metaSEM (version 0.9.4)

homoStat: Test the Homogeneity of Effect Sizes

Description

It tests the homogeneity of univariate and multivariate effect sizes.

Usage

homoStat(y, v)

Arguments

y

A vector of effect size for univariate meta-analysis or a $k$ x $p$ matrix of effect sizes for multivariate meta-analysis where $k$ is the number of studies and $p$ is the number of effect sizes.

v

A vector of the sampling variance of the effect size for univarite meta-analysis or a $k$ x $p*$ matrix of the sampling covariance matrix of the effect sizes for multivariate meta-analysis where $p* = p(p+1)/2$. It is arranged by column major as used

Value

• A list of
• Q
  Q statistic on the null hypothesis of homogeneity of effect sizes. It has an approximate chi-square distribution under the null hypothesis.
• Q.df
  Degrees of freedom of the Q statistic
• pval
  p value on the test of homogeneity of effect sizes

References

Becker, B. J. (1992). Using results from replicated studies to estimate linear models. Journal of Educational Statistics, 17, 341-362. Cheung, M. W.-L. (2010). Fixed-effects meta-analyses as multiple-group structural equation models. Structural Equation Modeling, 17, 481-509.

Cochran, W. G. (1954). The combination of estimates from different experiments. Biometrics, 10, 101-129.

See Also

meta

Examples

with( Hox02, homoStat(yi, vi) )

with( HedgesOlkin85, homoStat(y=cbind(d_att, d_ach),
      v=cbind(var_att, cov_att_ach, var_ach)) )