meta.chitest

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.

Implements functions for varying coefficient meta-analysis methods.
These methods do not assume effect size homogeneity. Subgroup effect size
comparisons, general linear effect size contrasts, and linear models of
effect sizes based on varying coefficient methods can be used to describe
effect size heterogeneity. Varying coefficient meta-analysis methods do not
require the unrealistic assumptions of the traditional fixed-effect and
random-effects meta-analysis methods. For details see:
Statistical Methods for Psychologists, Volume 5, <https://dgbonett.sites.ucsc.edu/>.

Douglas G. Bonett

vcmeta

Varying Coefficient Meta-Analysis

Robert J. Calin-Jageman

meta.chitest function

<dl><dt>est</dt>
<dd>vector of effect-size estimates</dd>
<dt>se</dt>
<dd>vector of effect-size standard errors</dd></dl>

Arguments

Computes a chi-square test of effect-size homogeneity — meta.chitest

<dl>

<dt>est</dt>
<dd>vector of effect-size estimates</dd>


<dt>se</dt>
<dd>vector of effect-size standard errors</dd>

</dl>

meta.chitest: Computes a chi-square test of effect-size homogeneity

Description

Usage

Value

Arguments

References

Examples