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Cranach's alpha is sensitive to the number of items in the scale and generally tends to underestimate the internal consistency reliability. Composite reliability values of 0.60 to 0. 70 are acceptable in exploratory research, while in more advanced stages of research, values between 0.
High reliability means it measures job satisfaction, while low reliability means it measures something else (or possibly nothing at all). Cranach's alpha tests to see if multiple-question Likert scale surveys are reliable.
The general rule of thumb is that a Cranach's alpha of. 70 and above is good, 80 and above is better, and. 90 and above is best.
Cranach's alpha is a measure used to assess the reliability, or internal consistency, of a set of scale or test items.
If the items in a test are correlated to each other, the value of alpha is increased. However, a high coefficient alpha does not always mean a high degree of internal consistency. This is because alpha is also affected by the length of the test. If the test length is too short, the value of alpha is reduced.
N = the number of items. C = average covariance between item-pairs. V = average variance.
A general accepted rule is that 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 redundancy (Human, Netgear, and Cu deck, 2001).
70 is generally regarded as the minimum level of acceptable reliability.
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