mc_dina_data_gen: Artificial data generating function for the multiple-choice...

In variationalDCM: Variational Bayesian Estimation for Diagnostic Classification Models

Artificial data generating function for the multiple-choice DINA model based on the given Q-matrix

Description

mc_dina_data_gen() returns the artificially generated item response data for the MC-DINA model

Usage

mc_dina_data_gen(I, Q, att_cor = 0.1, seed = 17)

Arguments

I	the number of assumed respondents
Q	the J \times K binary matrix
att_cor	the true value of the correlation among attributes (default: 0.1)
seed	the seed value used for random number generation (default: 17)

Value

A list including:

X

the generated artificial item response data

att_pat

the generated true vale of the attribute mastery pattern

References

Yamaguchi, K. (2020). Variational Bayesian inference for the multiple-choice DINA model. Behaviormetrika, 47(1), 159-187. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/s41237-020-00104-w")}

Examples

# load a simulated Q-matrix
mc_Q = mc_sim_Q
mc_sim_data = mc_dina_data_gen(Q=mc_Q,I=200)

variationalDCM documentation built on May 29, 2024, 6:45 a.m.