Handbook of Inter-Rater Reliability (2nd Edition) Review

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(More customer reviews)I have had two projects in which I was required to assess inter-rater reliability. It is VERY difficult to find detailed and well-written documentation on this subject matter.
Gwet's work is the BEST!! It is well-written so that a person without a degree is statistics can understand. Although it is out of print and not available on Amazon, I suspect that you can contact the publisher (STATAXIS) or author directly to get a copy.
In terms of inter-rater reliability, I found two articles that were helpful. Both were written by Gwet:
Gwet, K. (2002). Computer inter-rater reliability with the SAS system. Statistical Methods for Inter-Rater Reliabiliy (number 3, October).
Gwet, K. (2002). Kappa statistics is not satisfactory for assessing the extent of agreement between raters. Statistical Methods for Inter-Rater Reliabiliy (number 1, April).

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A successful data collection should always aim to uphold the integrity of a research project. In many scientific fields of study, data collection activities require adherence to guidelines and compliance with regulations. The consistency with which various observers or raters follow guidelines, and implement methods is essential for ensuring the interpretability and usefulnessof data. Independent observers must be able to replicate processes and obtain comparable results. This book discusses many proven techniques and their use in evaluating the extent of agreement among observers.
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. 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.
Contents
Acknowledgments .x
Chapter
1. Introduction .11.1 Overview21.2 Response Category .31.3 Different Reliability Types .51.4 Statistical Inference .71.5 Book's Structure .8
2. Kappa Coefficient: A Review .112.1 Overview .122.2 Kappa for 2 Raters and 2 categories .132.3 Kappa for 2 Raters and Multiple Categories .202.4 Kappa for Multiple Raters and Multiple Categories .252.5 Kappa Coefficient & the Paradoxes .302.6 Weighting of the Kappa Coefficient .342.7 Some Alternative Coefficients .372.8 Concluding Remarks .41
3. Kappa for Ordinal & Interval Data .433.1 Overview .443.2 Generalizing Kappa for 2 Raters & 2 Categories .453.3 Generalizing Kappa, Pi, & BP to Interval Data & 2 Raters .483.4 Generalizing Kappa, Pi, & BP to Interval Data & Multiple Raters .503.5 Generalized Weighted Agreement Coefficients .533.6 Concluding Remarks .57
4. The AC1 Coefficients .594.1 Overview ..604.2 Gwet's AC1 & Aickin's Statistics .614.3 Aickin's Theory ..654.4 Gwet's Theory .684.5 Estimating AC1 for 3 Raters or More .734.6 AC2 Coefficient for Ordinal Data .764.7 Weighting the AC1 Coefficient .804.8 Concluding Remarks .82
5. Agreement Coefficients & Statistical Inference .855.1 The problem .865.2 Finite Population Inference in Inter-Rater Reliability Analysis .895.3 Conditional Inference .935.4 Unconditional Inference .1045.5 Concluding Remarks .109
6. Benchmarking Inter-Rater Reliability Coefficients .1116.1 Overview .1126.2 Benchmarking the Agreement Coefficient .1146.3 Proposed Benchmarking Method .1206.4 Critical Value Calculation .1266.5 Concluding Remarks .129
7. Inter-Rater Reliability: Conditional Analysis .1397.1 Overview .1407.2 Conditional Agreement Between 2 Raters in ACM Reliability Studies .1427.3 Conditional Agreement Between 2 Raters in RCM Reliability Studies .1477.4 Concluding Remarks .154
8. Variance Estimation of Conditional Agreement Coefficients .1578.1 Overview .1588.2 Variance Estimation .1598.3 Variance of Reliability Coefficients in ACM Studies .1618.4 Variance of Validity Coefficients in ACM Studies .1678.5 Variance Estimation in RCM Studies1728.6 Limited Literature Review .1808.7 Concluding Remarks .181
Appendix A: Data Tables .183Bibliography .189Author index .193Subject index .195

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