Examples
Examples
Try the starting example
- Square rater contingency counts JSON
- [[30,5,2],[4,25,3],[1,2,28]]
- Cohen kappa
- 0.744668
- Observed agreement fraction
- 0.83
- Chance agreement fraction
- 0.3342
Try another scenario
- Square rater contingency counts JSON
- [[31,5,2],[4,25,3],[1,2,28]]
- Cohen kappa
- 0.746979
- Observed agreement fraction
- 0.831683
- Chance agreement fraction
- 0.334771
Calculation method
Calculation method
Cohen kappa
Kappa=(po-pe)/(1-pe) using marginal products.
Observed agreement fraction
Kappa=(po-pe)/(1-pe) using marginal products.
Chance agreement fraction
Kappa=(po-pe)/(1-pe) using marginal products.
Symbols and units
- a
- Square rater contingency counts 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
- Calculation uses the entered values and stated mathematical model; quantities must use the labelled units. 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. Kappa=(po-pe)/(1-pe) using marginal products.
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.
Further reading
Background reading; this does not imply endorsement or independent review of SumFizz.