Confidence interval for a subgroup difference in average semipartial correlations

Source: R/meta_comp.R

Computes the estimate, standard error, and confidence interval for a difference in average semipartial correlations for two subgroups of mutually exclusive studies. Each subgroup can have one or more studies.

meta.sub.semipart(alpha, n, cor, r2, group)

Arguments

alpha

alpha level for 1-alpha confidence

n

vector of sample sizes

cor

vector of estimated semi-partial correlations

r2

vector of squared multiple correlations for a model that includes the IV and all control variables

group

vector of group indicators:

  • 1 for set A

  • 2 for set B

  • 0 to ignore

Value

Returns a matrix with three rows:

  • Row 1 - estimate for Set A

  • Row 2 - estimate for Set B

  • Row 3 - estimate for difference, Set A - Set B

The columns are:

  • Estimate - estimated average correlation or difference

  • SE - standard error

  • LL - lower limit of the confidence interval

  • UL - upper limit of the confidence interval

Examples

n <- c(55, 190, 65, 35)
cor <- c(.40, .65, .60, .45)
r2 <- c(.25, .41, .43, .39)
group <- c(1, 1, 2, 0)  
meta.sub.semipart(.05, n, cor, r2, group)
#>                Estimate         SE         LL        UL
#> Set A:            0.525 0.05955276  0.3986844 0.6317669
#> Set B:            0.600 0.07931155  0.4221127 0.7333949
#> Set A - Set B:   -0.075 0.09918091 -0.2587113 0.1324682

# Should return:
#                Estimate         SE         LL        UL
# Set A:            0.525 0.05955276  0.3986844 0.6317669
# Set B:            0.600 0.07931155  0.4221127 0.7333949
# Set A - Set B:   -0.075 0.09918091 -0.2587113 0.1324682