R/realdata_Tatsuoka1990.R

In GDINA: The Generalized DINA Model Framework

#' Tatsuoka's fraction subtraction data
#'
#' Fraction Subtraction data (Tatsuoka, 1990, 2002) consists of responses of 536 examinees to 20 items measuring 8 attributes.
#'
#' @format A list of responses and Q-matrix with components:
#' \describe{
#' \item{\code{dat}}{responses of 536 examinees to 20 items}
#' \item{\code{Q}}{The \eqn{20 \times 8} Q-matrix}
#' }
#'
#' @author Wenchao Ma, The University of Minnesota, \email{wma@umn.edu}
#' @examples
#' \dontrun{
#' mod1 <- GDINA(realdata_Tatsuoka1990$dat,realdata_Tatsuoka1990$Q,model="DINA")
#' mod1
#' summary(mod1)
#' # Higher order model
#' mod2 <- GDINA(realdata_Tatsuoka1990$dat,
#' realdata_Tatsuoka1990$Q,model="DINA",
#' att.dist="higher.order")
#' mod2
#' anova(mod1,mod2)
#' }
#' @references
#'
#' Ma, W., & de la Torre, J. (2020). GDINA: An R Package for Cognitive Diagnosis Modeling. \emph{Journal of Statistical Software, 93(14)}, 1-26.
#' Tatsuoka, K. K. (1990). Toward an integration of item-response theory and cognitive error diagnosis. In N. Frederiksen, R. Glaser, A. Lesgold, & M. Shafto (Eds.), Diagnostic monitoring of skill and knowledge acquisition (pp. 453-488). Hillsdale, NJ: Erlbaum.
#' Tatsuoka, C. (2002). Data analytic methods for latent partially ordered classification models. \emph{Journal of the Royal Statistical Society, Series C, Applied Statistics, 51}, 337-350.
"realdata_Tatsuoka1990"