# 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 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.”