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Intraclass Correlation — Rater Reliability In Minutes

Upload your data and get a complete intraclass correlation — rater reliability report. Free.

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Free analyses run on up to 10,000 rows. Larger files are randomly sampled to that size — sign up to analyze your full dataset.

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Running intraclass correlation — rater reliability analysis...

Running intraclass correlation — rater reliability analysis...

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What's in the report?

Standard-library analysis: how consistent are your raters, instruments, or repeated measurements? Upload long-format ratings (one row per rating) and get the full intraclass correlation family — ICC(1,1), ICC(2,1), ICC(3,1) and the average-measure versions — computed from ANOVA variance components, with Koo & Li interpretation bands, a systematic rater-bias check, a subject-level agreement plot, and a variance breakdown showing exactly where the disagreement comes from. Built for reliability studies: inter-rater agreement, test-retest, instrument comparison.

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ICC Results — Which One to Report

Interactive table visualization

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Systematic Rater Bias

Interactive bar visualization

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Subject-Level Agreement

Interactive scatter visualization

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Where the Disagreement Comes From

Interactive bar visualization

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AI Insights

Plain-English interpretation — what the numbers mean, what's significant, and what to do next.

The Question This Answers

Measure inter-rater reliability for graders, clinicians, judges, or annotation teams

Questions?

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.

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