Table 5.
Linear multiple regression predicting social media for social compensation.
| b | CI95% for b | β | r | sr 2 | ||
|---|---|---|---|---|---|---|
| Lower | Upper | |||||
| Predictor variables | ||||||
| Age | −0.06 | −0.18 | 0.05 | −0.06 | −0.07 | −0.06 |
| Gender | 0.20 | −0.03 | 0.43 | 0.10 | 0.13 | 0.10 |
| Femininity ideology | 0.28 | 0.10 | 0.45 | 0.18* | 0.23** | 0.18 |
| Masculinity ideology | 0.36 | 0.11 | 0.62 | 0.16* | 0.20** | 0.16 |
R2 = 0.09, Adjusted R2 = 0.08, F(4, 284) = 7.30, p < 0.001.
b, Unstandardized coefficient; CI, Confidence interval; ß, Standardized coefficient; r, Zero-order correlation; sr2, Squared part correlation. *p < 0.02. **p < 0.001.