.j_correction

Small-sample bias correction for Hedges' g

internal

Compute effect sizes and their sampling variances from factorial experimental designs. The package supports calculation of simple effects, overall effects, and interaction effects for use in factorial meta-analyses. See Gurevitch et al. (2000) <doi:10.1086/303337>, Morris et al. (2007) <doi:10.1890/06-0442>, Lajeunesse (2011) <doi:10.1890/11-0423.1> and Macartney et al. (2022) <doi:10.1016/j.neubiorev.2022.104554>.

Facundo Decunta

minter

Effect Sizes for Meta-Analysis of Interactions from Factorial
Experiments

Shinichi Nakagawa

Daniel Noble

.j_correction function

<dl><dt>m</dt>
<dd>Degrees of freedom. They change between individual and main effects.</dd></dl>

Arguments

Correction for small-sample bias — .j_correction

<dl>

<dt>m</dt>
<dd>Degrees of freedom. They change between individual and main effects.</dd>

</dl>

.j_correction: Correction for small-sample bias

Description

Usage

Arguments