R/reporting.R

In mlmtools: Multi-Level Model Assessment Kit

#' Reporting Data
#'
#' Data from a study on the reporting rates of outliers with data on 2235 experiments.
#'
#' @docType data
#'
#' @usage data(reporting)
#'
#' @format A data frame with 2235 observations on the following 18 variables.
#' \describe{
#' \item{\code{Reference.Code}}{Bibtex reference code for the article}
#' \item{\code{year}}{Year of publication}
#' \item{\code{time.pulled}}{Year article was pulled for these data}
#' \item{\code{Type}}{Type of psychological journal}
#' \item{\code{Journal}}{Journal of publication}
#' \item{\code{authors}}{Authors}
#' \item{\code{article}}{Title of article}
#' \item{\code{original.sample.size}}{Original sample size from the article}
#' \item{\code{mention.outliers}}{Whether or not the article mentioned outliers}
#' \item{\code{final.sample.size}}{Final sample size from the article}
#' \item{\code{number.outliers}}{Number of outliers identified by the article}
#' \item{\code{Basics}}{Whether or not they ran basic statistics (e.g., descriptive statistics, z scores, t tests, and correlations)}
#' \item{\code{ANOVA}}{Whether or not they ran ANOVA}
#' \item{\code{Regression}}{Whether or not they ran a regression}
#' \item{\code{ChiSquare}}{Whether or not they ran a chi-squared test}
#' \item{\code{Nonparametric}}{Whether or not they ran a nonparametric test}
#' \item{\code{Modeling}}{Whether or not they used structural equation modeling}
#' \item{\code{BayesOther}}{Whether or not they used Bayes or another form of analysis}
#' }
#'
#' @keywords datasets
#'
#' @references Valentine, K. D., Buchanan, E. M., Cunningham, A., Hopke, T., Wikowsky, A., & Wilson, H. (2021). Have psychologists increased reporting of outliers in response to the reproducibility crisis?. Social and Personality Psychology Compass, 15(5), e12591.
#'
#' @source \href{https://github.com/doomlab/Outliers/tree/master/paper}{GitHub}
#'
#' @examples
#' data(reporting)
"reporting"