Computes a confidence interval for a population reliability coefficient such as Cronbach's alpha or McDonald's omega using an estimate of the reliablity and its standard error. The standard error can be a robust standard error or bootstrap standard error obtained from an SEM program.
ci.reliability(alpha, rel, se, n)
alpha level for 1-alpha confidence
estimated reliability
standard error of reliability
sample size
Returns a 1-row matrix. The columns are:
LL - lower limit of the confidence interval
UL - upper limit of the confidence interval
ci.reliability(.05, .88, .0147, 100)
#> LL UL
#> [1,] 0.8489612 0.9065575
# Should return:
# LL UL
# [1,] 0.8489612 0.9065575