se.cohen

Computes the standard error of Cohen's d using only the two
sample sizes and an estimate of Cohen's d. Cohen's d and its standard error
assume equal variances. The estimate of Cohen's d, with the standard error
output from this function, can be used as input in the meta.ave.gen,
meta.lc.gen, and meta.lm.gen functions in
applications where different types of compatible standardized mean
differences are used in the 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

se.cohen function

<dl><dt>d</dt>
<dd>estimated Cohen's d</dd>
<dt>n1</dt>
<dd>sample size for group 1</dd>
<dt>n2</dt>
<dd>sample size for group 2</dd></dl>

Arguments

Computes the standard error for Cohen's d — se.cohen

<dl>

<dt>d</dt>
<dd>estimated Cohen's d</dd>


<dt>n1</dt>
<dd>sample size for group 1</dd>


<dt>n2</dt>
<dd>sample size for group 2</dd>

</dl>

se.cohen: Computes the standard error for Cohen's d

Description

Usage

Value

Arguments

See Also

Examples