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. Author manuscript; available in PMC: 2020 Jul 1.
Published in final edited form as: Collabra Psychol. 2020 Apr 15;6(1):23. doi: 10.1525/collabra.297

Table 5:

Results of multilevel models predicting repetitive thought total (N=147, n=1017).

Null Model Model 1 Model 2 Model 3 Model 4

γ (SE) γ (SE) γ (SE) γ (SE) γ (SE)
Fixed effects
Intercept 0.146 (0.308) 1.32* (0.48) 0.313 (0.329) 0.269 (0.286) 4.88* (2.01)
Age at study entry −0.10 (0.062) 0.005 (0.057) −0.029 (0.049) −0.061 (0.065)
Education −0.185 (0.126) −0.291* (0.128) −0.171 (0.114) −0.191 (0.130)
Practice effects −2.06* (0.690) −2.35* (0.722)
EF between −9.58* (3.19) −6.12 (3.45)
EF within 1.23 (2.40) 2.26 (3.51)
HRV between −0.278 (0.280) −0.072 (0.278)
HRV within −0.124 (0.075) 0.056 (0.112)
Subjective between −0.086** (0.017) −0.087** (0.020)
Subjective within −0.019 (0.010) −0.034 (0.025)
Random effects

Intercept SD 3.58 3.38 3.55 3.23 3.16
Residual SD 2.39 2.20 2.35 2.37 2.22
Model fit

LL −2528.5 −1201.9 −1571.6 −2431.1 −750.07
AIC 5063.0 2419.7 3157.2 4876.2 1524.1

Note. Results (Models 3 and 4) remain unchanged when excluding the observations that had inconsistent subjective self-regulation scores. EF = executive function; HRV = heart rate variability; LL = log likelihood; AIC =Akaike information criterion.

*

p < .05.

**

p < .001.