Skip to main content
. 2022 Oct 29:1–19. Online ahead of print. doi: 10.1007/s10942-022-00487-7

Table 3.

Model fit information of multiple mediation effects

Variables Chi-square/df GFI TLI CFI RMSR; 95%CI
Model 1 (WB) 2.48***/ df = 116 0.94 0.94 0.97 0.04; 95%CI [0.03;0.05]
Model 2 (LS) 3.25***/ df = 32 0.96 0.97 0.97 0.07;95%CI [0.05;0.08]
Model 3 3.07***/df = 85 0.93 0.96 0.97 0.07; 95%CI [0.06;0.08]
Model 4 7.76***/df = 85 0.86 0.88 0.88 0.12;95%CI [0.110;1.3]
Model 5 4.3***/df = 85 0.80 0.09 0.95 0.08;95%CI [0.74;0.91]
Model 6 3.12***/df = 85 0.91 0.96 0.97 0.07;95%CI [0.06;0.08]

***p < .001; LS Life satisfaction; WB: Psychological well-being. Model 1: Self-compassion is independent, hope is a mediator variable, and psychological well-being is dependent. Model 2: self-compassion is independent, hope is a mediator variable, predicting life satisfaction. Model 3: self-compassion is independent, hope is a mediator, predicting life satisfaction and psychological well-being. Model 4: Psychological well-being and life satisfaction are independents, hope is a mediator, and self-compassion is dependent. Model 5: Hope is dependent on psychological well-being, life satisfaction is independent, and self-compassion is the mediator. Model 6: Hope is independent, life satisfaction, psychological well-being are mediators in presenting self-compassion