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Alina A. von (Hrsg.) Davier

Statistical Models for Test Equating, Scaling, and Linking

Buch

The goal of this book is to emphasize the formal statistical features of the practice of equating, linking, and scaling. The book encourages the view and discusses the quality of the equating results from the statistical perspective (new models, robustness, fit, testing hypotheses, statistical monitoring) as opposed to placing the focus on the policy and the implications, which although very important, represent a different side of the equating practice. The book contributes to establishing equating as a theoretical field, a view that has not been offered often before. The tradition in the practice of equating has been to present the knowled… Mehr

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Produktdetails


  • ISBN: 978-0-387-98137-6
  • EAN: 9780387981376
  • Produktnummer: 7324211
  • Verlag: Springer-Verlag GmbH
  • Sprache: Englisch
  • Erscheinungsjahr: 2010
  • Seitenangabe: 367 S.
  • Masse: H24.4 cm x B16.6 cm x D2.8 cm 720 g
  • Gewicht: 720

Über den Autor


Dr. Alina A. von Davier is a Strategic Advisor and a Director of Special Projects in Research and Development at Educational Testing Service (ETS). During her tenure at ETS, she has led an ETS Research Initiative called Equating and Applied Psychometrics and has directed the Global Psychometric Services Center. The center supports the psychometric work for all ETS international programs, including TOEFL iBT and TOEIC. She is a co-author of a book on the kernel method of test equating, an author of a book on hypotheses testing in regression models, and a guest co-editor for a special issue on population invariance of linking functions for the journal Applied Psychological Measurement.

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