Introduction to Many-Facet Rasch Measurement | Analyzing and Evaluating Rater-Mediated Assessments

Thomas Eckes

ISBN 10: 3631903049 / ISBN 13: 9783631903049

Editore: Peter Lang, 2023

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Introduction to Many-Facet Rasch Measurement | Analyzing and Evaluating Rater-Mediated Assessments | Thomas Eckes | Buch | Englisch | 2023 | Peter Lang | EAN 9783631903049 | 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 126887409

Dati bibliografici

• Titolo: Introduction to Many-Facet Rasch Measurement | Analyzing and Evaluating Rater-Mediated Assessments
• Editore: Peter Lang
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 3631903049
• ISBN 13: 9783631903049
• Rilegatura: Buch
• Condizione: Neu
• Cataloghi dei venditori:
  • Bücher

Descrizione articolo

Riassunto

Human ratings are subject to various forms of error and bias. Since the early days of performance assessment, this problem has been sizeable and persistent. For example, expert raters evaluating the quality of an essay, an oral communication, or a work sample, often come up with different ratings for the very same performance. In cases like this, assessment outcomes largely depend upon which raters happen to provide the rating, posing a threat to the validity and fairness of the assessment. This book provides an introduction to a psychometric approach that establishes a coherent framework for drawing reliable, valid, and fair inferences from rater-mediated assessments, thus answering the problem of inevitably fallible human ratings: many-facet Rasch measurement (MFRM). Throughout the book, sample data taken from a writing performance assessment are used to illustrate key concepts, theoretical foundations, and analytic procedures, stimulating the readers to adopt the MFRM approach in their current or future professional context.

Informazioni sull?autore

Thomas Eckes is Head of the Psychometrics and Research Methodology Department at the TestDaF Institute, University of Bochum. He has taught and published widely in the field of language testing, educational and psychological measurement, and multivariate data analysis. His research interests include rater effects in large-scale assessments, standard setting, and web-based testing.