Simulate Data under a Rating Scale Model
rrsm simulates IRT data under a rating scale model.
rrsm(theta, beta, tau, nullcats = FALSE, return_setting = TRUE)
theta |
numeric vector of person parameters. Can also be a list, then a
list of length |
beta |
numeric vector of item difficulty parameters. |
tau |
numeric vector of threshold parameters. |
nullcats |
logical. Should null categories be allowed? |
return_setting |
logical. Should a list containing slots of "beta", "tau", and "theta", as well as the simulated data matrix "data" be returned (default) or only the simulated data matrix? |
rrsm returns either a list of the following components:
beta |
numeric vector of item difficulty parameters used, |
tau |
numeric vector of threshold parameters used, |
theta |
numeric vector (or list) of person parameters used, |
data |
numeric matrix containing the simulated data, |
or (if return_setting = FALSE) only the numeric matrix containing the
simulated data.
set.seed(1) ## item responses under a rating scale model (RSM) with ## 6 persons with three different person parameters ## 9 increasingly difficult items ## 3 different threshold parameters ppar <- rep(-1:1, each = 2) ipar <- seq(-2, 2, by = 0.5) tpar <- 0:2 sim <- rrsm(theta = ppar, beta = ipar, tau = tpar) ## simulated item response data along with setting parameters sim ## print and plot corresponding item response object iresp <- itemresp(sim$data) iresp plot(iresp)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.