Table 2.
# pathways |
LL | BIC | % reduction in BIC |
LMR p-value |
Entropy |
---|---|---|---|---|---|
2 | −66800 | 134352 | 61% | 0.000 | 0.96 |
3 | −59888 | 120979 | 10% | 0.000 | 0.98 |
4 | −56201 | 114058 | 6% | 0.000 | 0.98 |
5 | −54133 | 110376 | 3% | 0.182 | 0.98 |
6 | −52305 | 107171 | 3% | 0.098 | 0.97 |
7 | −50374 | 103761 | 3% | 0.037 | 0.97 |
Notes: The percent reduction in BIC is based on the model allowing one fewer class. The LMR p-value refers to the p-value from the Lo-Mendell-Rubin test statistic from the unconditional latent class model. The test statistic concerns whether the model with a given number of classes has a significantly better fit with the data than the model with one fewer class.