Creates a list of discrimination (a) and difficulty (b) parameters
suitable for passing to irt_design().
Usage
irt_params_2pl(
n_items,
a_dist = "lnorm",
a_mean = 0,
a_sd = 0.25,
b_dist = "normal",
b_mean = 0,
b_sd = 1,
b_range = c(-2, 2),
seed = NULL
)Arguments
- n_items
Positive integer. Number of items.
- a_dist
Character string for the discrimination distribution. Currently only
"lnorm"(log-normal) is supported. Default:"lnorm".- a_mean
Numeric. Mean of the log-normal distribution for
a(i.e.,meanlog). Default:0.- a_sd
Numeric. SD of the log-normal distribution for
a(i.e.,sdlog). Default:0.25.- b_dist
Character string for the difficulty distribution. One of
"normal"or"even". Default:"normal".- b_mean
Numeric. Mean of the normal distribution for
b. Only used whenb_dist = "normal". Default:0.- b_sd
Numeric. SD of the normal distribution for
b. Only used whenb_dist = "normal". Default:1.- b_range
Numeric vector of length 2. Range for evenly-spaced
bvalues. Only used whenb_dist = "even". Default:c(-2, 2).- seed
Optional integer seed for reproducibility. If
NULL(default), the current RNG state is used.
See also
irt_params_grm() for GRM parameters, irt_design() to use the
generated parameters.
Examples
# Default 2PL parameters for 30 items
params <- irt_params_2pl(n_items = 30, seed = 42)
# Evenly-spaced difficulty
params <- irt_params_2pl(n_items = 20, b_dist = "even", b_range = c(-3, 3))