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

Thomas Eckes

ISBN 10: 3631613504 / ISBN 13: 9783631613504

Published by Peter Lang Gmbh, Internationaler Verlag Der Wissenschaften June 2011, 2011

About this Item

Light reader wear and rubbing to the edges, corners, covers, and pages. The book is in great condition! Stock photos may not look exactly like the book.

Seller Inventory # 1195372

Bibliographic Details

• Title: Introduction to Many-Facet Rasch Measurement: Analyzing and Evaluating Rater-Mediated Assessments
• Publisher: Peter Lang Gmbh, Internationaler Verlag Der Wissenschaften June 2011
• Publication Date: 2011
• Language: English
• ISBN 10: 3631613504
• ISBN 13: 9783631613504
• Binding: Hardcover
• Condition: Very Good - Cash
• Seller catalogs:
  • Education

About this title

Synopsis

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.

About the Author

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.