Book review: statistical models for test equating, scaling, and linking created by Jorge González B

Equating is an important step in the process of collecting, analyzing, and reporting test scores in any program of assessment. It constitutes a family of statistical models and methods used to permit the comparability of scores across different test forms. The edited volume, Statistical Models for Test Equating, Scaling, and Linking, reflects the need for more research to enhance the quality of test results, by using advanced statistical methods for equating, given that many of the decisions made by administration and policy makers in education are based on examinees’ scores. Starting with the title, the book tries to emphasize formal statistical aspects that underlie test equating. Moreover, the book invites readers to explore existing statistical models and techniques that are not traditionally considered within the equating framework.