. 2023 Feb 22;51(6):1265–1286. doi: 10.3758/s13421-023-01401-x

Table 3.

Multilevel models analyzing the distribution of affective tone of segments across the remembered life for all participants

	Model 0 (2 levels)		Model 0 (3 levels)		Model 1		Model 2		Model 3
	Estimate (SE)	95% CI	Estimate (SE)	95% CI	Estimate (SE)	95% CI	Estimate (SE)	95% CI	Estimate (SE)	95% CI
Fixed Part
Intercept	0.24* (0.01)	[0.22, 0.26]	0.24* (0.02)	[0.20, 0.27]	0.20* (0.02)	[0.16, 0.24]	0.13* (0.02)	[0.08, 0.18]	0.09* (0.03)	[0.04, 0.14]
Male					0.07* (0.03)	[0.01, 0.13]	0.07* (0.03)	[<0.01, 0.14]	0.07* (0.03)	[0.01, 0.14]
Age at Event Age at Event² Age at Event³ Age at Event⁴ Age at Event⁵							0.04* (<0.01)	[0.03, 0.05]	0.09* (0.01) −0.01* (<0.01)	[0.07, 0.11] [−0.01, −0.00]
Age
× Age at Event × Age at Event² × Age at Event³ × Age at Event⁴ × Age at Event⁵
Random Variances
Level 1 $σ_{e}^{2}$	0.48 (0.69)	[0.22, 0.26]	0.48 (0.69)	[0.68, 0.70]	0.48 (0.69)	[0.68, 0.70]	0.47 (0.69)	[0.68, 0.70]	0.47 (0.69)	[0.68, 0.70]
Level 2 $τ_{2}^{2}$	0.05 (0.22)	[0.21, 0.24]	0.02 (0.13)	[0.11, 0.15]	0.02 (0.13)	[0.11, 0.15]	0.02 (0.14)	[0.12, 0.15]	0.02 (0.14)	[0.12, 0.15]
Level 3 $τ_{3}^{2}$			0.03 (0.18)	[0.15, 0.21]	0.03 (0.17)	[0.15, 0.20]	0.04 (0.19)	[0.16, 0.21]	0.03 (0.19)	[0.16, 0.21]
Model Fit
Deviance	29955.65		29809.90		29805.21		29716.58		29696.32
Δχ²			145.75*		4.69*		88.63*		20.27*
df			1		1		1		1

	Model 4		Model 5		Model 6		Model 7
	Estimate (SE)	95% CI	Estimate (SE)	95% CI	Estimate (SE)	95% CI	Estimate (SE)	95% CI
Fixed Part
Intercept	0.05 (0.03)	[−0.01, 0.10]	0.06* (0.03)	[0.01, 0.12]	0.08* (0.03)	[0.03, 0.14]	0.30* (0.04)	[0.22, 0.37]
Male	0.07* (0.03)	[0.01, 0.14]	0.07* (0.04)	[0.01, 0.14]	0.07* (0.03)	[0.01, 0.13]	0.07* (0.03)	[0.02, 0.13]
Age at Event Age at Event² Age at Event³ Age at Event⁴ Age at Event⁵	0.18* (0.02) −0.05* (0.01) 0.004* (<0.01)	[0.14, 0.23] [−0.07, −0.03] [<0.01, 0.01]	0.12* (0.02) −0.00 (0.03) −0.01 (0.01) 0.00* (<0.01)	[0.04, 0.20] [−0.06, 0.05] [−0.02, <0.01] [−0.00, <0.01]	0.02 (0.06) 0.11* (0.06) −0.05* (0.02) 0.01* (<0.01) −0.00* (<0.01)	[−0.11, 0.14] [0.01, 0.24] [−0.10, −0.00] [0.00, 0.02] [−0.00, −0.00]	−0.30* (0.10) 0.40* (0.13) −0.19* (0.06) 0.04* (0.01) −0.002* (<0.01)	[−0.51, −0.07] [0.11, 0.65] [−0.30, −0.04] [<0.01, 0.06] [−0.00, −0.00]
Age							−0.12* (0.01)	[−0.15, −0.10]
× Age at Event × Age at Event² × Age at Event³ × Age at Event⁴ × Age at Event⁵							0.12* (0.03) −0.06* (0.03) 0.02 (0.01) −0.003* (<0.01) <0.01* (<0.01)	[0.06, 0.18] [−0.12, −0.00] [−0.00, 0.04] [−0.01, 0.00] [0.00, 0.00]
Random Variances
Level 1 $σ_{e}^{2}$	0.47 (0.69)	[0.68, 0.70]	0.47 (0.69)	[0.68, 0.69]	0.47 (0.69)	[0.68, 0.69]	0.47 (0.68)	[0.68, 0.69]
Level 2 $τ_{2}^{2}$	0.02 (0.13)	[0.12, 0.16]	0.02 (0.14)	[0.12, 0.16]	0.02 (0.13)	[0.11, 0.16]	0.02 (0.13)	[0.11, 0.15]
Level 3 $τ_{3}^{2}$	0.03 (0.18)	[0.15, 0.21]	0.03 (0.18)	[0.15, 0.21]	0.03 (0.18)	[0.15, 0.21]	0.03 (0.16)	[0.13, 0.19]
Model Fit
Deviance	29674.66		29671.38		29666.66		29516.38
Δχ²	21.66*		3.28*		4.72*		150.29*
df	1		1		1		6

CI = confidence interval (based on bootstrapping). <0.01 = values between 0 and 0.01. Variances are between segments ( $σ_{e}^{2}),$ life narratives ( $τ_{2}^{2}),$ and participants ( $τ_{3}^{2})$ . Age at event was baseline-centred and divided by 10, and age was divided by 10 and centred at the youngest age group (0.8 decades) to aid the estimation of higher-order effects. Sequentially adding predictors was tested with Δχ² tests based on model deviance (−2Log-Likelihood).

*p < .05, one-tailed