The
third edition of this book earned widespread acclaim from researchers across diverse fields for its comprehensive coverage of inter-rater reliability concepts and techniques. Its adoption also prompted valuable feedback from readers, who needed deeper insights into underexplored topics. For instance, researchers frequently sought guidance on designing inter-rater reliability studies, particularly determining the optimal number of raters and subjects. The literature has historically devoted limited attention to intra-rater reliability, especially for quantitative measurements.
This book's
fourth edition addresses these gaps while further refining the material covered in previous editions to enhance usability and depth.
Key Features of the Fourth Edition:
- New Content: Expanded discussions on sample size calculations for chance-corrected agreement coefficients and intraclass correlation coefficients, enabling researchers to determine the optimal number of raters, subjects, and trials per subject.
- Rewritten Benchmarking Chapter: The chapter on "Benchmarking Inter-Rater Reliability Coefficients" has been entirely revamped to provide clearer and more comprehensive insights.
- Expanded Introductory Chapters: The two introductory chapters now delve into various definitions and perspectives on inter-rater reliability, offering a broader conceptual foundation for readers.
- Improved Readability: All chapters have undergone extensive revisions to ensure clarity, coherence, and accessibility.
Researchers and practitioners will find the
fourth edition an indispensable resource for designing and analyzing inter-rater reliability studies with confidence and precision.
Dr K. Gwet is a statistical consultant, researcher and instructor with over 15 years of consulting experience in various industries. He has several publications in the field of inter-rater and intra-rater reliability assessment, in peer-reviewed journals.