R/hox_2010.R

In cjvanlissa/gorica: Evaluation of Inequality Constrained Hypotheses Using GORICA

#' Sesame Street data based on Hox (2010)
#'
#' Synthetic data based on Hox (2010, p. 16). In the study, the outcome variable popular
#' represents the popularity score of pupils, ranging from 0 (very unpopular) to 10 (very
#' popular), for pupils nested in 100 classes of varying size. The popularity scores are
#' predicted by pupil level predictors gender (G) and pupil extraversion scores (PE) that
#' range from 1 (introversion) to 10 (extraversion), a class-level predictor teacher
#' experience (TE), and the cross-level interactions between G and TE as well as PE and TE.
#' Since standardization is recommended when the model contains interactions, we standardize
#' PS, PE and TE by means of grand mean centering. That is, we first substract the overall
#' means of the continuous variables PS, PE, and TE from each of their values, before dividing
#' these values by their standard deviations.
#'
#' \tabular{lll}{
#'   \strong{ID} \tab \code{integer} \tab Pupil ID\cr
#'   \strong{class} \tab \code{integer} \tab Class ID\cr
#'   \strong{PE} \tab \code{numeric} \tab Pupil extraversion, standardized\cr
#'   \strong{G} \tab \code{factor} \tab Pupil sex\cr
#'   \strong{PS} \tab \code{numeric} \tab Popularity scores, standardized\cr
#'   \strong{TE} \tab \code{integer} \tab Teacher experience, standardized
#' }
#' @docType data
#' @keywords datasets
#' @name hox_2010
#' @usage data(hox_2010)
#' @references Hox, J. J. (2010). Multilevel analysis: Techniques and
#' applications (2nd ed.). New York, NY: Routledge.
#' @format A data frame with 2000 rows and 6 variables.
NULL