se.mean2

Computes the standard error of a 2-group mean difference using the
estimated means, estimated standard deviations, and sample sizes.
The effect size estimate and 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 compatible mean differences from a combination
of 2-group and paired-samples experiments are used in the meta-analysis.
Equality of variances is not asumed.

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.mean2 function

<dl><dt>m1</dt>
<dd>estimated mean for group 1</dd>
<dt>m2</dt>
<dd>estimated mean for group 2</dd>
<dt>sd1</dt>
<dd>estimated standard deviation for group 1</dd>
<dt>sd2</dt>
<dd>estimated standard deviation for group 2</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 a 2-group mean difference — se.mean2

<dl>

<dt>m1</dt>
<dd>estimated mean for group 1</dd>


<dt>m2</dt>
<dd>estimated mean for group 2</dd>


<dt>sd1</dt>
<dd>estimated standard deviation for group 1</dd>


<dt>sd2</dt>
<dd>estimated standard deviation for group 2</dd>


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


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

</dl>

se.mean2: Computes the standard error for a 2-group mean difference

Description

Usage

Value

Arguments

References

Examples