Table 2.
Clustered multiple linear regression models explaining RAS by sociodemographic factors, sexual behavior factors, and family function (n = 284)
| Independent variables∗ | Betaφ | P Level | Adjusted R2† | Independent contribution‡% |
|---|---|---|---|---|
| Cluster 1 | ||||
| Age groups (21~30) | −0.165 | 0.045 | ||
| Age groups (31~44) | −0.218 | 0.012 | ||
| Total | 0.037 | 13.0 | ||
| Cluster 2 | ||||
| Sexual satisfaction | 0.215 | 0.006 | ||
| Quality of sexual life (good) | 0.183 | 0.010 | ||
| Total | 0.146 | 38.2 | ||
| Cluster 3 | ||||
| Family function (good) | 0.544 | <0.001 | ||
| Total | 0.285 | 48.8 |
RAS = the Relationship Assessment Scale.
Enter regression was applied in the multiple linear regression analysis.
Only variables with P < .05 were included in the model.
Beta is the standardized regression coefficient derived from the multiple linear regression, indicating the change in standard units of dependent variable for each increase of 1 standard unit in the independent variable, controlling for all other independent variables. Adjusted R2: adjusted coefficient of determination.
The independent contribution of each cluster of predictors to the variation in RAS calculated as individual corresponding R2change/total R2 change in each final model × 100%.