Table 4 Average Monte Carlo errors for first simulation study
From: A restricted latent class model with polytomous attributes and respondent-level covariates
\(N\) | \(J\) | \(K\) | \(L\) | \(\rho\) | \(\eta\) | \(\beta\) | \(\delta\) | \(\gamma\) | \(R\) | \(\lambda\) |
|---|---|---|---|---|---|---|---|---|---|---|
500 | 15 | 2 | 2 | 0.000 | 0.001 | 0.008 | 0.009 | 0.005 | 0.002 | |
500 | 15 | 2 | 3 | 0.000 | 0.005 | 0.019 | 0.011 | 0.005 | 0.012 | 0.007 |
500 | 25 | 3 | 2 | 0.000 | 0.001 | 0.007 | 0.007 | 0.005 | 0.003 | |
500 | 25 | 3 | 3 | 0.000 | 0.003 | 0.013 | 0.011 | 0.010 | 0.008 | 0.003 |
500 | 45 | 4 | 2 | 0.000 | 0.002 | 0.009 | 0.008 | 0.006 | 0.005 | |
500 | 15 | 2 | 2 | 0.250 | 0.001 | 0.008 | 0.009 | 0.005 | 0.002 | |
500 | 15 | 2 | 3 | 0.250 | 0.001 | 0.012 | 0.006 | 0.005 | 0.005 | 0.002 |
500 | 25 | 3 | 2 | 0.250 | 0.001 | 0.008 | 0.008 | 0.005 | 0.004 | |
500 | 25 | 3 | 3 | 0.250 | 0.008 | 0.022 | 0.017 | 0.013 | 0.010 | 0.010 |
500 | 45 | 4 | 2 | 0.250 | 0.002 | 0.005 | 0.005 | 0.005 | 0.003 | |
500 | 15 | 2 | 2 | 0.500 | 0.001 | 0.008 | 0.009 | 0.005 | 0.002 | |
500 | 15 | 2 | 3 | 0.500 | 0.002 | 0.011 | 0.009 | 0.004 | 0.004 | 0.001 |
500 | 25 | 3 | 2 | 0.500 | 0.005 | 0.028 | 0.021 | 0.020 | 0.023 | |
500 | 25 | 3 | 3 | 0.500 | 0.008 | 0.035 | 0.029 | 0.040 | 0.022 | 0.022 |
500 | 45 | 4 | 2 | 0.500 | 0.005 | 0.022 | 0.017 | 0.020 | 0.018 | |
1500 | 15 | 2 | 2 | 0.000 | 0.001 | 0.004 | 0.006 | 0.003 | 0.001 | |
1500 | 15 | 2 | 3 | 0.000 | 0.004 | 0.014 | 0.009 | 0.004 | 0.010 | 0.006 |
1500 | 25 | 3 | 2 | 0.000 | 0.001 | 0.003 | 0.005 | 0.002 | 0.002 | |
1500 | 25 | 3 | 3 | 0.000 | 0.004 | 0.011 | 0.009 | 0.007 | 0.006 | 0.003 |
1500 | 45 | 4 | 2 | 0.000 | 0.003 | 0.010 | 0.008 | 0.007 | 0.005 | |
1500 | 15 | 2 | 2 | 0.250 | 0.001 | 0.004 | 0.006 | 0.002 | 0.001 | |
1500 | 15 | 2 | 3 | 0.250 | 0.001 | 0.008 | 0.005 | 0.002 | 0.002 | 0.001 |
1500 | 25 | 3 | 2 | 0.250 | 0.001 | 0.003 | 0.004 | 0.002 | 0.002 | |
1500 | 25 | 3 | 3 | 0.250 | 0.008 | 0.019 | 0.014 | 0.011 | 0.011 | 0.010 |
1500 | 45 | 4 | 2 | 0.250 | 0.001 | 0.003 | 0.003 | 0.003 | 0.002 | |
1500 | 15 | 2 | 2 | 0.500 | 0.001 | 0.004 | 0.005 | 0.003 | 0.001 | |
1500 | 15 | 2 | 3 | 0.500 | 0.001 | 0.008 | 0.007 | 0.002 | 0.002 | 0.001 |
1500 | 25 | 3 | 2 | 0.500 | 0.004 | 0.021 | 0.016 | 0.017 | 0.021 | |
1500 | 25 | 3 | 3 | 0.500 | 0.009 | 0.036 | 0.028 | 0.043 | 0.024 | 0.023 |
1500 | 45 | 4 | 2 | 0.500 | 0.006 | 0.021 | 0.017 | 0.021 | 0.017 | |
3000 | 15 | 2 | 2 | 0.000 | 0.001 | 0.003 | 0.003 | 0.002 | 0.001 | |
3000 | 15 | 2 | 3 | 0.000 | 0.005 | 0.014 | 0.008 | 0.004 | 0.012 | 0.008 |
3000 | 25 | 3 | 2 | 0.000 | 0.000 | 0.002 | 0.003 | 0.002 | 0.001 | |
3000 | 25 | 3 | 3 | 0.000 | 0.002 | 0.008 | 0.007 | 0.003 | 0.002 | 0.002 |
3000 | 45 | 4 | 2 | 0.000 | 0.003 | 0.011 | 0.009 | 0.007 | 0.004 | |
3000 | 15 | 2 | 2 | 0.250 | 0.001 | 0.003 | 0.004 | 0.002 | 0.001 | |
3000 | 15 | 2 | 3 | 0.250 | 0.001 | 0.007 | 0.005 | 0.002 | 0.002 | 0.001 |
3000 | 25 | 3 | 2 | 0.250 | 0.000 | 0.004 | 0.004 | 0.003 | 0.002 | |
3000 | 25 | 3 | 3 | 0.250 | 0.007 | 0.017 | 0.012 | 0.011 | 0.009 | 0.009 |
3000 | 45 | 4 | 2 | 0.250 | 0.001 | 0.004 | 0.004 | 0.003 | 0.003 | |
3000 | 15 | 2 | 2 | 0.500 | 0.001 | 0.003 | 0.004 | 0.002 | 0.001 | |
3000 | 15 | 2 | 3 | 0.500 | 0.001 | 0.006 | 0.006 | 0.002 | 0.002 | 0.001 |
3000 | 25 | 3 | 2 | 0.500 | 0.005 | 0.025 | 0.019 | 0.020 | 0.022 | |
3000 | 25 | 3 | 3 | 0.500 | 0.007 | 0.032 | 0.024 | 0.034 | 0.023 | 0.021 |
3000 | 45 | 4 | 2 | 0.500 | 0.004 | 0.016 | 0.013 | 0.014 | 0.013 |