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Compute various measures of internal consistencies for tests or item-scales of questionnaires.
cronbachs_alpha(x)A matrix or a data frame.
The Cronbach's Alpha value for x.
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 interprete 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.
# NOT RUN {
data(mtcars)
x <- mtcars[, c("cyl", "gear", "carb", "hp")]
cronbachs_alpha(x)
# }
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