Examples
Examples
Try the starting example
- Subjects × raters measurements JSON
- [[9,10,11],[11,12,13],[14,15,16],[17,16,18]]
- ICC(2,1) absolute agreement, single measurement
- 0.905512
- Subject mean square
- 29
- Rater mean square
- 3.25
- Residual mean square
- 0.25
Try another scenario
- Subjects × raters measurements JSON
- [[10,10,11],[11,12,13],[14,15,16],[17,16,18]]
- ICC(2,1) absolute agreement, single measurement
- 0.913793
- Subject mean square
- 26.75
- Rater mean square
- 2.583333
- Residual mean square
- 0.25
Calculation method
Calculation method
ICC(2,1) absolute agreement, single measurement
Two-way random-effects absolute-agreement ICC=(MSR-MSE)/(MSR+(k-1)MSE+k(MSC-MSE)/n).
Subject mean square
Two-way random-effects absolute-agreement ICC=(MSR-MSE)/(MSR+(k-1)MSE+k(MSC-MSE)/n).
Rater mean square
Two-way random-effects absolute-agreement ICC=(MSR-MSE)/(MSR+(k-1)MSE+k(MSC-MSE)/n).
Residual mean square
Two-way random-effects absolute-agreement ICC=(MSR-MSE)/(MSR+(k-1)MSE+k(MSC-MSE)/n).
Symbols and units
- a
- Subjects × raters measurements JSON
Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.
Assumptions & limits
Assumptions & limits
- Balanced complete ratings. Specific ICC(2,1) model only; negative estimates retained. Supported limits: All required fields must be finite values of the exact declared type and within displayed bounds. Lists contain1–1000 finite numbers. JSON tables are numeric rectangular rows, at most100 rows and30 columns; individual tools have stricter shape/domain constraints. Balanced complete ratings. Specific ICC(2,1) model only; negative estimates retained.
Are these inputs private?
These calculations run in your browser. A shared link contains the values you choose to share. Only questions submitted to the separate AI finder are sent to OpenAI.