Table 1.

Multilevel models predicting daily negative affect.

	Model 1		Model 2		Model 3
Predictors	Coefficient	p	Coefficient	p	Coefficient	p
Intercept, π0
Intercept, β00	0.123 (0.006)	<0.001	0.123 (0.006)	<0.001	0.121 (0.008)	<0.001
Average negative events, β01	0.158 (0.016)	<0.001	0.155 (0.016)	<0.001	0.139 (0.016)	<0.001
Average positive events, β02	-0.041 (0.008)	<0.001	-0.034 (0.008)	<0.001	-0.031 (0.008)	<0.001
Reappraisal, β03	-	-	-0.026 (0.010)	0.010	-0.014 (0.008)	0.066
Age, β04	-	-	-	-	0.001 (0.0004)	0.001
Gender, β05	-	-	-	-	0.003 (0.008)	0.716
Neuroticism, β06	-	-	-	-	0.054 (0.008)	<0.001
Negative event slope, π1
Intercept, β10	0.165 (0.006)	<0.001	0.165 (0.006)	<0.001	0.149 (0.007)	<0.001
Reappraisal, β11	-	-	-0.033 (0.010)	<0.001	-0.019 (0.010)	0.049
Age, β12	-	-	-	-	-0.002 (0.0005)	<0.001
Gender, β13	-	-	-	-	0.024 (0.011)	0.022
Neuroticism, β14	-	-	-	-	0.050 (0.008)	<0.001
Positive event slope, π2
Intercept, β20	0.002 (0.005)	0.647	0.002 (0.005)	0.686	0.002 (0.005)	0.732
Reappraisal, β21	-	-	-0.005 (0.008)	0.550	-	-
Age, β22	-	-	-	-	-0.001 (0.0004)	0.030

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.