Introduction to Many-Facet Rasch Measurement

Analyzing and Evaluating Rater-Mediated Assessments

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Description
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.
Pages
242 pages
Collection
n.c
Parution
2023-05-16
Marque
Peter Lang GmbH, Internationaler Verlag der Wissenschaften
EAN papier
9783631903049
EAN PDF
9783631903056

Informations sur l'ebook
Nombre pages copiables
48
Nombre pages imprimables
48
Taille du fichier
10844 Ko
Prix
60,77 €
EAN EPUB
9783631903063

Informations sur l'ebook
Nombre pages copiables
48
Nombre pages imprimables
48
Taille du fichier
11377 Ko
Prix
60,77 €

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