cor.from.t

Computes the Pearson correlation between paired measurements
using a reported paired-samples t statistic and other
sample information. This correlation estimate is needed
in several functions that analyze mean differences and
standardized mean differences in paired-samples studies.

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

cor.from.t function

<dl><dt>m1</dt>
<dd>estimated mean for measurement 1</dd>
<dt>m2</dt>
<dd>estimated mean for measurement 2</dd>
<dt>sd1</dt>
<dd>estimated standard deviation for measurement 1</dd>
<dt>sd2</dt>
<dd>estimated standard deviation for measurement 2</dd>
<dt>t</dt>
<dd>value of paired-samples t-test</dd>
<dt>n</dt>
<dd>sample size</dd></dl>

Arguments

Computes a Pearson correlation between paired measurements from a
paired-samples t statistic — cor.from.t

<dl>

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


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


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


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


<dt>t</dt>
<dd>value of paired-samples t-test</dd>


<dt>n</dt>
<dd>sample size</dd>

</dl>

cor.from.t: Computes a Pearson correlation between paired measurements from a paired-samples t statistic

Description

Usage

Value

Arguments

Examples