Creates the ideal response matrix for each trait
sim_eta_matrix(K, J, Q)
Number of Attribute Levels
Number of Assessment Items
Q Matrix with dimensions \(K \times J\).
A mat
with dimensions \(J \times 2^K\).
## Simulation Settings ----
# Fixed Number of Assessment Items for Q
J = 18
# Fixed Number of Attributes for Q
K = 3
## Pre-specified configuration ----
# Specify Q
qbj = c(4, 2, 1, 4, 2, 1, 4, 2, 1, 6, 5, 3, 6, 5, 3, 7, 7, 7)
# Fill Q Matrix
Q = matrix(, J, K)
for (j in seq_len(J)) {
Q[j,] = attribute_inv_bijection(K, qbj[j])
}
# Create an eta matrix
ETA = sim_eta_matrix(K, J, Q)
## Random generation of Q matrix with ETA matrix ----
# Construct a random q matrix
Q_sim = sim_q_matrix(J, K)
# Generate the eta matrix
ETA_gen = sim_eta_matrix(K, J, Q_sim)