R/MSATBtest.R

In difNLR: DIF and DDF Detection by Non-Linear Regression Models

#' Dataset of School Admission Test in Biology.
#'
#' @description The \code{MSATBtest} dataset consists of the responses of 1,407 subjects (484 males, 923 females)
#' to multiple-choice admission test to medical school in the Czech republic. It contains 20 selected items from original
#' test while first item was previously detected detected as differently functioning (Vlckova, 2014).
#' Possible answers were A, B, C, and D, while any combination of these can be correct. The column \code{gender} represents
#' gender of students, where 0 indicates males (reference group) and 1 indicates females (focal group).
#'
#' @usage data(MSATBtest)
#'
#' @author
#' Adela Hladka (nee Drabinova) \cr
#' Institute of Computer Science of the Czech Academy of Sciences \cr
#' Faculty of Mathematics and Physics, Charles University \cr
#' \email{hladka@@cs.cas.cz} \cr
#'
#' Patricia Martinkova \cr
#' Institute of Computer Science of the Czech Academy of Sciences \cr
#' \email{martinkova@@cs.cas.cz} \cr
#'
#' @references
#' Drabinova, A. & Martinkova, P. (2017). Detection of differential item functioning with nonlinear regression:
#' A non-IRT approach accounting for guessing. Journal of Educational Measurement, 54(4), 498--517,
#' \doi{10.1111/jedm.12158}.
#'
#' Vlckova, K. (2014). Test and item fairness. Master's thesis. Faculty of Mathematics and Physics, Charles University.
#'
#' @keywords datasets
#'
#' @seealso \code{\link{MSATB}}, \code{\link{MSATBkey}}
#'
#' @format A \code{MSATBtest} data frame consists of 1,407 observations on the following 21 variables:
#' \describe{
#' \item{Item}{nominal items of the test}
#' \item{gender}{gender of respondents, \code{"0"} males, \code{"1"} females}
#' }
"MSATBtest"