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Reliability & Agreement
Before trusting a score built from multiple items, or a rating made by multiple people, it is worth asking how consistent those measurements actually are. These tools quantify that consistency directly, showing the data layout, sample size, and per-item or per-rater summaries used to compute it.
A reliability statistic describes internal consistency or agreement. It does not by itself establish that a scale or rating measures the right underlying construct, whether the items or raters involved are truly comparable, and whether the chosen model actually fits your specific study are left for you to verify.
Engines in this category
- Cronbach's Alpha Calculator
Estimate the internal consistency of a multi-item scale or survey.
- Split-Half Reliability Calculator
Estimate internal consistency by correlating two halves of a scale.
- Cohen's Kappa Calculator
Quantify chance-corrected agreement between two raters on categories.
- Weighted Kappa Calculator
Quantify agreement on ordered categories, penalizing larger disagreements more.
- Intraclass Correlation Calculator
Quantify rater or measurement reliability for an explicit ICC model.
- Bland-Altman Calculator
Assess agreement and bias between two measurement methods.