![]() ![]() One can see from this formula that if you increase the number of items, you increase Cronbach’s alpha.Īdditionally, if the average inter-item correlation is low, alpha will be low. $$ \alpha = \frac$ is the average inter-item covariance among the items and Below, for conceptual purposes, we show the formula for Technically speaking, Cronbach’s alpha is notĪ statistical test – it is a coefficient of reliability (or consistency).Īs a function of the number of test items and the average inter-correlationĪmong the items. ![]() Exploratory factorĪnalysis is one method of checking dimensionality. Unidimensional, additional analyses can be performed. Internal consistency, you wish to provide evidence that the scale in question is A “high” value for alphaĭoes not imply that the measure is unidimensional. Cronbach’s alpha is a measure of internal consistency, that is, how closely ![]()
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