Introduction to Many-Facet Rasch Measurement: Analyzing and Evaluating Rater-Mediated Assessments. 2nd Revised and Updated Edition: 22 (Language Testing and Evaluation)

Eckes, Thomas

ISBN 10: 3631656157 / ISBN 13: 9783631656150

Published by Peter Lang AG, 2015

About this Item

Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.

Seller Inventory # wbs3974790885

Bibliographic Details

• Title: Introduction to Many-Facet Rasch Measurement: Analyzing and Evaluating Rater-Mediated Assessments. 2nd Revised and Updated Edition: 22 (Language Testing and Evaluation)
• Publisher: Peter Lang AG
• Publication Date: 2015
• Language: English
• ISBN 10: 3631656157
• ISBN 13: 9783631656150
• Binding: Hardcover
• Edition: 2nd Edition
• Condition: Like New
• Weight: 408.2 grams

About this title

Synopsis

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.

About the Author

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.