Skip to main content
. Author manuscript; available in PMC: 2013 Dec 1.
Published in final edited form as: J Res Pers. 2012 Sep 28;46(6):634–645. doi: 10.1016/j.jrp.2012.07.005

Table 4.

Stable Trait (ST), Autoregressive Trait (ART), and State (S) Variances and the Size of the Autoregressive (AR) Path Coefficient for the STARTS Models Evaluated

Variance Components (and 95% Confidence Intervals) AR Path Coefficient
Stable Trait AR Trait State
Model Estimate 95% CI Estimate 95% CI State 95% CI Estimate 95% CI
2. Basic
STARTS		 43.1% 33.7%
to
50.5%		 39.4% 31.7%
to
45.6%		 17.6% 9.8% to
24.8%
 .765 .646 to .864
3. Constant Ratio
for the Variances		 41.1% 28.0%
to
49.9%		 41.7% 33.5%
to
48.5%		 17.2% 10.5% to
24.0%		 .810 .684 to .898
4. Increasing
Stability		 35.8% 22.6%
to
44.3%		 48.1% 39.8%
to
56.5%		 16.1% 9.0% to
22.5%		 .868a .773 to .926
5. Increasing
Stability and
Constant Ratio
for the Variances		 35.1% 22.1%
to
44.1%		 49.0% 40.2%
to
57.6%		 15.9% 10.1% to
21.7%		 .886a .794 to .934

Note: AR Trait = Autoregressive Traits. All variances and AR coefficients are greater than zero (p < .05). 95% Confidence Intervals are based on bias-corrected bootstrapped estimates using 500 draws.

a

For models in which the AR stability coefficient were allowed to increase with age (Models 4 and 5), the reported coefficient is the estimate between ages 21 and 22.