Table 2.
Fit Indices and Estimates for Unconditional Linear Growth Models of Cannabis Use and Motivation Indices
| χ2 | df | CFI | RMSEA | AIC | SABIC | Intercept ݲ | Slope ݲ | Intercept σ2 | Slope σ2 | Cov (I/S) | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Cannabis use | 21.87 | 10 | 0.98 | 0.05 | 19,685.88 | 19,694.09 | 0.70** | 0.56** | 1502.36** | 122.91** | 0.08 |
| BMI | 0.02 | 1 | 1.00 | 0.00 | 1508.25 | 1514.49 | 0.90** | −0.22* | 0.69** | 0.07 | 0.01 |
Variance (σ2) estimates are unstandardized. All other estimates are presented in standardized metric.
**
p<0.001, *p<0.05.
AIC, Akaike information criterion; CFI, comparative fit index; Cov (I/S), covariance between intercept and slope; CU, cannabis use; df, degrees of freedom; RMSEA, root mean square error of approximation; SABIC, sample-size-adjusted Bayesian information criterion.