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Inter-Rater Reliability In Minutes

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Running intraclass correlation coefficient (icc) reliability analysis analysis...

Running intraclass correlation coefficient (icc) reliability analysis analysis...

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How it works

Measures inter-rater reliability — how much raters agree when scoring the same subjects. ICC values near 1 mean excellent agreement; below 0.5 is poor.

Use this when multiple raters scored the same items and you want to quantify their consistency.

If you're comparing group means (not rater agreement), use ANOVA.

Built for: Researcher, psychometrician, quality analyst, clinical trialist

Typical data source: Rating data with multiple raters scoring the same subjects

researchhealthcareeducationquality

What data do you need?

Rater agreement data

subject (categorical) rater_1 (numeric) rater_2 (numeric)
S001 7 6
S002 5 5
S003 8 9

Minimum 10 rows · Best with 30-500 subjects

What's in the report?

Measures inter-rater reliability using ICC to assess agreement and consistency among multiple raters scoring subjects on continuous scales. Computes all 10 ICC forms, stratified ICC by subgroups, rater bias analysis, and Bland-Altman agreement plots.

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ICC Overview

Primary ICC result with confidence interval and interpretation

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All ICC Forms

All 10 ICC forms with 95% confidence intervals

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Rater Agreement Heatmap

Pairwise correlations between all raters

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Rater Summary

Per-rater statistics showing means, variability, and systematic bias

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Bland-Altman Agreement

Agreement plot showing limits of agreement between rater pairs

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Recommendations

Actionable recommendations for improving inter-rater reliability

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AI Insights

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

Related tools

Need something simpler? Correlation — Just want pairwise correlations between raters

Need more power? Ancova — Need to control for rater effects in a treatment study

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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