Regression results on the reflective authority profile (dependent variable: RAP)
| Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 | |
|---|---|---|---|---|---|---|
| Constant | −0.568*** (0.152) | −0.621*** (0.161) | −0.575*** (0.152) | −0.603*** (0.154) | −0.599*** (0.149) | −0.567*** (0.153) |
| BPOWER | −0.001 (0.001) | 0 (0.001) | −0.001 (0.001) | 0 (0.001) | 0 (0.001) | −0.001 (0.001) |
| AREA_RELIG | 0.053*** (0.017) | 0.066*** (0.022) | 0.055*** (0.017) | 0.056*** (0.017) | 0.059*** (0.017) | 0.053*** (0.018) |
| ROA | 154.572*** (36.591) | 157.327*** (36.697) | 146.137*** (36.892) | 152.723*** (36.516) | 143.723*** (36.041) | 155.311*** (36.947) |
| RELIG | 2.568*** (0.972) | 1.686 (1.315) | 1.621 (1.17) | 2.98*** (1.021) | 3.19*** (0.982) | 2.599** (0.989) |
| COOP | 25.054*** (8.864) | 24.056*** (8.921) | 24.813*** (8.825) | 26.482*** (8.909) | 29.968*** (8.886) | 25.083*** (8.903) |
| RELIG × AREA_RELIG | 0.251 (0.252) | |||||
| RELIG × BPOWER | −0.019 (0.013) | |||||
| COOP × AREA_RELIG | −1.749 (1.359) | |||||
| COOP × BPOWER | 0.183** (0.073) | |||||
| RELIG × COOP | −17.093 (89.673) | |||||
| R-Sq | 0.404 | 0.409 | 0.414 | 0.412 | 0.435 | 0.404 |
| Adj. R-Sq | 0.378 | 0.378 | 0.384 | 0.382 | 0.405 | 0.373 |
| Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 | |
|---|---|---|---|---|---|---|
| Constant | −0.568*** (0.152) | −0.621*** (0.161) | −0.575*** (0.152) | −0.603*** (0.154) | −0.599*** (0.149) | −0.567*** (0.153) |
| BPOWER | −0.001 (0.001) | 0 (0.001) | −0.001 (0.001) | 0 (0.001) | 0 (0.001) | −0.001 (0.001) |
| AREA_RELIG | ||||||
| ROA | 154.572*** (36.591) | 157.327*** (36.697) | 146.137*** (36.892) | 152.723*** (36.516) | 143.723*** (36.041) | 155.311*** (36.947) |
| RELIG | 1.686 (1.315) | 1.621 (1.17) | ||||
| COOP | ||||||
| RELIG × AREA_RELIG | 0.251 (0.252) | |||||
| RELIG × BPOWER | −0.019 (0.013) | |||||
| COOP × AREA_RELIG | −1.749 (1.359) | |||||
| COOP × BPOWER | ||||||
| RELIG × COOP | −17.093 (89.673) | |||||
| 0.404 | 0.409 | 0.414 | 0.412 | 0.435 | 0.404 | |
| Adj. | 0.378 | 0.378 | 0.384 | 0.382 | 0.405 | 0.373 |
Note(s): Standard errors are reported in parentheses. *, ** and *** indicate significance at the 90%, 95% and 99% level, respectively. We conducted several diagnostic checks to assess the assumptions of Model 5. Residual plots confirmed the assumption of homoscedasticity. A histogram of residuals suggested approximate normality. Cook’s Distance revealed one outlier (Cook’s Distance = 0.83), the exclusion of which leave all findings and inferences qualitatively unchanged. No other data point exceeded the critical threshold of 0.5 (mean = 0.016). Multicollinearity was evaluated using the Variance Inflation Factor (VIF), with all predictor variables showing VIF values below 5 (VIFmax = 2.5)
Source(s): Authors’ own work