meta.ave.semipart {vcmeta}

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 full model

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