replicate.cor.gen

This function can be used to compare and combine any type of correlation
from an original study and a follow-up study. The confidence level for the
difference is 1 – 2*alpha, which is recommended for equivalence testing.

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

replicate.cor.gen function

<dl><dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>
<dt>cor1</dt>
<dd>estimated correlation in original study</dd>
<dt>se1</dt>
<dd>standard error of correlation in original study</dd>
<dt>cor2</dt>
<dd>estimated correlation in follow-up study</dd>
<dt>se2</dt>
<dd>standard error of correlation in follow-up study</dd></dl>

Arguments

Compares and combines any type of correlation in original and
follow-up studies — replicate.cor.gen

<dl>

<dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>


<dt>cor1</dt>
<dd>estimated correlation in original study</dd>


<dt>se1</dt>
<dd>standard error of correlation in original study</dd>


<dt>cor2</dt>
<dd>estimated correlation in follow-up study</dd>


<dt>se2</dt>
<dd>standard error of correlation in follow-up study</dd>

</dl>

replicate.cor.gen: Compares and combines any type of correlation in original and follow-up studies

Description

Usage

Value

Arguments

References

Examples