Predictors of happiness among retired from urban and rural areas in Brazil

Psicologia: Reflexão e Crítica

Psychology: Research and Review

Table 3 Structural equation models predicting happiness with random effects and fixed effects according to group (rural/urban)

Effects	Model 3	Model 4
	Fixed and random slopes	Fixed items parameters (multi-group) and free regression coefficients for groups
	Fixed and random slopes	Rural (n = 145)		Urban (n = 134)
	B	B	Beta	B	Beta
P1: Social support → Happiness	0.27 (0.11)*^,a interc.	0.32 (0.09)*^,b	0.38	0.16 (0.07) *^,b	0.18
EconomicS → Happiness	0.10 (0.07)^ns	0.20 (0.09)*^,b	0.20	0.05 (0.12)^ns,b	0.04
HealthA → Happiness	0.36 (0.08)*^,b	0.28 (0.08)*^,b	0.35	0.45 (0.13)*^,b	0.44
Group → P1	−0.07 (0.14)^ns

Note: Variables of social support and happiness were configured as latent. Group (1 = rural; 2 = urban)
EconomicS assessment of economic situation, HealthA health assessment, interc. intercept of a random effect, P1 random parameter/effect 1, ns non-significant (p > 0.05)
*p < 0.05
^aRandom effect
^bFixed effect