Table 4.

Longitudinal multilevel regression models: personality and age stereotypes as predictors of changes in AARC gains and losses.

Model Estimates	AARC Gains (General)	AARC Losses (General)
Fixed Regression Coefficients
Intercept [SE]	3.002*** [0.056]	2.210*** [0.041]
Age [SE]	0.008* [0.003]	0.013*** [0.001]
Gender [SE]	0.116 [0.070]	−0.030 [0.052]
Education [SE]	0.023 [0.017]	0.007 [0.013]
Self-Rated Health [SE]	0.033 [0.042]	0.218*** [0.031]
Age Stereotypes [SE]	0.077* [0.036]	−0.086** [0.027]
Neuroticism [SE]	0.141* [0.059]	0.332*** [0.044]
Extraversion [SE]	0.107 [0.066]	−0.041 [0.049]
Openness [SE]	0.147* [0.074]	−0.071 [0.055]
Agreeableness [SE]	0.017 [0.077]	0.085 [0.057]
Conscientiousness [SE]	0.186** [0.067]	−0.059 [0.050]
Age Stereotypes × Neuroticism [SE]	0.103* [0.049]
Linear slope 2012–2020 [SE]	−0.004*** [0.001]	−0.001 [0.001]
Age × Slope [SE]	−0.000* [0.000]	−0.000* [0.000]
Gender × Slope [SE]	0.001 [0.001]	−0.001 [0.001]
Education × Slope [SE]	−0.001* [0.000]	−0.000 [0.000]
Health × Slope [SE]	0.002* [0.001]	0.000 [0.001]
Age Stereotypes × Slope [SE]	−0.000 [0.001]	−0.001 [0.001]
Neuroticism × Slope [SE]	0.000 [0.002]	−0.002* [0.001]
Extraversion × Slope [SE]	−0.000 [0.001]	0.000 [0.001]
Openness × Slope [SE]	−0.001 [0.001]	0.002 [0.001]
Agreeableness × Slope [SE]	0.001 [0.001]	0.001 [0.001]
Conscientiousness × Slope [SE]	−0.002 [0.001]	−0.001 [0.001]
Random Variances
Variance Intercept [SE]	0.217*** [0.027]	0.113*** [0.015]
Variance Linear Slope [SE]	0.000 [0.000]	0.000 [0.000]
Cov. Intercept-Slope [SE]	0.001 [0.000]	0.000 [0.000]
Residual Variance [SE]	0.151*** [0.012]	0.094*** [0.008]
BIC	1,781.3	1,265.2
R 2	0.119	0.109

Time unit is months (since 2012). R² was computed according to Xu (83). AARC, Awareness of age-related change.

*p <0.05; **p <0.01; ***p <0.001.