Description Usage Arguments Value References Examples
Function generates categorical data 1...5 for N
persons and J
items with paramters from rnorm()
.
1 2 | generate_irtree_steps(N = NULL, J = NULL, prop.rev = 0.5,
revItem = NULL, traitItem = NULL)
|
N |
number of persons |
J |
number of items |
prop.rev |
proportion of reversed items (rounded to next integer). Can
be a vector if multiple traits are specified by |
revItem |
vector of length J specifying reversed items (1=reversed,
0=regular). Overrides argument |
traitItem |
vector of length J specifying the underlying traits (e.g., indexed from 1...5). Standard: only a single trait is measured by all items. If the Big5 are measured, might be something like c(1,1,1,2,2,2,...,5,5,5,5) |
The function returns a list containing the generated matrix of responses X, a vector revItem indicating reversed items and true, latent values of the parameters.
Tutz, G. (1997). Sequential models for ordered responses. In W. J. van der Linden & R. K. Hambleton (Eds.), Handbook of Modern Item Response Theory (pp. 139-152). doi:10.1007/978-1-4757-2691-6_8
Verhelst, N. D., Glas, C. A. W., & de Vries, H. H. (1997). A steps model to analyze partial credit. In W. J. van der Linden & R. K. Hambleton (Eds.), Handbook of modern item response theory (pp. 123-138). doi:10.1007/978-1-4757-2691-6_7
1 2 3 | N <- 20
J <- 10
dat <- generate_irtree_steps(N = N, J = J)
|
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