ci.rel2 {statpsych} | R Documentation |
Confidence interval for a 2-group reliability difference
Description
Computes a 100(1 - alpha)% confidence interval for a difference in population reliabilities in a 2-group design. This function can be used with any type of reliability coefficient (e.g., Cronbach alpha, McDonald omega, intraclass reliability). The function requires a point estimate and a 100(1 - alpha)% confidence interval for each reliability as input.
Usage
ci.rel2(rel1, ll1, ul1, rel2, ll2, ul2)
Arguments
rel1 |
estimated reliability for group 1 |
ll1 |
lower limit for group 1 reliability |
ul1 |
upper limit for group 1 reliability |
rel2 |
estimated reliability for group 2 |
ll2 |
lower limit for group 2 reliability |
ul2 |
upper limit for group 2 reliability |
Value
Returns a 1-row matrix. The columns are:
Estimate - estimated reliability difference
LL - lower limit of the confidence interval
UL - upper limit of the confidence interval
References
Bonett DG, Wright TA (2015). “Cronbach's alpha reliability: Interval estimation, hypothesis testing, and sample size planning.” Journal of Organizational Behavior, 36(1), 3–15. ISSN 08943796, doi:10.1002/job.1960.
Examples
ci.rel2(.4, .35, .47, .2, .1, .32)
# Should return:
# Estimate LL UL
# 0.2 0.07 0.3220656