sim.raschtype {sirt} | R Documentation |
Simulate from Generalized Logistic Item Response Model
Description
This function simulates dichotomous item responses from a
generalized logistic item response model (Stukel, 1988).
The four-parameter logistic item response model
(Loken & Rulison, 2010) is a special case. See rasch.mml2
for more details.
Usage
sim.raschtype(theta, b, alpha1=0, alpha2=0, fixed.a=NULL,
fixed.c=NULL, fixed.d=NULL)
Arguments
theta |
Unidimensional ability vector |
b |
Vector of item difficulties |
alpha1 |
Parameter |
alpha2 |
Parameter |
fixed.a |
Vector of item slopes |
fixed.c |
Vector of lower item asymptotes |
fixed.d |
Vector of lower item asymptotes |
Details
The class of generalized logistic link functions contain the most important link functions using the specifications (Stukel, 1988):
logistic link function: \alpha_1=0
and \alpha_2=0
probit link function: \alpha_1=0.165
and \alpha_2=0.165
loglog link function: \alpha_1=-0.037
and \alpha_2=0.62
cloglog link function: \alpha_1=0.62
and \alpha_2=-0.037
See pgenlogis
for exact transformation formulas of
the mentioned link functions.
Value
Data frame with simulated item responses
References
Loken, E., & Rulison, K. L. (2010). Estimation of a four-parameter item response theory model. British Journal of Mathematical and Statistical Psychology, 63, 509-525.
Stukel, T. A. (1988). Generalized logistic models. Journal of the American Statistical Association, 83, 426-431.
See Also
Examples
#############################################################################
## EXAMPLE 1: Simulation of data from a Rasch model (alpha_1=alpha_2=0)
#############################################################################
set.seed(9765)
N <- 500 # number of persons
I <- 11 # number of items
b <- seq( -2, 2, length=I )
dat <- sirt::sim.raschtype( stats::rnorm( N ), b )
colnames(dat) <- paste0( "I", 1:I )