meta.ave.cronbach: Confidence interval for an average Cronbach alpha reliability

In dgbonett/vcmeta: Varying Coefficient Meta-Analysis

Confidence interval for an average Cronbach alpha reliability

Description

Computes the estimate, standard error, and confidence interval for an average Cronbach reliability coefficient from two or more studies.

Usage

meta.ave.cronbach(alpha, n, rel, r, bystudy = TRUE)

Arguments

alpha	alpha level for 1-alpha confidence
n	vector of sample sizes
rel	vector of sample reliabilities
r	number of measurements (e.g., items) used to compute each reliability
bystudy	logical to also return each study estimate (TRUE) or not

Value

Returns a matrix. The first row is the average estimate across all studies. If bystudy is TRUE, there is 1 additional row for each study. The matrix has the following columns:

• Estimate - estimated effect size

• SE - standard error

• LL - lower limit of the confidence interval

• UL - upper limit of the confidence interval

References

\insertRef

Bonett2010vcmeta

Examples

n <- c(583, 470, 546, 680)
rel <- c(.91, .89, .90, .89)
meta.ave.cronbach(.05, n, rel, 10, bystudy = TRUE)

# Should return:
#         Estimate          SE        LL        UL
# Average   0.8975 0.003256081 0.8911102 0.9038592
# Study 1   0.9100 0.005566064 0.8985763 0.9204108
# Study 2   0.8900 0.007579900 0.8743616 0.9041013
# Study 3   0.9000 0.006391375 0.8868623 0.9119356
# Study 4   0.8900 0.006297549 0.8771189 0.9018203

dgbonett/vcmeta documentation built on July 12, 2024, 3:12 p.m.