Cronbach's Alpha is a test for internal consistency reliability for instruments using the Likert scale .

Cronbach's Alpha is indeed a measure used to assess the reliability, or internal consistency, of a set of scale or test items. In the context of the Likert scale, which is often used in questionnaires, it provides a measure of how closely related a set of items are as a group.

Here are the steps to calculate Cronbach's Alpha:

1. Administer the multiple Likert item questionnaire to a sample of people.

2. Code the responses from each participant. Each Likert item is scored from 1 to 5, so the responses should be coded the same way.

3. Calculate the variance for each item and the total variance. Variance measures how much the responses differ from the mean. The total variance is the sum of the variances for each item.

4. Calculate the average inter-item covariance. This is the average of the covariance between each pair of items. Covariance is a measure of how much two random variables vary together.

5. Use the formula to calculate Cronbach's Alpha:

   Alpha = (number of items / (number of items - 1)) * (1 - (sum of the variances of each item / total variance))

The resulting number will range from 0 to 1. The closer Cronbach's Alpha coefficient is to 1.0, the greater the internal consistency of the items in the scale. Generally, a Cronbach's Alpha of 0.7 and above is considered acceptable.