| ci.reliability | R Documentation |
Computes a confidence interval for a population reliability coefficient such as Cronbach's alpha or McDonald's omega using an estimate of the reliability and its standard error. The standard error can be a robust standard error or bootstrap standard error obtained from an SEM program. Use ci.cronbach for Cronbach's alpha if parallel measurements can be assumed.
For more details, see Section 2.8 of Bonett (2021, Volume 4)
ci.reliability(alpha, rel, se, n)
alpha |
alpha level for 1-alpha confidence |
rel |
estimated reliability |
se |
standard error of reliability |
n |
sample size |
Returns a 1-row matrix. The columns are:
Estimate - estimated reliability (from input)
LL - lower limit of the confidence interval
UL - upper limit of the confidence interval
Bonett2021statpsych
ci.reliability(.05, .88, .0147, 100)
# Should return:
# Estimate LL UL
# 0.88 0.849 0.9066
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