simDRM: simulate data according to Rasch model

In christinehohensinn/pcIRT: IRT Models for Polytomous and Continuous Item Responses

Description

With this function data sets according to the dichotomous Rasch model (DRM) are simulated

Usage

simDRM(itempar, persons = 500, seed = NULL)

Arguments

itempar	a vector with item difficulty parameters
persons	number of persons for the generated data set
seed	a seed for the random number generated can optionally be set

Details

Data are generated with category values 0 and 1.

Person parameters are generated by a standard normal distribution.

Value

datmat	simulated data set
true_itempar	the fixed item parameters according to the input
true_perspar	the fixed person parameters

Author(s)

Christine Hohensinn

References

Fischer, G. H. (1974). Einfuehrung in die Theorie psychologischer Tests [Introduction to test theory]. Bern: Huber.

See Also

simMPRMsimCRSM

Examples

#set item parameters
item_p <- c(-1.5,-0.3,0,0.3,1.5)

#number of persons
pn <- 500

#simulate data set
simdatD <- simDRM(item_p, pn)

christinehohensinn/pcIRT documentation built on May 13, 2019, 7 p.m.