Built by Rankite, the SEO team behind Swordfish AI's +400% revenue and Zluri's +45% organic growth. See the case studies
Cronbach's alpha is calculated as alpha equals k divided by (k minus 1), multiplied by 1 minus the sum of each item's variance divided by the variance of the total summed score, where k is the number of items in your scale. It ranges from 0 to 1, with higher values indicating that items in a scale tend to move together, a proxy for whether they are all measuring the same underlying construct.
Paste one row per respondent, with each item's score separated by a comma or space, and every row must contain the same number of items. A typical use case is a multi-item survey scale, for example four Likert-style questions all meant to measure the same construct like customer satisfaction, answered by a set of respondents.
A commonly used rule of thumb treats alpha above 0.9 as excellent, 0.8 to 0.9 as good, 0.7 to 0.8 as acceptable, 0.6 to 0.7 as questionable, 0.5 to 0.6 as poor, and below 0.5 as unacceptable for research use. An unusually high alpha above roughly 0.95 is often a sign of redundant items rather than a genuinely stronger scale, since it can mean several questions are just restating the same thing.
Want this done for you? Rankite offers monthly SEO management and SEO strategy session.
Get a free, no-obligation SEO audit and a 30-minute strategy session. We'll show you exactly where the growth is hiding.
Fill out the form and we'll get back to you within one business day. Prefer email? Write to us directly at contact@rankite.com.