2005/09/01 by Richard Craggs, Mary McGee Wood · 1 citation
Decision Sciences · Health Professions · Social Sciences · #Delphi Technique in Research #Interpreting and Communication in Healthcare #Reliability and Agreement in Measurement
paper · doi:10.1162/089120105774321109
openalex publication_date 2005/09/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/27
Agreement statistics play an important role in the evaluation of coding schemes for discourse and dialogue. Unfortunately there is a lack of understanding regarding appropriate agreement measures and how their results should be interpreted. In this article we describe the role of agreement measures and argue that only chance-corrected measures that assume a common distribution of labels for all coders are suitable for measuring agreement in reliability studies. We then provide recommendations for how reliability should be inferred from the results of agreement statistics.