The interpretation of kappa values can vary, but generally accepted ranges are: - **What are the Limitations of Kappa Statistics? While kappa is a valuable tool, it has limitations: - Prevalence Effect: Kappa can be influenced by the prevalence of the observed categories. High or low prevalence can affect the value of kappa, making it lower even if the agreement is high. - Sample Size: Small sample sizes can lead to less stable kappa estimates. - Imbalanced Data: If the categories are not balanced, kappa can provide misleading results. Understanding these limitations is essential for accurate interpretation.
