Table 4.

Multilevel Regression Predicting Positive Mood From Encounters With Diverse Ties and Diverse Activities

Variable	B	SE	B	SE
Fixed effects
Intercept	3.52***	0.57	3.47***	0.57
Encounters with diverse tiesa	0.04***	0.00	0.03***	0.00
Diverse activityb	—	—	0.02***	0.00
Covariates
Age	−0.01	0.01	−0.01	0.01
Genderc	−0.09	0.09	−0.08	0.09
Educationd	−0.02	0.03	−0.02	0.03
Physical healthe	0.12**	0.04	0.12**	0.04
Marital statusf	0.20*	0.09	0.20*	0.09
Minority statusg	0.10	0.10	0.10	0.10
Random effects
Intercept VAR (Level 2: day)	0.05***	0.00	0.05***	0.00
Intercept VAR (Level 3: participant)	0.46***	0.04	0.46***	0.04
Residual VAR	0.13***	0.00	0.13***	0.00
−2 log likelihood	7167.7		7164.4

Note. n = 313 participants, n = 6,262 assessments. The outcome variable was participants’ positive mood every 3 hr. Participants rated the extent to which they experienced three positive emotions (e.g., content, loved, calm) from 1 = not at all, to 5 = a great deal. We averaged participants’ ratings across these emotions.

^aWithin-person centered variable: the number of encounters with different types of social ties every 3 hr throughout the day (centered on the average of these encounters per participant).

^bThe total number of types of waking activities that participants had every 3 hr throughout the day (14 in total).

^c1 = male, and 0 = female.

^d1= no formal education, 2 = elementary school, 3 = some high school, 4 = high school, 5 = some college, 6 = college, 7= some post college education, 8 = advanced degree.

^e1 = poor, 2 = fair, 3 = good, 4 = very good, and 5 = excellent.

^f1= married, and 0 = not married.

^gCoded as 1= minority, and 0 = nonminority.

*p < .05. **p < .01. ***p < .001.