A Review of Test Equating Methods with a Special Focus on IRT-Based Approaches

Valentina Sansivieri (), Marie Wiberg () and Mariagiulia Matteucci
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Valentina Sansivieri: Alma Mater Studiorum - Università di Bologna - Italy
Marie Wiberg: Umeå University - Sweden

Statistica, 2017, vol. 77, issue 4, 329-352

Abstract: 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.

Keywords: Test equating; IRT test equating; Item response theory (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:bot:rivsta:v:77:y:2017:i:4:p:329-352

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