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. 2022 Jul 28;198:111827. doi: 10.1016/j.paid.2022.111827

Table 2.

Results from multilevel models predicting depressive symptoms.

Effect Depressive Symptoms
Unconditional Model Main Effects Model Interaction Model
Fixed effects
Intercept γ^00 12.23⁎⁎⁎ (0.11) 13.10⁎⁎⁎ (0.21) 13.02⁎⁎⁎ (0.21)
Gender (Men) γ^01 −0.11 (0.22) −0.14 (0.22)
Gender (Other) γ^02 1.06 (0.53) 1.04 (0.53)
Age γ^03 0.05 (0.05) 0.04 (0.05)
College Degree γ^04 −0.62⁎⁎⁎ (0.17) −0.62⁎⁎⁎ (0.17)
Country (Canada) γ^05 −0.99⁎⁎⁎ (0.17) −0.98⁎⁎⁎ (0.17)
PM Pandemic Stressors γ^06 2.76⁎⁎⁎ (0.06) 2.77⁎⁎⁎ (0.06)
Neuroticism γ^07 1.77⁎⁎⁎ (0.08) 1.76⁎⁎⁎ (0.08)
PM Pandemic Stressors × Neuroticism γ^08 0.16⁎⁎ (0.06)
PC Pandemic Stressors γ^10 0.93⁎⁎⁎ (0.02) 0.93⁎⁎⁎ (0.02)
PC Pandemic Stressors × Neuroticism γ^11 0.08⁎⁎⁎ (0.02)
Time γ^20 −0.04⁎⁎⁎ (0.01) −0.04⁎⁎⁎ (0.01)



Random effects
Variance
 Level 1 σ^2 36.32 11.50 11.50
 Level 2 τ^00 13.65 14.81 14.78
τ^11 0.48 0.48
τ^22 0.04 0.04



Goodness of Fit
AIC 232,690.9 222,353.9 222,348.4
BIC 232,716.8 222,508.9 222,520.7

Note. Standard errors are in parentheses. All models fit using restricted maximum likelihood (REML) estimation. In the main effects and interaction models, slopes of time and PC pandemic stressors were free to vary. PM = person-mean, PC = person-centered.

p < .05.

⁎⁎

p < .01.

⁎⁎⁎

p < .001.