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.
Usage
ci.reliability(alpha, rel, se, n)
Arguments
- alpha
alpha level for 1-alpha confidence
- rel
estimated reliability
- se
standard error of reliability
- n
sample size
Value
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
Examples
ci.reliability(.05, .88, .0147, 100)
#> Estimate LL UL
#> 0.88 0.8489612 0.9065575
# Should return:
# Estimate LL UL
# 0.88 0.8489612 0.9065575