simRasch: Simulate a data matrix from the Rasch Model

In plRasch: Log Linear by Linear Association models and Rasch family models by pseudolikelihood estimation

Description

Simulate a data matrix from the Rasch Model

Usage

simRasch(ncat, nitem, nexaminee, beta = NULL)

Arguments

ncat	number of response categories
nitem	number of items
nexaminee	number of examinees
beta	item parameter; if it is NULL, beta will be randomly generated from the standard normal distribution

Value

data	data is generated from Rasch model. It is a data frame or matrix with rows indicating individuals, columns indicating items, and the entry values indicating the choices are either 0 or 1
beta	item parameter
theta	the underlying latent trait

Author(s)

Zhushan "Mandy" Li & Feng Hong

References

Anderson, C.J., Li, Z., & Vermunt, J.K. (2007). Estimation of models in the Rasch family for polytomous items and multiple latent variables. Journal of Statistical Software, 20.

See Also

llla

Examples

NCAT <- 2;
NITEM <- 4;
NEXAMINEE <- 50;
BETA <- c(-1, 0, 0.5, 1)
set.seed(1);
rasch.sim <- simRasch(ncat=NCAT, nitem=NITEM, nexaminee=NEXAMINEE, beta=BETA)

plRasch documentation built on May 2, 2019, 10:58 a.m.