homoStat {metaSEM} | R Documentation |
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 |
v |
A vector of the sampling variance of the effect size for univariate
meta-analysis or a |
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 |
Author(s)
Mike W.-L. Cheung <mikewlcheung@nus.edu.sg>
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
Examples
with( Hox02, homoStat(yi, vi) )
with( HedgesOlkin85, homoStat(y=cbind(d_att, d_ach),
v=cbind(var_att, cov_att_ach, var_ach)) )