R/dataMedicaltest.R

#' Dataset of Admission Test to Medical School
#'
#' @docType data
#' @name dataMedicaltest
#' @description The \code{dataMedicaltest} dataset consists of the responses of 2,392 subjects
#' (750 males, 1,633 females and 9 subjects without gender specification) to multiple-choice
#' admission test to a medical school. It contains 100 items, possible answers
#' were A, B, C, D, while any combination of these can be correct.
#'
#' @usage data(dataMedicaltest)
#'
#' @author
#' Cestmir Stuka \cr
#' First Faculty of Medicine, Charles University in Prague \cr
#'
#' Martin Vejrazka \cr
#' First Faculty of Medicine, Charles University in Prague \cr
#'
#' Patricia Martinkova \cr
#' Institute of Computer Science, The Czech Academy of Sciences \cr
#' martinkova@cs.cas.cz \cr
#'
#' Jakub Houdek \cr
#' Institute of Computer Science, The Czech Academy of Sciences \cr
#' The Faculty of Informatics and Statistics, University of Economics, Prague \cr
#' houdek.james@gmail.com \cr
#'
#' Adela Drabinova \cr
#' Institute of Computer Science, The Czech Academy of Sciences \cr
#' Faculty of Mathematics and Physics, Charles University \cr
#' drabinova@cs.cas.cz \cr
#'
#' @references
#' Stuka, C. Vejrazka, M., Martinkova, P. Komenda, M. & Stepanek, L. (2016). The Use of  Test and Item Analisis for
#' Improvement of Tests. Workshop held at conference MEFANET, 2016, Brno, Czech Republic.
#'
#' @keywords datasets
#'
#' @seealso \code{\link{dataMedical}}, \code{\link{dataMedicalkey}}, \code{\link{dataMedicalgraded}}
#'
#' @format \code{dataMedicaltest} is a \code{data.frame} consisting of 2,392 observations on
#' the following 101 variables. The first 100 columns represent answers of subject to
#' items of the test. The 101st column is vector of gender membership; values 0 and 1
#' refer to males and females. The 102nd columns in criterion variable; value 1 means
#' that student studies standardly, 0 otherwise (e.g. leaving or interrupting studies).
"dataMedicaltest"
kitdouble/ShinyIRT documentation built on May 3, 2019, 5:47 p.m.