% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/datasets.R
\docType{data}
\name{Andrews2021}
\alias{Andrews2021}
\title{39 study rows on household chaos and child executive functions
from a meta-analysis by
\insertCite{andrews2021examining;textual}{RoBMA}}
\format{
A data.frame with 15 columns and 39 observations:
\describe{
\item{\code{study_id}}{Source row identifier.}
\item{\code{slab}}{Study label.}
\item{\code{ri}}{Raw correlation coefficient.}
\item{\code{vi}}{Sampling variance of the raw correlation coefficient.}
\item{\code{sei}}{Sampling standard error of the raw correlation coefficient.}
\item{\code{ni}}{Sample size.}
\item{\code{year}}{Publication year.}
\item{\code{percent_female}}{Percentage of female children in the sample.}
\item{\code{age}}{Mean age of the children in years.}
\item{\code{assessment_interval_months}}{Time between household-chaos and executive-function assessments in months.}
\item{\code{dissertation}}{Whether the study was a dissertation.}
\item{\code{percent_minority}}{Percentage of minority participants in the sample.}
\item{\code{percent_low_parental_education}}{Percentage of parents with high school, GED, or lower education.}
\item{\code{hc_dimension}}{Household-chaos dimension using the source coding.}
\item{\code{measure}}{Executive-function assessment type, direct or informant.}
}
}
\usage{
Andrews2021
}
\description{
The data set contains raw correlation coefficients and
sampling information using \pkg{metafor}-compatible column names
(\code{ri}, \code{vi}, \code{sei}, \code{ni}, and \code{slab}), together with
study-level moderators from the original data set. Three source rows have
missing effect-size inputs and are omitted automatically by model-fitting
functions that require complete outcomes. The original data set assessed the
effect of household chaos on child executive functions
\insertCite{andrews2021examining}{RoBMA} and was used as an example in
\insertCite{bartos2023robust;textual}{RoBMA}.
}
\references{
\insertAllCited{}
}
\keyword{datasets}
