Introduction to Many-Facet Rasch Measurement | Analyzing and Evaluating Rater-Mediated Assessments. 2nd Revised and Updated Edition

Thomas Eckes

ISBN 10: 3631656157 / ISBN 13: 9783631656150

Editore: Peter Lang, 2015

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Introduction to Many-Facet Rasch Measurement | Analyzing and Evaluating Rater-Mediated Assessments. 2nd Revised and Updated Edition | Thomas Eckes | Buch | Gebunden | Englisch | 2015 | Peter Lang | EAN 9783631656150 | Verantwortliche Person für die EU: Lang, Peter GmbH, Gontardstr. 11, 10178 Berlin, r[dot]boehm-korff[at]peterlang[dot]com | Anbieter: preigu Print on Demand.

Codice articolo 104007050

Dati bibliografici

• Titolo: Introduction to Many-Facet Rasch Measurement | Analyzing and Evaluating Rater-Mediated Assessments. 2nd Revised and Updated Edition
• Editore: Peter Lang
• Data di pubblicazione: 2015
• Lingua: Inglese
• ISBN 10: 3631656157
• ISBN 13: 9783631656150
• Rilegatura: Buch
• Edizione: seconda edizione
• Condizione: Neu
• Cataloghi dei venditori:
  • Bücher

Descrizione articolo

Riassunto

Since the early days of performance assessment, human ratings have been subject to various forms of error and bias. Expert raters often come up with different ratings for the very same performance and it seems that assessment outcomes largely depend upon which raters happen to assign the rating. This book provides an introduction to many-facet Rasch measurement (MFRM), a psychometric approach that establishes a coherent framework for drawing reliable, valid, and fair inferences from rater-mediated assessments, thus answering the problem of fallible human ratings. Revised and updated throughout, the Second Edition includes a stronger focus on the Facets computer program, emphasizing the pivotal role that MFRM plays for validating the interpretations and uses of assessment outcomes.

Informazioni sull?autore

Thomas Eckes is Head of the Psychometrics and Research Methodology Department, TestDaF Institute, University of Bochum, Germany. His research interests include language testing, multivariate data analysis, large-scale assessments, psychometric modeling of language competencies, and web-based testing.