sim.Q: generate a random Q-matrix

In Qval: The Q-Matrix Validation Methods Framework

generate a random Q-matrix

Description

generate a I × K Q-matrix randomly, which consisted of one-attribute q-vectors (50 This function ensures that the generated Q-matrix contains at least two identity matrices as a priority. Therefore, this function must also satisfy the condition that the number of items (I) must be at least twice the number of attributes (K).

Usage

sim.Q(K, I)

Arguments

K	The number of attributes of the Q-matrix.
I	The number of items.

Value

An object of class matrix.

Author(s)

Haijiang Qin <[e-mail]>

References

Najera, P., Sorrel, M. A., de la Torre, J., & Abad, F. J. (2021). Balancing fit and parsimony to improve Q-matrix validation. Br J Math Stat Psychol, 74 Suppl 1, 110-130. DOI: 10.1111/bmsp.12228.

Examples

library(Qval)

set.seed(123)

Q <- sim.Q(5, 10)
print(Q)

Qval documentation built on April 3, 2025, 6:20 p.m.