Kroupova2021

The data set contains partial correlation coefficients, standard errors,
study labels, sample sizes, type of the educational outcome, intensity of the
employment, gender of the student population, study location, study design, whether
the study controlled for endogeneity, and whether the study controlled for motivation.
The original data set including additional variables and the publication are
available from the project page.
(Note that some standard errors and employment intensities are missing.)

datasets

A framework for Bayesian meta-analysis, including model estimation,
prior specification, model comparison, prediction, summaries, visualizations,
and diagnostics. The package fits single and model-averaged meta-analytic,
meta-regression, multilevel, publication bias adjusted, and generalized linear
mixed models The model-averaged meta-analytic models combine competing models
based on their predictive performance, weight inference by posterior model probabilities,
and test model components using Bayes factors (e.g., effect vs. no effect;
Bartoš et al., 2022, <doi:10.1002/jrsm.1594>; Maier, Bartoš & Wagenmakers, 2022,
<doi:10.1037/met0000405>; Bartoš et al., 2025, <doi:10.1037/met0000737>).
Users can specify flexible prior distributions for effect sizes, heterogeneity,
publication bias (including selection models and PET-PEESE), and moderators.

Franti<c5><a1>ek Barto<c5><a1>

RoBMA

Robust Bayesian Meta-Analyses

František Bartoš

Maximilian Maier

Eric-Jan Wagenmakers

Joris Goosen

Matthew Denwood

Martyn Plummer

Kroupova2021 function

A data.frame with 11 columns and 881 observations:<dl>
<dt><code>r</code></dt>
<dd>Partial correlation coefficient.</dd><dt><code>se</code></dt>
<dd>Standard error of r.</dd><dt><code>study</code></dt>
<dd>Study label.</dd><dt><code>sample_size</code></dt>
<dd>Sample size.</dd><dt><code>education_outcome</code></dt>
<dd>Type of educational outcome.</dd><dt><code>employment_intensity</code></dt>
<dd>Employment intensity.</dd><dt><code>students_gender</code></dt>
<dd>Gender composition of the student sample.</dd><dt><code>location</code></dt>
<dd>Study location.</dd><dt><code>design</code></dt>
<dd>Study design.</dd><dt><code>endogenity_control</code></dt>
<dd>Whether endogeneity was controlled.</dd><dt><code>motivation_control</code></dt>
<dd>Whether motivation was controlled.</dd>
</dl>

Format

881 estimates from 69 studies of a relationship between employment and
educational outcomes collected by kroupova2021student;textualRoBMA — Kroupova2021

A data.frame with 11 columns and 881 observations:<dl>
<dt><code>r</code></dt>
<dd>Partial correlation coefficient.</dd>

<dt><code>se</code></dt>
<dd>Standard error of r.</dd>

<dt><code>study</code></dt>
<dd>Study label.</dd>

<dt><code>sample_size</code></dt>
<dd>Sample size.</dd>

<dt><code>education_outcome</code></dt>
<dd>Type of educational outcome.</dd>

<dt><code>employment_intensity</code></dt>
<dd>Employment intensity.</dd>

<dt><code>students_gender</code></dt>
<dd>Gender composition of the student sample.</dd>

<dt><code>location</code></dt>
<dd>Study location.</dd>

<dt><code>design</code></dt>
<dd>Study design.</dd>

<dt><code>endogenity_control</code></dt>
<dd>Whether endogeneity was controlled.</dd>

<dt><code>motivation_control</code></dt>
<dd>Whether motivation was controlled.</dd>


</dl>

Kroupova2021: 881 estimates from 69 studies of a relationship between employment and educational outcomes collected by kroupova2021student;textualRoBMA

Description

Usage

Arguments

Format

References