Cronbach alpha calculator
Each field is one item and successive numbers are responses from the same people. Complete at least two fields.
Scale items
| Item | n | Mean | Variance |
|---|---|---|---|
| Fill in the fields above — the result is computed on this page. | |||
How to use this page
- Paste each item in a separate field.
- Check matching respondent order.
- Read alpha and item variances.
What this page does not do: Reverse-worded items must be recoded first. Missing responses or unequal field lengths invalidate the calculation.
Further reading
Cronbach's alpha estimates internal consistency from item variances and the variance of total scores. Each position across fields must refer to the same respondent.
A higher alpha usually means more item covariance, but it does not prove unidimensionality or validity. A very high value can also signal redundant questions.
Frequently asked questions
Is alpha 0.7 always good?
There is no universal cutoff; requirements depend on the purpose and research stage.
Does alpha prove one construct?
No. Unidimensionality needs a separate analysis such as factor analysis.
See also
Beta distribution calculator
Calculate beta density, CDF, upper tail and quantile together with its mean and variance.
Chi-square test calculator
Calculate chi-square goodness of fit, independence, or a chi-square critical value.
Continuous uniform distribution calculator
Calculate density, CDF, upper tail, quantile, mean and variance for U(a,b).