. Author manuscript; available in PMC: 2016 Apr 3.

Published in final edited form as: Psychol Aging. 2015 Jan 26;30(1):136–148. doi: 10.1037/a0038757

Table 2.

Multilevel growth models for affect balance over chronological age and time-to-death

	Chronological age		Time-to-death

	Model 1		Model 1		Model 2

Variable	Estimate	SE	Estimate	SE	Estimate	SE
Fixed effects
Intercept	49.52^*	0.24	49.59^*	0.24	50.12^*	0.28
Linear slope	−0.23^*	0.03	−0.40^*	0.04	−0.49^*	0.05
Quadratic slope					−0.03^*	0.01
Random effects
Intercept	44.57^*	3.22	43.37^*	3.12	43.01^*	3.08
Linear slope					0.21^*	0.08
Intercept & slope covariance					1.01^*	0.33
Residual	54.59^*	3.03	53.87^*	2.95	50.08^*	2.16
Goodness of fit: AIC	19144		19099		19080
Pseudo R² Level 1	.04		.05		.12

Note. AIC = Akaike Information Criterion. Pseudo R² represents proportional change in residual variance compared with an unconditional means model. Estimates are unstandardized. Chronological age is centred at 80 years; time-to-death is centred at 6 years from death. Significance of random effects is based on 95% CIs.

p < .05.