dat.motyl2017

Effect sizes from 875 studies in psychology. Adopted from Motyl et al.
(2017).

datasets

Tools for Bayesian estimation of meta-analysis models that account
for publications bias or p-hacking. For publication bias, this package
implements a variant of the p-value based selection model of Hedges (1992)
<doi:10.1214/ss/1177011364> with discrete selection probabilities. It also
implements the mixture of truncated normals model for p-hacking described
in Moss and De Bin (2019) <arXiv:1911.12445>.

Jonas Moss

publipha

Bayesian Meta-Analysis with Publications Bias and P-Hacking

Trustees of Columbia University 

dat.motyl2017 function

The tibble contains the following columns:<table class="table">
<tr><td>author</td><td><code>character</code></td><td>first author of study</td></tr>
<tr><td>year</td><td><code>numeric</code></td><td>publication year</td></tr>
<tr><td>study</td><td><code>numeric</code></td><td>the number given to the study in the original paper (0 = only one study was reported in the original paper;</td></tr>
<tr><td>journal</td><td><code>character</code></td><td>journal where the study was published</td></tr>
<tr><td>concealed</td><td><code>character</code></td><td>design of the study; "Between", "Within", or "Mixed"</td></tr>
<tr><td>experimental</td><td><code>numeric</code></td><td><code>TRUE</code> for an experimental study</td></tr>
<tr><td>ni</td><td><code>numeric</code></td><td>sample size</td></tr>
<tr><td>yi</td><td><code>numeric</code></td><td>observed mean difference in outcome</td></tr>
<tr><td>vi</td><td><code>numeric</code></td><td>corresponding sampling variance</td></tr>
</table>

Format

Effect Sizes from 875 Studies in Psychology. — dat.motyl2017

The tibble contains the following columns:<table class='table'>
<tr><td>author</td><td><code>character</code></td><td>first author of study</td></tr>
<tr><td>year</td><td><code>numeric</code></td><td>publication year</td></tr>
<tr><td>study</td><td><code>numeric</code></td><td>the number given to the study in the original paper (0 = only one study was reported in the original paper;</td></tr>
<tr><td>journal</td><td><code>character</code></td><td>journal where the study was published</td></tr>
<tr><td>concealed</td><td><code>character</code></td><td>design of the study; "Between", "Within", or "Mixed"</td></tr>
<tr><td>experimental</td><td><code>numeric</code></td><td><code>TRUE</code> for an experimental study</td></tr>
<tr><td>ni</td><td><code>numeric</code></td><td>sample size</td></tr>
<tr><td>yi</td><td><code>numeric</code></td><td>observed mean difference in outcome</td></tr>
<tr><td>vi</td><td><code>numeric</code></td><td>corresponding sampling variance</td></tr>
</table>

author	`character`	first author of study
year	`numeric`	publication year
study	`numeric`	the number given to the study in the original paper (0 = only one study was reported in the original paper;
journal	`character`	journal where the study was published
concealed	`character`	design of the study; "Between", "Within", or "Mixed"
experimental	`numeric`	`TRUE` for an experimental study
ni	`numeric`	sample size
yi	`numeric`	observed mean difference in outcome
vi	`numeric`	corresponding sampling variance

dat.motyl2017: Effect Sizes from 875 Studies in Psychology.

Description

Usage

Arguments

Format

References