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The first goal is to explore the difference between fairness and justice in language assessment. The authors distinguish internal and external dimensions of the equitable and just treatment of individuals taking language tests which are used as gatekeeping devices to determine access to education and employment, immigrant status, citizenship, and other rights. The second goal is to show how the extent of test fairness can be demonstrated and improved using the tools of psychometrics, in particular the models collectively known as Rasch measurement.

Using Rasch analysis models to explore and identify sources of unfairness, the authors make a compelling case for fairness in the design and implementation of language assessment instruments and for justice in the interpretation and use of test results.

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You are reading a preview. Ricardo Cozer Martins. Andrea Pereira. Lucas Lopes. Mais de Claudia Andrea Salazar Dastres. Claudia Andrea Salazar Dastres. Luccas Fukushima. Muhib Faisal. Heppy Dwi Yutanto. Jorge Eliecer Roa Uribe. Hesham Yasein. Clarisse De Guzman. Behnaz Motamed.