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

Patrick Mair, Reinhold Hatzinger

Publikation: Wissenschaftliche FachzeitschriftOriginalbeitrag in FachzeitschriftForschungBegutachtung

Abstract

This paper presents an open source tool for computing extended Rasch models. It is realized in R
(R Development Core Team, 2006) and available as package eRm. In addition to ordinary Rasch models
extended models such as linear logistic test models, (linear) rating scale models and (linear) partial
credit models can be estimated. A striking feature of this package is the implementation of conditional
maximum likelihood estimation techniques which relate directly to Rasch's original concept of specific
objectivity. The mathematical and epistemological benefits of this estimation method are discussed.
Moreover, the capabilities of the eRm routine with respect to structural item response designs are demonstrated.
OriginalspracheEnglisch
Seiten (von - bis)26 - 43
FachzeitschriftPsychology Science
Jahrgang49
Ausgabenummer1
PublikationsstatusVeröffentlicht - 1 Nov. 2007

Zitat