出版社：Dep. of Statistical Sciences "Paolo Fortunati", Università di Bologna
摘要：The overall aim of this work is to review test equating methods with a particularly detailed description of item response theory (IRT) equating. Test score equating is used to compare different test scores from different test forms. Several methods have been developed to conduct equating: traditional methods, kernel method, and IRT equating. We synthetically explain the traditional equating methods which include mean equating, linear equating and equipercentile equating and which have been developed under all the possible data collection designs. We also briefly describe the idea of the kernel method: this is a unified approach to test equating for which recent interesting developments have been proposed. Then we focus on IRT equating, by describing old and new methods: in particular, we define IRT observed-score kernel equating and IRT observed-score equating using covariates, as well as other recent proposals in this field. We conclude the review by describing strengths and weaknesses of the different discussed approaches and by identifying future research topics.
