How to Compute for Cronbach's Alpha in SPSS

What is Cronbach's Alpha?

• Cronbach's alpha is a measure of internal consistency, that is, how closely related a set of items are as a group. It is considered to be a measure of scale reliability. Technically speaking, Cronbach's alpha is not a statistical test – it is a coefficient of reliability (or consistency) (https://bit.ly/36KwXca).

Step-by-step procedure:

1. In SPSS, go to Analyze — Scale — Reliability Analysis.
• A window will pop-up
• Do the processes with one construct or variable at a time.
2. Throw in the measurement items in the 'Items' box.
• Click the statistics button.
• A new window will pop-up.
3. Under 'Descriptives for section', check for 'Scale' and 'Scale if item deleted' — click Continue.
1. See the result in the 'Reliability statistics' section of the output window.
2. The item-total statistics section will tell you which item to delete if you want to increase the value of your Cronbach's alpha (see the last column 'Cronbach’s Alpha if Item Deleted').

What is the acceptable Cronbach's alpha value?

• A generally accepted rule is that α of 0.6 - 0.7 indicates an acceptable level of reliability, and 0.8 or greater a very good level. However, values higher than 0.95 are not necessarily good, since they might be an indication of redundance (Hulin, Netemeyer, and Cudeck, 2001) (https://bit.ly/3flqEzO).

Hope this helps. :)