Table 3.
Model 1 (N = 599) | Model 2 (N = 527) | |||
---|---|---|---|---|
| ||||
Intercept | Slope | Intercept | Slope | |
Poisson Model (log odds of inflated zero | ||||
| ||||
In a Relationship | - | - | 1.72** | -0.25* |
Relationship Fear | - | - | -0.32* | 0.07* |
Relationship Control | - | - | -0.05 | 0.04* |
Means | -3.06*** | 0.44*** | -1.45 | 0.16 |
Variance | 11.42*** | 1.63*** | 6.87*** | 0.23*** |
COV | -1.66*** | -1.04*** | ||
| ||||
Logit Model (log count from Poisson | ||||
| ||||
In a Relationship | - | - | -0.54 | 0.12 |
Relationship Fear | - | - | 0.04 | 0.01 |
Relationship Control | - | - | -0.02 | -0.01 |
Means | - | .02 | - | -0.07 |
Variance | - | - | - | - |
| ||||
Model Fit Statistics
| ||||
Number of Free | 7 | 19 | ||
AIC | 8047.25 | 7388.13 | ||
BIC | 8078.02 | 7469.21 | ||
Log-Likelihood | -4016.63 | -3575.07 |
Note. Standard errors are calculated by robust estimation. “-“ indicates parameters not in the model or fixed to 0. Standard errors are calculated by robust estimation. COV = error variance; AIC = Akaike’s Information Criterion; BIC = Bayesian Information Criterion.
p <.001,
p <.01