mozart

A dataset consisting of 38 empirical studies used in the meta-analysis of
Pietschnig, Voracek, and Formann (2010) on the Mozart effect. Each study compared the spatial
task performance of participants after hearing the first movement "allegro
con spirito" of the Mozart sonata for two pianos in D major (KV 448) with
the spatial task performance of participants who were exposed to a non-musical
stimulus or no stimulus at all.

datasets

A compilation of functions to create visually appealing and information-rich
plots of meta-analytic data using 'ggplot2'. Currently allows to create forest plots,
funnel plots, and many of their variants, such as rainforest plots, thick forest plots,
additional evidence contour funnel plots, and sunset funnel plots. In addition, functionalities
for visual inference with the funnel plot in the context of meta-analysis are provided.

Michael Kossmeier

metaviz

Forest Plots, Funnel Plots, and Visual Funnel Plot Inference for
Meta-Analysis

Ulrich S. Tran

Martin Voracek

mozart function

A data frame with 38 rows and 6 variables:<dl class="dl-horizontal">
 <dt>study_name</dt><dd>short name of each study</dd>
 <dt>n</dt><dd>sample size of each study</dd>
 <dt>d</dt><dd>observed effect size (Cohen d). Positive values correspond to higher mean performance in the group hearing the Mozart sonata</dd>
 <dt>se</dt><dd>standard error of observed effect size</dd>
 <dt>unpublished</dt><dd>dichotomous moderator variable: Was the
 study unpublished?</dd>
 <dt>rr_lab</dt><dd>dichotomous moderator variable: Was the study conducted in the lab of authors Rauscher or Rideout?</dd>
 </dl>

Format

Example data for a meta-analysis of standardized mean differences: Mozart effect — mozart

A data frame with 38 rows and 6 variables:<dl class='dl-horizontal'>
 <dt>study_name</dt><dd>short name of each study</dd>
 <dt>n</dt><dd>sample size of each study</dd>
 <dt>d</dt><dd>observed effect size (Cohen d). Positive values correspond to higher mean performance in the group hearing the Mozart sonata</dd>
 <dt>se</dt><dd>standard error of observed effect size</dd>
 <dt>unpublished</dt><dd>dichotomous moderator variable: Was the
 study unpublished?</dd>
 <dt>rr_lab</dt><dd>dichotomous moderator variable: Was the study conducted in the lab of authors Rauscher or Rideout?</dd>
 </dl>

mozart: Example data for a meta-analysis of standardized mean differences: Mozart effect

Description

Usage

Arguments

Format

References