Compute various measures of internal consistencies for tests or item-scales of questionnaires.
cronbachs_alpha(x,...)
Arguments
x: A matrix or a data frame.
...: Currently not used.
Returns
The Cronbach's Alpha value for x.
Details
The Cronbach's Alpha value for x. A value closer to 1 indicates greater internal consistency, where usually following rule of thumb is applied to interpret the results: < 0.5 is unacceptable, 0.5 < < 0.6 is poor, 0.6 < < 0.7 is questionable, 0.7 < < 0.8 is acceptable, and everything > 0.8 is good or excellent.