. Author manuscript; available in PMC: 2017 Sep 1.

Published in final edited form as: Psychol Aging. 2016 May 30;31(6):605–617. doi: 10.1037/pag0000101

Table 5.

Structural Equation Model Results for the Moderation Analyses to Predict Well-Being, by Age Group and Country

	< 65	≥ 65	U.S.	German	Full Sample

	B (se)	B (se)	B (SE)	B (se)	B (se)
FTP (Time 1)	.50 (.18)^**	.24 (.09)^**	.16 (.09)	.02 (.15)	.23 (.09)^*
AARC-Gains (Time 2)	.28 (.07)^***	.25 (.06)^***	.17 (.06)^**	.35 (.07)^***	.29 (.05)^***
AARC-Losses (Time 2)	−.43 (.09)^***	−.35 (.09)^***	−.21 (.08)^**	−.56 (.10)^***	−.41 (.06)^***
FTP x AARC-Gains	−.12 (.06)^*	−.06 (.02)^**	−.08 (.03)^**	−.14 (.07)^*	−.10 (.03)^**
FTP x AARC-Losses	.04 (.04)	.02 (.03)	−.028 (.02)	.01 (.05)	.03 (.03)
Model Fit (AIC)
Model without interaction terms					48798.70
Model with interaction terms added					48787.98
ΔAIC					10.72
Model Fit (BIC)
Model without interaction terms					49076.19
Model with interaction terms added					49074.01
ΔBIC					2.18

Notes.

<.05,

^**

<.01,

^***

<.001.

Unstandardized coefficients are reported. FTP = future time perspective; AARC = awareness of age-related change.