Bayesian Gower agreement for categorical data
Abstract In this work I present two methods for measuring agreement in nominal and ordinal data. The measures, which employ Gower-type distances, are simple, intuitive, and easy to compute for any number of units and any number of coders. Influential units and/or coders are easily identified. I cons...
| Published in: | Scientific Reports |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-02-01
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| Online Access: | https://doi.org/10.1038/s41598-025-90873-9 |