Results of prediction analysis
| Q2predict | PLS-SEM_RMSE | PLS-SEM_MAE | LM_RMSE | LM_MAE | Skewness | PLS-LM RMSE | PLS-LM MAE | |
|---|---|---|---|---|---|---|---|---|
| SAT1 | 0.11 | 1.06 | 0.821 | 1.067 | 0.843 | −0.689 | −0.007 | −0.022 |
| SAT2 | 0.122 | 1.03 | 0.8 | 1.039 | 0.824 | −0.456 | −0.009 | −0.024 |
| SAT3 | 0.117 | 1.068 | 0.823 | 1.078 | 0.843 | −0.453 | −0.01 | −0.02 |
| SAT4 | 0.148 | 0.981 | 0.763 | 1.002 | 0.799 | −0.443 | −0.021 | −0.036 |
| SAT5 | 0.124 | 1.057 | 0.815 | 1.067 | 0.845 | −0.531 | −0.01 | −0.03 |
| SAT6 | 0.126 | 0.977 | 0.793 | 0.988 | 0.806 | −0.333 | −0.011 | −0.013 |
| PLS-SEM_RMSE | PLS-SEM_MAE | LM_RMSE | LM_MAE | Skewness | PLS-LM RMSE | PLS-LM MAE | ||
|---|---|---|---|---|---|---|---|---|
| SAT1 | 0.11 | 1.06 | 0.821 | 1.067 | 0.843 | −0.689 | −0.022 | |
| SAT2 | 0.122 | 1.03 | 0.8 | 1.039 | 0.824 | −0.456 | −0.024 | |
| SAT3 | 0.117 | 1.068 | 0.823 | 1.078 | 0.843 | −0.453 | −0.02 | |
| SAT4 | 0.148 | 0.981 | 0.763 | 1.002 | 0.799 | −0.443 | −0.036 | |
| SAT5 | 0.124 | 1.057 | 0.815 | 1.067 | 0.845 | −0.531 | −0.03 | |
| SAT6 | 0.126 | 0.977 | 0.793 | 0.988 | 0.806 | −0.333 | −0.013 |
Note(s): SAT: Customer satisfaction items. According to the level of skewness, RMSE is the prediction error that should be considered, and therefore the data to be considered are those indicated in the column with values in italics
Source(s): Table by authors
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