Summary results on predictive power of the two models (unmediated and mediated)
| No | Measurement model index | Threshold (Hair et al., 2021) | Model 1 (without mediator) | Model 2 (with mediator) | Conclusion on fit index |
|---|---|---|---|---|---|
| 1 | Standardized root mean-square residual (SRMR) | SRMR) (<0.1) | 0.064 | 0.056 | Enhanced |
| 2 | Normed Fit index (NFI) | (NFI) (Range 0 < x ≤ 1) | 0.768 | 0.775 | Enhanced |
| 3 | Unweighted least squares discrepancy (dUSL) | (dUSL) (>1.0) | 1.784 | 2.326 | Enhanced |
| 4 | Dillon Goldstein Geodesic discrepancy (DG) | (DG) pc (>0.7) | 0.612 | 0.817 | Enhanced |
| 5 | Coefficient of determination (R2) | R2 | 0.525 | 0.582 | Enhanced |
| No | Measurement model index | Threshold ( | Model 1 (without mediator) | Model 2 (with mediator) | Conclusion on fit index |
|---|---|---|---|---|---|
| 1 | Standardized root mean-square residual (SRMR) | SRMR) (<0.1) | 0.064 | 0.056 | Enhanced |
| 2 | Normed Fit index (NFI) | (NFI) (Range 0 < x ≤ 1) | 0.768 | 0.775 | Enhanced |
| 3 | Unweighted least squares discrepancy (dUSL) | (dUSL) (>1.0) | 1.784 | 2.326 | Enhanced |
| 4 | Dillon Goldstein Geodesic discrepancy (DG) | (DG) pc (>0.7) | 0.612 | 0.817 | Enhanced |
| 5 | Coefficient of determination ( | 0.525 | 0.582 | Enhanced |
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