Table 4.
Path model for the simple mediating effect of loneliness on the relationship between life satisfaction and Instagram addiction among university students (N = 954).
| Type | Effect | B | SE | 95% BCa CI | β | z | p | |
|---|---|---|---|---|---|---|---|---|
| LL | UL | |||||||
| Indirect | Life sat. ⇒ Lonel. ⇒ Instagram | −0.04 | 0.01 | −0.07 | −0.01 | −0.04 | −2.75 | 0.006 |
| Component | Life sat. ⇒ Lonel. | −0.22 | 0.02 | −0.25 | −0.19 | −0.43 | −14.50 | <0.001 |
| Lonel. ⇒ Instagram | 0.18 | 0.06 | 0.06 | 0.31 | 0.10 | 2.85 | 0.004 | |
| Direct | Life sat. ⇒ Instagram | −0.09 | 0.04 | −0.16 | −0.02 | −0.09 | −2.49 | 0.013 |
| Total | Life sat. ⇒ Instagram | −0.13 | 0.03 | −0.19 | −0.07 | −0.13 | −4.19 | <0.001 |
Note. Instagram = Instagram addiction, Lonel. = Loneliness, Life sat. = life satisfaction, CI = confidence interval, LL = lower level, UL = upper level. Confidence intervals computed with Bias corrected bootstrap method (BCa). Betas are completely standardized effect sizes.