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Running rater agreement — cohen's kappa analysis...
Sent to — interactive charts, statistical results, R code, and AI insights.
Analyze another fileStandard-library analysis: two raters, one categorical judgement per item — how much do they really agree? Map the two judgement columns and get the full confusion matrix as a heatmap, raw percent agreement, the agreement chance alone would produce, Cohen's kappa with its standard error and 95% confidence interval, a test of kappa against chance, linear- and quadratic-weighted kappa when the categories turn out to be ordered (detected from the labels, never assumed), a per-category breakdown of exactly where the raters diverge, and — when skewed marginals are depressing kappa — the kappa paradox explained with your own numbers rather than reported as a bad score.
Interactive heatmap visualization
Interactive table visualization
Interactive bar visualization
Interactive grouped_bar visualization
Interactive table visualization
Plain-English interpretation — what the numbers mean, what's significant, and what to do next.
Check whether two annotators, reviewers, coders, or clinicians assign the same category
See our FAQ for details on pricing, data privacy, and how the analysis works. Every report includes a Methodology section showing the statistical test, assumptions checked, and diagnostics run.
Run any analysis on your own data — validated R analyses, interactive reports, AI insights, and PDF export.
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