Cronbach's alpha to Measure Internal Consistency/Reliability using SPSS

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Cronbach’s alpha to measure internal consistency/Reliability using SPSS

Cronbach’s alpha-Meaning 

When you have multiple Likert questions in a survey/questionnaire that form a scale and you wish to determine if the scale is reliable. 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. A “high” value for alpha does not imply that the measure is unidimensional.

Cronbach’s alpha to Measure Internal Consistency/Reliability using SPSS

A) Reliability of a Single Construct

Step1-Keep the data file opened and Click Analyze > Scale > Reliability Analysis

Step2-Reliability Analysis dialogue box will open,

Step3-Choose the variables/items that belong to a specific construct to the “items box” on the right.

Step4:The model is Alpha. Click “Statistics” Button. Select the Item, Scale and Scale if item deleted options in the “Descriptives for” , and the Correlations option in the “Inter-Item” . Click the “Continue” button. This will return you to the Reliability Analysis dialogue box. Click the “OK” button to generate the output.

OUTPUT

From our example, we can see that Cronbach’s alpha is 0.805, which indicates a high level of internal consistency for our scale with this specific sample

This column presents the value that Cronbach’s alpha would be greater if that particular item was deleted from the scale. We can see that “Qu8” has 0.128 and if this item is deleted from the construct then it would increase the alpha to 0.823 as seen in the “Corrected Item-Total Correlation” column for this item.

Verdict: It is advisable to remove the item “Qu8” and go ahead with the research but if that item is important the researcher can retain the item since the overall alpha score is greater than 0.7  in reliability statistics table. If the values are less than 0.7 then the reliability is less but still the research can proceed if he feels it is greater than 0.5 because the data is qualitative in nature.

B) Reliability of ALL the Constructs

To find the reliability of all the items in all the construct. Follow the steps as in “A” but select all the items of all the constructs to the “items window”.

Verdict: it is same as in heading “A”.

Reference

https://statistics.laerd.com/spss-tutorials/cronbachs-alpha-using-spss-statistics.php

Visit: Saru Publications – Online Journals

List of Journals:

1. 
   

   INTERNATIONAL JOURNAL OF SCIENCE & ENGINEERING RESEARCH – IJOSER

   
   


2. 
   

   INTERNATIONAL JOURNAL OF COMMERCE, ECONOMICS & MANAGEMENT – IJOCEM

   
   


3. 
   

   INTERNATIONAL JOURNAL OF SERVICE QUALITY – IJSQ

   
   


4. 
   

   INTERNATIONAL JOURNAL OF WEB COMPONENTS, DATA & ANALYTICS – IJWCDA

   
   

 

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Cronbach's alpha, Internal Consistency, #Cronbach'SAlpha, #InternalConsistency, Deepa-Enlighten
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