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. 2016 Jun 28;7:1000. doi: 10.3389/fpsyg.2016.01000

Table 2.

Multilevel models predicting daily positive affect.

Model 1
Model 2
Model 3
Predictors Coefficient p Coefficient p Coefficient p
Intercept, π0
Intercept, β00 2.723 (0.019) <0.001 2.726 (0.018) <0.001 2.714 (0.026) <0.001
Average negative events, β01 -0.521 (0.041) <0.001 -0.492 (0.040) <0.001 -0.409 (0.040) <0.001
Average positive events, β02 0.240 (0.026) <0.001 0.169 (0.026) <0.001 0.142 (0.025) <0.001
Reappraisal, β03 - - 0.339 (0.031) <0.001 0.291 (0.030) <0.001
Age, β04 - - - - 0.003 (0.001) 0.006
Gender, β05 - - - - 0.021 (0.036) 0.549
Neuroticism, β06 - - - - -0.183 (0.023) <0.001
Negative event slope, π1
Intercept, β10 -0.143 (0.009) <0.001 -0.143 (0.009) <0.001 -0.111 (0.012) <0.001
Reappraisal, β11 - - 0.008 (0.014) 0.576 - -
Gender, β12 - - - - -0.056 (0.017) 0.001
Positive event slope, π2
Intercept, β20 0.081 (0.010) <0.001 0.079 (0.010) <0.001 0.055 (0.013) <0.001
Reappraisal, β21 - - -0.036 (0.017) 0.037 -0.037 (0.017) 0.031
Gender, β22 - - 0.041 (0.020) 0.035

Standard errors are provided in parantheses. All continuous variables were grand-mean centered. For gender, male was coded as 0 and female was coded as 1.