Contents: Conceptual-psychometric framework for rater-mediated assessments – Principles of many-facet Rasch measurement – Measurement of rater severity/leniency – Correcting examinee proficiency measures for rater severity differences – Examining rater consistency and rating scale effectiveness – Increasing validity and fairness of performance assessments.
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.
«[…] this book covers a diverse array of both basic and important
topics related to Rasch measurement, providing insights into
complexities and intricacies involved in rater-mediated performance
assessment. This books is highly recommended to researchers,
practitioners, and other stakeholders who are interested in Rasch
measurement, but only have a limited understanding of Rasch
modeling. The book is also suitable for advanced learners and
applied researchers who could consult advanced modeling techniques
discussed in Chapters 8 and 9.»
(Chao Han, Measurement: Interdisciplinary Research and
Perspectives, 2019, Vol. 17, N° 2)
«The strengths of this book are numerous. Discussing the MFRM
approach in the context of language testing can make the concept of
facets (raters, students, etc.) and their associated issues (e.g.,
rater variability) appealing to educators. The book discusses the
limitations of standard approaches in reducing between-rater
variation and shows how the MFRM approach can be used to regulate
error proneness of human ratings that is inherent in such ratings.
The author’s broad perspective on psychometric argument of fair
scores can be used with an eye toward equity in human ratings of
students’ performance. The quality of the examples in the book is
impressive. It provides an understanding of the potential in using
the MFRM approach in the broader fields of education, human health
sciences, and many other fields»
(Daeryong Seo & Husein Taherbhai, Applied Psychological
Measurement, 2013, 37(2))
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