Reliability is one of the most
important characteristics of any test. It refers to the precision and accuracy
of the measurement of the score or data as well as it has the stability of a
test measure. In simple words, reliability is the prerequisite for validity as
a good measurement instrument is both reliable and valid. The test cannot be
valid unless it is reliable, and the reliability ranging from 0 to +1. A
reliability coefficient of 0.60 means that 60% of the variance in test scores
is due to systematic variance in the characteristic being measured and 40% is
due to error variance. Different tests are used to examine the reliability but
Cronbach’s alpha is the most famous one among all. Cronbach’s alpha is used for the
determination of reliability of data for this study. Decision criteria for the
acceptance or rejection of being reliable are, value > 0.7 suggests
reliability and vice versa. The test is run for each variable of study total of
eight variables containing three leadership styles and five elements of the climate
of the organization individually to observe whether collected data is reliable
for analysis.
How to perform Cronbach’s Alpha in SPSS
Step by step procedure for performing Cronbach’s alpha in SPSS.
Click on analyze, then Scale, and then
reliability analysis.
Import elements into the right box. I have selected four
elements that are used to measure CSR.
And Click Ok.
The Results will appear in the Output section of SPSS as follows:
How to interpret Cronbach’s alpha results
The main table that
needs to be interpreted is reliability statistics. The results show that 85% of
the variance in test scores is due to systematic variance in the characteristic
being measured. The data is reliable because the alpha is greater than 0.7.
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