team, 2006) and available as package eRm. In addition to ordinary Rasch models <br/>extended models such as linear logistic test models, (linear) rating scale models and (linear) partial <br/>credit models can be estimated. A striking feature of this package is the implementation of conditional <br/>maximum likelihood estimation techniques which relate directly to Rasch's original concept of specific <br/>objectivity. The mathematical and epistemological benefits of this estimation method are discussed. <br/>Moreover, the capabilities of the eRm routine with respect to structural item response designs are demonstrated.

Rating Scale ModelSTEM Education
APA citation

Patrick Mair, Reinhold Hatzinger, & Benjamin D. Wright (2007). CML based estimation of extended Rasch models with the eRm package in R. WU Research. https://research.wu.ac.at/de/publications/cac4afcc-3911-4515-93d1-6607748634fb