Table 2.
Model fit and latent-class estimation for latent variable mixture models
| Estimated model | ||||||
|---|---|---|---|---|---|---|
| 39 items | 16 items | 9 items | ||||
| 1-class model | 2-class model | 1-class model | 2-class model | 1-class model | 2-class model | |
| BIC | 77000 | 75287 | 27268 | 26781 | 13862 | 13942 |
| Latent factor distribution | ||||||
| Mean | 0.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 |
| Standard deviation | 0.97 | 0.95 | 0.92 | 0.87 | 0.85 | 0.76 |
| Skewness | −0.04 | 0.18 | 0.40 | 0.75 | 0.88 | 0.88 |
| Kurtosis | −0.80 | −0.75 | −0.92 | −0.48 | −0.37 | −0.37 |
| Test of bivariate residuals | ||||||
| # of item pairs | 741 | 741 | 120 | 120 | 36 | 36 |
| % <0.05a | 45.2 | 9.5 | 30.0 | 5.0 | 8.3 | 0.0 |
| Entropy | – | 0.85 | – | 0.71 | – | 0.66 |
| Class proportions | ||||||
| Class 1 | – | 0.64 | – | 0.74 | – | 0.75 |
| Class 2 | – | 0.36 | – | 0.26 | – | 0.25 |
aAdjusted for multiple comparisons using Bonferroni correction (corresponding with the number of item pairs being tested)