Introduction to Many-Facet Rasch Measurement

Thomas Eckes

ISBN 10: 3631903049 / ISBN 13: 9783631903049

Editore: Peter Lang AG, CH, 2023

Riguardo questo articolo

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.

Codice articolo LU-9783631903049

Dati bibliografici

• Titolo: Introduction to Many-Facet Rasch Measurement
• Editore: Peter Lang AG, CH
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 3631903049
• ISBN 13: 9783631903049
• Rilegatura: Hardback
• Edizione: New.
• Condizione: New
• Dimensioni: 14,81 L x 1,42 A x 21,01 P centimetri 14,81 centimetri di larghezza per 1,42 centimetri di altezza per 21,01 centimetri di profondità
• Peso: 387 grammi

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.