MLMusingR: Practical Multilevel Modeling

#' Data from 29 schools (based on the NELS dataset) used for regression diagnostics
#'
#' For examining the association between amount homework done per week and math outcome.
#' @usage data(sch29)
#' @format A data frame with 648 rows and 8 variables:
#' \describe{
#'   \item{schid}{The school identifier (the grouping variable)}
#'   \item{ses}{Student-level socioeconomic status}
#'   \item{byhomewk}{Total amount of time the student spent on homework per week. 1 = None, 2 = Less than one hour, 3 = 1 hour, 4 = 2 hours, 5 = 3 hours, 6 = 4-6 hours, 7 = 7 - 9 hours, 8 = 10 or more}
#'   \item{math}{Mathematics score.}
#'   \item{male}{Dummy coded gender, 1 = male, 0 = female}
#'   \item{minority}{Dummy coded minority status, 1 = yes, 0 = no}
#'   \item{mses}{Aggregated socioeconomic status at the school level}
#'   \item{mhmwk}{Aggregated time spent on homework at the school level}
#' }
#' @source \url{https://nces.ed.gov/pubs92/92030.pdf}
"sch29"