Computes a chi-square test of effect-size homogeneity

Source: R/meta_misc.R

Computes a chi-square test of effect size homogeneity and p-value using effect-size estimates and their standard errors from two or more studies. This test should not be used to justify the use of a constant coeffient (fixed-effect) meta-analysis.

meta.chitest(est, se)

Arguments

est

vector of effect-size estimates

se

vector of effect-size standard errors

Value

Returns a one-row matrix:

  • Q - chi-square test statitic

  • df - degrees of freedom

  • p - p-value

References

Borenstein M, Hedges LV, Higgins JP, Rothstein HR (2009). Introduction to meta-analysis. Wiley, New York.

Examples

est <- c(.297, .324, .281, .149) 
se <- c(.082, .051, .047, .094)
meta.chitest(est, se)
#>         Q df         p
#>  2.706526  3 0.4391195

# Should return:
#         Q df         p
#  2.706526  3 0.4391195