Simulate Item Response Data from EQC Results

Generates item response data using the calibrated parameters from EQC.

Usage

simulate_response_data(
  eqc_result,
  n_persons,
  latent_shape = "normal",
  latent_params = list(),
  seed = NULL
)

Arguments

eqc_result

An eqc_result object from eqc_calibrate().

n_persons

Integer. Number of persons to simulate.

latent_shape

Character. Shape argument for sim_latentG().

latent_params

List. Additional arguments for sim_latentG().

seed

Optional integer for reproducibility.

Value

A list containing:

response_matrix

N x I matrix of binary responses

theta

True abilities (N x 1)

beta

Item difficulties (I x 1)

lambda

Item discriminations (I x 1)

See also

eqc_calibrate, compute_reliability_tam

Examples

if (FALSE) { # \dontrun{
# First, run EQC calibration
eqc_result <- eqc_calibrate(
  target_rho = 0.80,
  n_items = 25,
  model = "rasch",
  seed = 42
)

# Generate response data
sim_data <- simulate_response_data(
  eqc_result = eqc_result,
  n_persons = 1000,
  latent_shape = "normal",
  seed = 123
)

# Use with TAM for validation
tam_rel <- compute_reliability_tam(sim_data$response_matrix, model = "rasch")
} # }