Author: Kilem Li Gwet
Edition:
Publisher: Advanced Analytics, LLC
Binding: Paperback
ISBN: 0970806248
Handbook of Inter-Rater Reliability (Second Edition)
Note to readers: This book has a more complete third edition already available on Amazon. Medical books Handbook of Inter-Rater Reliability . om.
This book presents various methods for calculating the extent of agreement among raters for different types of ratings. Some of the methods initially developed for nominal-scale ratings only, are extended in this book to ordinal and interval scales as well. To ensure an adequate level of sophistication in the treatment of this topic, the precision aspects associated with the agreement coefficients are treated Medical books Handbook Of Inter-rater Reliability (3rd Edition): The. Store Search search Title, ISBN and Author Handbook of Inter-Rater Reliability (3rd Edition): The Definitive Guide to Measuring the Extent of Agreement Among Multiple Raters. by Kilem Li Gwet Estimated delivery 3-12 business days Format Paperback Condition Brand New By writing the third edition of the Handbook of Inter-Rater Reliability, my primary goal was to allow researchers and students in all fields of research to be able to access in one place, detailed, well-organized, and readable mater
Download link for Handbook Of Inter-Rater Reliability (Second Edition) Ebook
Store Search search Title, ISBN and Author Handbook of Inter-Rater Reliability (3rd Edition): The Definitive Guide to Measuring the Extent of Agreement Among Multiple Raters. by Kilem Li Gwet Estimated delivery 3-12 business days Format Paperback Condition Brand New By writing the third edition of the Handbook of Inter-Rater Reliability, my primary goal was to allow researchers and students in all fields of research to be able to access in one place, detailed, well-organized, and readable mater
Handbook of Inter-Rater Reliability (3rd Edition)
Handbook of Inter-Rater Reliability : The Definitive Guide to Measuring the Extent of Agreement among Multiple Raters, ISBN-13: 9780970806246, ISBN-10: 0970806248
Handbook of Inter-Rater Reliability (3rd Edition): The Definitive Guide to Measuring the Extent of Agreement Among Multiple Raters. by Gwet, Kilem Li [Paperback]
Medical Book Handbook of Inter-Rater Reliability
om.
This book presents various methods for calculating the extent of agreement among raters for different types of ratings. Some of the methods initially developed for nominal-scale ratings only, are extended in this book to ordinal and interval scales as well. To ensure an adequate level of sophistication in the treatment of this topic, the precision aspects associated with the agreement coefficients are treated. New methods begin with the simple scenario of 2 raters and 2 response categories before being extended to the more complex situation of multiple raters, and multiple-level nominal, ordinal and interval scales. Cohen's Kappa coefficient is one of the most widely-used agreement coefficients among researchers, despite its tendency to yield controversial results. Kappa and its various versions have raised concerns among practitioners and showed limitations, which are well-documented in the literature. This book discusses numerous alternatives, and proposes a new framework of analysis that allows researchers to gain further insight into the core issues related to the interpretation of the coefficients' magnitude, in addition to providing a common framework for evaluating the merit of different approaches. The author explains in a clear and intuitive fashion the motivations and assumptions underlying each technique discussed in the book. He demonstrates the benefits of using basic level statistical thinking in the design and analysis of inter-rater reliability experiments. The interpretation and limitations of various techniques are extensively discussed. From optimizing the design of the inter-rater reliability study to validating the computed agreement coefficients, the author's step-by-step approach is practical, easy to understand and will put all practitioners on the path to achieving their data quality objectives.
