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Actual-format SPSS table output alongside researcher interpretation and academic writeup
| Model / Variable | B | Std. Error | Beta (β) | t | Sig. |
|---|---|---|---|---|---|
| (Constant) | 2.845 | 0.412 | — | 6.907 | .000 |
| Job Satisfaction | 0.524 | 0.078 | 0.398 | 6.718 | .000 |
| Organizational Commitment | 0.387 | 0.065 | 0.341 | 5.954 | .000 |
| Work-Life Balance | 0.215 | 0.071 | 0.176 | 3.028 | .003 |
| Compensation | 0.098 | 0.069 | 0.082 | 1.420 | .157 |
| Model | Sum of Squares | df | Mean Square | F | Sig. |
|---|---|---|---|---|---|
| Regression | 187.234 | 4 | 46.808 | 67.23 | .000 |
| Residual | 135.766 | 195 | 0.696 | — | — |
The regression model explains 52.4% variance (R² = .524) in employee performance. Adjusted R² = .511 accounts for number of predictors. The model is statistically significant, F(4,195) = 53.67, p < .001.
Job Satisfaction (β = .398, p < .001), Organizational Commitment (β = .341, p < .001), and Work-Life Balance (β = .176, p = .003) significantly predict the outcome variable.
Compensation (β = .082, p = .157) does not significantly contribute to the model, suggesting other factors may be more important.
H1, H2, and H3 are supported (p < .05). H4 is rejected as compensation showed no significant effect in this model.
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