| size.ci.cronbach.prior | R Documentation |
Computes the sample size required to estimate a Cronbach reliability with desired confidence interval precision in applications where an estimated Cronbach reliability from a prior study is available. The actual confidence interval width in the planned study will depend on the value of the estimated reliability in the planned study. An estimated Cronbach reliability from a prior study can be used to compute a lower prediction limit for the estimated reliability in the planned study, which is then used as a planning value in the sample size analysis. The probability that the prediction interval will have a width that is less than the desired width in the planned study is approximately 1 - alpha2.
This sample size approach assumes that the population Cronbach reliability that was estimated in the prior study is very similar to the population Cronbach reliability that will be estimated in the planned study. If an estimated Cronbach reliability from a prior study is not available, the researcher must use expert opinion to guess the value of the Cronbach reliability that will be observed in the planned study. The size.ci.cronbach function uses a reliability planning value that is based on expert opinion regarding the likely value of the reliability estimate that will be observed in the planned study.
size.ci.cronbach.prior(alpha1, alpha2, rel0, n0, r, w)
alpha1 |
alpha level for 1-alpha1 confidence in the planned study |
alpha2 |
alpha level for the 1-alpha2 prediction interval |
rel0 |
estimated reliability in prior study |
n0 |
sample size in prior study |
r |
number of measurements (items, raters, forms) |
w |
desired confidence interval width |
Returns the required sample size
size.ci.cronbach.prior(.05, .10, .86, 50, 5, .15)
# Should return:
# Sample size
# 71
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