Path significance from the bootstrap analysis of 10,000 subsamples
| Path coefficients | 90% PBCI (paths) | Significance (p < 0.005) | f2 | |
|---|---|---|---|---|
| Satisfaction (2nd order) → Loyalty | 0.295 | [0.169; 0.417] | Yes | 0.267 |
| Tangibles → Loyalty | 0.026 | [−0.183; 0.220] | No | 0.000 |
| Reliability → Loyalty | −0.006 | [−0.216; 0.228] | No | 0.000 |
| Responsiveness → Loyalty | 0.177 | [−0.047; 0.395] | No | 0.008 |
| Assurance → Loyalty | 0.090 | [−0.113; 0.315] | No | 0.002 |
| Empathy → Loyalty | 0.071 | [−0.088; 0.221] | No | 0.002 |
| Path coefficients | 90% PBCI (paths) | Significance ( | ||
|---|---|---|---|---|
| Satisfaction (2nd order) → Loyalty | 0.295 | [0.169; 0.417] | Yes | 0.267 |
| Tangibles → Loyalty | 0.026 | [−0.183; 0.220] | No | 0.000 |
| Reliability → Loyalty | −0.006 | [−0.216; 0.228] | No | 0.000 |
| Responsiveness → Loyalty | 0.177 | [−0.047; 0.395] | No | 0.008 |
| Assurance → Loyalty | 0.090 | [−0.113; 0.315] | No | 0.002 |
| Empathy → Loyalty | 0.071 | [−0.088; 0.221] | No | 0.002 |
Note(s): (1) PBCI: Percentile bootstrap confidence interval. Bootstrapping based on n = 10,000 subsamples. (2) A one-tailed test for a t-student distribution (PBCI 90%) is applied to evaluate the hypothesized paths
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