Examples
Examples
Try the starting example
- Respondents × scored items JSON
- [[1,2,1],[2,3,2],[4,4,5],[3,4,3],[5,5,4]]
- Raw Cronbach alpha
- 0.953757
- Item count
- 3
Try another scenario
- Respondents × scored items JSON
- [[2,2,1],[2,3,2],[4,4,5],[3,4,3],[5,5,4]]
- Raw Cronbach alpha
- 0.938776
- Item count
- 3
Calculation method
Calculation method
Raw Cronbach alpha
alpha=k/(k-1)×(1-sum(item sample variances)/variance(row totals)).
Item count
alpha=k/(k-1)×(1-sum(item sample variances)/variance(row totals)).
Symbols and units
- a
- Respondents × scored items JSON
Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.
Calculation steps and notation
sum(list) adds all entries in the list.
Assumptions & limits
Assumptions & limits
- Raw alpha; items must already have required reverse scoring. Reliability is not validity. 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. Raw alpha; items must already have required reverse scoring. Reliability is not validity.
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.