The measurement of interrater agreement
By J. Fleiss, B. Levin, Myunghee Cho Paik. 2004
1,271 citations recorded by the source corpus.
Subfields: Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/3cf7ef12a7d6211ac4bf6fa0e8aa45028bd8bac2
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In Management Science and Operations Research
Citations in the corpus
- Evaluating the use of search engine development tools in IT education (2010, positive): “The first one considers the κ coefficient (Fleiss et al., 2003) provided by Social Sciences.”
- Towards Sustainable Energy: A Systematic Review of Renewable Energy Sources, Technologies, and Public Opinions (2019, methodology): “The result of data extraction was assessed by using interrater agreement between two researchers using the κ coefficient [37].”
- WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs (2024, background): “Fleiss Kappa [10] scores are 0.55, 0.72, and 0.50 for the three tasks, indicating moderate to substantial agreement.”
- On the Stability of Feature Selection Algorithms (2017, methodology): “…interesting relationship that could be used in future work is that Fleiss’ Kappa has also been linked to the Intra-Class Correlation Coefficient (ICC) in the binary case (Fleiss et al., 2004), so any result that applies to the ICC can also be applied to the proposed stability estimator. q = 2.”
- Statistical validation of image segmentation quality based on a spatial overlap index. (2004, background): “75, as recommended by Fleiss (14).”