2/12/2023 0 Comments Reliability workbench![]() As the average inter-item correlation increases, Cronbach’s alpha increases as well (holding the number of items constant). 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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