DATA
One row per respondent, one column per item
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CRONBACH'S ALPHA CALCULATOR
DATA
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METHOD
α = (k ÷ (k − 1)) × (1 − Σσ²ᵢ ÷ σ²ₜ)k is the number of items, σ²ᵢ is the variance of each item, and σ²ₜ is the variance of respondents' total scores. Sample variances (n − 1) are used, matching SPSS, jamovi, and R's psych package.
Negatively worded statements must be flipped before computing alpha. On a 1–5 scale the reversed score is 6 − x; in general it is (min + max) − x.
If alpha is unexpectedly low or negative, look for an item with a negative item-total correlation: it is almost always an item that still needs reverse coding.
Example: “The 10-item engagement scale showed good internal consistency (Cronbach's α = .84, N = 212).” APA style drops the leading zero for values that cannot exceed 1.
Report alpha separately for each subscale, not only for the full questionnaire, and mention any items removed and why.
Alpha measures internal consistency of one scale. For agreement between two raters or coders, use Cohen's kappa instead.
ABOUT THIS TOOL
Check the internal consistency of a questionnaire scale from raw item scores, reverse-code negatively worded items, and see which items lower reliability.
KEY FUNCTIONS
LEARN THE METHOD
Turn questionnaire frequency counts into weighted means, standard deviations, rankings, and a verbal interpretation table ready for a thesis results chapter.
Find the minimum sample size for a survey or thesis using Slovin/Yamane or Cochran's formula, with confidence level, margin of error, population size, response-rate adjustment, and a copy-ready methods sentence.
Analyse raw data, frequency tables, grouped intervals, or paired X/Y values using descriptive statistics, sample and population standard deviation, variance, quartiles, IQR, outlier checks, and regression results.