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In addition to covering statistical methods, most of the existing books on equating also focus on the practice of equating, the implications of test development and test use for equating practice and policies, and the daily equating challenges that need to be solved. In some sense, the scope of this book is narrower than of other existing books: to view the equating and linking process as a statistical estimation task. The goal of this volume is to propose new equating models, to take theoretical statistical tools and apply them to the practice of equating in novel and useful ways, and to tie explicitly the assumptions made by. | Statistics for Social and Behavioral Sciences Alina A. von Davier Editor Statistical Models for Test Equating Scaling and Linking Springer Statistics for Social and Behavioral Sciences Advisors S.E. Fienberg W.J. van der Linden For other titles published in this series go to http www.springer.com series .
