The present paper gives a general introduction to the linear logistic test model (Fischer, 1973), an extension of the Rasch model with linear constraints on item parameters, along with eRm (an R package to estimate different types of Rasch models; Mair, Hatzinger, & Mair, 2014) functions to estimate the model and interpret its parameters. The applications of the model in test validation, hypothesis testing, cross-cultural studies of test bias, rule-based item generation, and investigating construct irrelevant factors which contribute to item difficulty are explained. The model is applied to an English as a foreign language reading comprehension test and the results are discussed. Accessed 7,390 times on https://pareonline.net from January 01, 2014 to December 31, 2019. For downloads from January 1, 2020 forward, please click on the PlumX Metrics link to the right.
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Baghaei, Purya and Kubinger, Klaus D.
"Linear Logistic Test Modeling with R,"
Practical Assessment, Research, and Evaluation: Vol. 20, Article 1.
Available at: https://scholarworks.umass.edu/pare/vol20/iss1/1