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

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

Effects Model 3 Model 4
Fixed and random slopes Fixed items parameters (multi-group) and free regression coefficients for groups
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     
  1. Note: Variables of social support and happiness were configured as latent. Group (1 = rural; 2 = urban)
  2. 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)
  3. *p < 0.05
  4. aRandom effect
  5. bFixed effect