How to Calculate Cronbach’s Alpha in Google Sheets


Chronbach’s Alpha is a way to measure the internal consistency of a questionnaire or survey.

Cronbach’s Alpha ranges between 0 and 1, with higher values indicating that the survey or questionnaire is more reliable.

The following step-by-step example explains how to calculate Cronbach’s Alpha in Google Sheets.

Step 1: Enter the Data

Suppose a store manager wants to measure overall satisfaction among customers.

She decides to send out a survey to 10 customers who can rate the restaurant on a scale of 1 to 3 for various categories.

First, let’s enter the data that contains the survey responses for each of the 10 customers:

Step 2: Calculate Standard Deviations

Next, we will calculate the standard deviation of values in each column.

 To do so, type the following formula into cell B12:

=STDEV(B2:B11)

Then click and drag this formula to the right to cell E12:

Step 3: Calculate Cronbach’s Alpha

Next, we’ll type the following formula into cell B14 to calculate Cronbach’s Alpha:

=(COUNTA(B1:D1)/(COUNTA(B1:D1)-1))*(1-(SUMSQ(B12:D12)/(E12^2)))

The following screenshot shows how to use this formula in practice:

Cronbach's Alpha in Google Sheets

Cronbach’s Alpha turns out to be 0.7734.

The following table describes how different values of Cronbach’s Alpha are usually interpreted:

Cronbach’s Alpha Internal consistency
0.9 ≤ α Excellent
0.8 ≤ α < 0.9 Good
0.7 ≤ α < 0.8 Acceptable
0.6 ≤ α < 0.7 Questionable
0.5 ≤ α < 0.6 Poor
α < 0.5 Unacceptable

Since we calculated Cronbach’s Alpha to be 0.7734, we would say that the internal consistency of this survey is “Acceptable.”

Additional Resources

The following tutorials provide additional information about Cronbach’s Alpha:

How to Report Cronbach’ Alpha
How to Calculate Cronbach’s Alpha in R
How to Calculate Cronbach’s Alpha in Python

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