R/mozart.R

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

#' Example data for a meta-analysis of standardized mean differences: Mozart effect
#'
#' 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.
#'
#' @format A data frame with 38 rows and 6 variables:
#' \describe{
#'   \item{study_name}{short name of each study}
#'   \item{n}{sample size of each study}
#'   \item{d}{observed effect size (Cohen \emph{d}). Positive values correspond to higher mean performance in the group hearing the Mozart sonata}
#'   \item{se}{standard error of observed effect size}
#'   \item{unpublished}{dichotomous moderator variable: Was the
#'   study unpublished?}
#'   \item{rr_lab}{dichotomous moderator variable: Was the study conducted in the lab of authors Rauscher or Rideout?}
#'   }
#' @references Pietschnig, J., Voracek, M., & Formann, A. K. (2010). Mozart
#'   effect-Shmozart effect: A meta-analysis. \emph{Intelligence}, \emph{38}, 314-323.
"mozart"