meta.ave.semipart: Confidence interval for an average semipartial correlation

In dgbonett/vcmeta: Varying Coefficient Meta-Analysis

Confidence interval for an average semipartial correlation

Description

Computes the estimate, standard error, and confidence interval for an average semipartial correlation from two or more studies.

Usage

meta.ave.semipart(alpha, n, cor, r2, bystudy = TRUE)

Arguments

alpha	alpha level for 1-alpha confidence
n	vector of sample sizes
cor	vector of estimated semipartial correlations
r2	vector of squared multiple correlations for a model that includes the IV and all control variables
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

Examples

n <- c(128, 97, 210, 217)
cor <- c(.35, .41, .44, .39)
r2 <- c(.29, .33, .36, .39)
meta.ave.semipart(.05, n, cor, r2, bystudy = TRUE)

# Should return:
#         Estimate         SE        LL        UL
# Average   0.3975 0.03221240 0.3325507 0.4586965
# Study 1   0.3500 0.07175200 0.2023485 0.4820930
# Study 2   0.4100 0.07886080 0.2447442 0.5521076
# Study 3   0.4400 0.05146694 0.3338366 0.5351410
# Study 4   0.3900 0.05085271 0.2860431 0.4848830

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