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Introduction to Many-Facet Rasch Measurement

Analyzing and Evaluating Rater-Mediated Assessments- 2 nd Revised and Updated Edition


Thomas Eckes

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.
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Preface to the Second Edition


This second edition of my Introduction to Many-Facet Rasch Measurement is an extensive revision of the earlier book. I have been motivated by the many positive reactions from readers, and by learning that researchers and practitioners across wide-ranging fields of application are more than ever ready to address the perennial problems inherent in rater-mediated assessments building on a many-facet Rasch measurement approach.

In the present edition, I have revised and updated each chapter, expanded most chapters, and added a completely new chapter. Here I provide a brief outline of the major changes: Chapter 2 (“Rasch Measurement: The Basics”) discusses more deeply the fundamental, dichotomous Rasch model, elaborating on key terms such as latent variable, item information, and measurement invariance. Chapter 5 (“A Closer Look at the Rater Facet”) has been reorganized, dealing in a separate section with rater severity estimates and their precision; the section on rater fit statistics now includes a detailed discussion of the sample size issue. Further major amendments concern Chapter 6 (“Analyzing the Examinee Facet”), with new sections on examinee measurement results, examinee fit statistics, and criterion-specific score adjustment, and Chapter 7 (“Criteria and Scale Categories”), with new sections on criterion measurement results, manifest and latent rating scale structures, and indicators of rating scale quality. Chapter 8 (“Advanced Many-Facet Rasch Measurement”), probes more deeply into methods of confirmatory interaction analysis, focusing on approaches using dummy facets. The book now closes with Chapter 10 (“Summary and Conclusions”). In this chapter, I recapitulate relevant...

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