Table 2 Parameter estimates
Happiness | SDQ total difficulties | |||||||
|---|---|---|---|---|---|---|---|---|
Females (n = 4765) | Males (n = 4903) | Females (n = 4762) | Males (n = 4901) | |||||
PE | 95% CI | PE | 95% CI | PE | 95% CI | PE | 95% CI | |
Model Intercepts | ||||||||
Well-being Intercept | 36.55 | (33.32, 39.78) | 38.40 | (35.20, 41.61) | 13.57 | (8.86, 18.27) | 10.44 | (5.54, 15.34) |
Well-being Slope | 1.65 | (− 0.01, 3.31) | 0.76 | (−1.00, 2.52) | 1.69 | (0.44, 2.93) | 0.78 | (− 0.40, 1.95) |
SMI intercept | 0.00 | 0.00 | 0.00 | 0.00 | ||||
SMI slope | 0.44 | (− 0.32, 1.20) | 0.47 | (− 0.26, 1.20) | − 0.17 | (− 0.71, 0.36) | 0.11 | (− 0.46, 0.68) |
Growth factor associations | ||||||||
Path A: Intercept SMI < −-> Intercept WBa | − 0.10 | (− 0.19, − 0.01) | −0.02 | (− 0.10, 0.07) | 0.18 | (0.08, 0.27) | 0.10 | (0.01, 0.19) |
Path B: Slope SMI < −-> Slope WBa | − 0.23 | (−0.36, − 0.09) | −0.02 | (− 0.15, 0.12) | 0.26 | (0.09, 0.43) | 0.17 | (−0.03, 0.36) |
Path C: Slope SMI < −- Intercept SMI | −0.08 | (− 0.13, − 0.04) | −0.14 | (− 0.17, − 0.11) | −0.08 | (− 0.13, − 0.04) | −0.14 | (− 0.17, − 0.11) |
Path D: Slope WB < −- Intercept WB | −0.08 | (− 0.12, − 0.04) | −0.07 | (− 0.11, − 0.03) | −0.10 | (− 0.15, − 0.05) | −0.08 | (− 0.12, − 0.03) |
Path E: Slope WB < −- Intercept SMI | −0.06 | (− 0.13, 0.01) | −0.004 | (− 0.05, 0.04) | 0.10 | (0.004, 0.19) | 0.03 | (−0.03, 0.10) |
Path F: Slope SMI < −- Intercept WB | −0.01 | (− 0.03, 0.001) | −0.01 | (− 0.02, 0.002) | 0.01 | (− 0.01, 0.02) | − 0.001 | (− 0.01, 0.01) |
Model fit | ||||||||
Loglikelihood | −43,001.75 | −42,831.53 | −31,170.95 | −31,064.01 | ||||
AIC | 86,111.50 | 85,771.06 | 62,449.90 | 62,236.02 | ||||
BIC | 86,289.24 | 86,121.94 | 62,799.19 | 62,586.86 | ||||