Table 3.
AIC | ||||
---|---|---|---|---|
Model | b(Treat) | se | AIC | Difference |
Ignore clustering N/S gradient only | -0.660 | 0.141 | 1245.57 | 0.00 |
Ignore clustering + N/S + E/W | -0.651 | 0.141 | 1247.09 | 1.53 |
Rand Pract + N/S | -0.655 | 0.148 | 1247.48 | 1.91 |
Rand Pract + N/S + E/W | -0.646 | 0.148 | 1249.03 | 3.46 |
Ignore clusteringa | -0.618 | 0.138 | 1254.50 | 8.93 |
Robust se (pract as cluster) | -0.618 | 0.164 | 1254.50 | 8.93 |
Rand Practb | -0.629 | 0.167 | 1255.29 | 9.73 |
Rand Pract + MM | -0.609 | 0.158 | 1256.92 | 11.35 |
LR test for random effect, model (a) vs model (b): chisquared 2(01) = 0.06 P = 0.4017