pcIRT (version 0.2.4)

simDRM: simulate data according to Rasch model

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

Value

datmat

simulated data set

true_itempar

the fixed item parameters according to the input

true_perspar

the fixed person parameters

Details

Data are generated with category values 0 and 1.

Person parameters are generated by a standard normal distribution.

References

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

See Also

simMPRMsimCRSM

Examples

# NOT RUN {
#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)

# }