se.agree

Computes an adjusted G-index of agreement for two raters using the number
of objects rated in agreement, the sample size (number of objects), and
the number of rating categories. The adjustment for the G-index and its
standard error is optimized for the the number of planned studies in the
meta-analysis. The G-index 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.
The G-index is usually preferred to Cohen's kappa.

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.agree function

<dl><dt>f</dt>
<dd>number of objects rated in agreement</dd>
<dt>n</dt>
<dd>sample size (number of objects)</dd>
<dt>k</dt>
<dd>number of rating categories</dd>
<dt>m</dt>
<dd>number of studies in planned meta-analysis</dd></dl>

Arguments

Computes the estimate and standard error for a G-index of agreement — se.agree

<dl>

<dt>f</dt>
<dd>number of objects rated in agreement</dd>


<dt>n</dt>
<dd>sample size (number of objects)</dd>


<dt>k</dt>
<dd>number of rating categories</dd>


<dt>m</dt>
<dd>number of studies in planned meta-analysis</dd>

</dl>

se.agree: Computes the estimate and standard error for a G-index of agreement

Description

Usage

Value

Arguments

References

Examples