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.

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