This function should be used with the meta.ave.gen function when the effect size is a correlation. Use the estimated average correlation and its standard error from meta.ave.gen in this function to obtain a more accurate confidence interval for the population average correlation.

meta.ave.fisher(alpha, cor, se)

Arguments

alpha

alpha value for 1-alpha confidence

cor

estimate of average correlation

se

standard error of average correlation

Value

Returns a 1-row matrix. The columns are:

  • Estimate - estimate of average correlation (from input)

  • LL - lower limit of the confidence interval

  • UL - lower limit of the confidence interval

Examples

meta.ave.fisher(0.05, 0.376, .054)
#>  Estimate        LL        UL
#>     0.376 0.2656039 0.4766632

# Should return:
# Estimate        LL        UL
#    0.376 0.2656039 0.4766632