A restricted latent class model with polytomous attributes and respondent-level covariates

Table 5 Average Monte Carlo errors for second simulation study

\(N\)	\(J\)	\(K\)	\(L\)	\(\rho\)	\(\eta\)	\(\beta\)	\(\delta\)	\(\gamma\)	\(R\)	\(\lambda\)
3000	45	4	3	0.000	0.004	0.010	0.008	0.009	0.005	0.006
3000	70	5	2	0.000	0.003	0.005	0.005	0.000	0.006	0.004
3000	70	5	3	0.000	0.004	0.006	0.005	0.003	0.003	0.004
3000	45	4	3	0.250	0.006	0.013	0.011	0.008	0.010	0.008
3000	70	5	2	0.250	0.002	0.004	0.003	0.000	0.004	0.003
3000	70	5	3	0.250	0.007	0.010	0.009	0.009	0.008	0.009
3000	45	4	3	0.500	0.010	0.027	0.022	0.014	0.016	0.017
3000	70	5	2	0.500	0.004	0.013	0.011	0.000	0.014	0.015
3000	70	5	3	0.500	0.008	0.034	0.013	0.013	0.009	0.014
5000	45	4	3	0.000	0.004	0.009	0.008	0.008	0.005	0.006
5000	70	5	2	0.000	0.003	0.007	0.006		0.008	0.004
5000	70	5	3	0.000	0.004	0.004	0.003	0.004	0.003	0.004
5000	45	4	3	0.250	0.006	0.012	0.010	0.008	0.009	0.009
5000	70	5	2	0.250	0.001	0.002	0.003		0.003	0.001
5000	70	5	3	0.250	0.007	0.011	0.009	0.011	0.006	0.009
5000	45	4	3	0.500	0.010	0.028	0.022	0.014	0.014	0.016
5000	70	5	2	0.500	0.005	0.015	0.014		0.020	0.017
5000	70	5	3	0.500	0.008	0.029	0.013	0.012	0.010	0.013