Regression analysis
| Model 1 Experiment | Model 2 Agile experience | Model 3 Agile experience | Model 4 No agile experience | Model 5 No agile experience | |
|---|---|---|---|---|---|
| N = 4,196 | N = 2,973 | N = 2,973 | N = 1,048 | N = 1,048 | |
| Intercept | 2.246*** (0.022) | 2.212*** (0.026) | 3.502*** (0.130) | 2.297*** (0.043) | 1.776*** (0.167) |
| Agile vocabulary | 0.150*** (0.026) | 0.109*** (0.031) | 0.118*** (0.027) | 0.180*** (0.048) | 0.175*** (0.047) |
| Agile label | −0.004 (0.026) | −0.006 (0.031) | −0.029 (0.027) | −0.003 (0.047) | −0.008 (0.047) |
| Age | 0.003* (0.002) | 0.006* (0.003) | |||
| Tenure | 0.010*** (0.002) | 0.013** (0.004) | |||
| English proficiency | 0.019 (0.015) | 0.032 (0.026) | |||
| Management position | 0.058* (0.029) | 0.078 (0.048) | |||
| Agile experience | −0.416*** (0.015) | ||||
| Size of municipality | 0.000 (0.000) | 0.000 (0.000) | |||
| Adjusted R2 | 0.007 | 0.004 | 0.260 | 0.012 | 0.039 |
| Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | |
|---|---|---|---|---|---|
| N = 4,196 | N = 2,973 | N = 2,973 | N = 1,048 | N = 1,048 | |
| Intercept | 2.246*** (0.022) | 2.212*** (0.026) | 3.502*** (0.130) | 2.297*** (0.043) | 1.776*** (0.167) |
| Agile vocabulary | 0.150*** (0.026) | 0.109*** (0.031) | 0.118*** (0.027) | 0.180*** (0.048) | 0.175*** (0.047) |
| Agile label | −0.004 (0.026) | −0.006 (0.031) | −0.029 (0.027) | −0.003 (0.047) | −0.008 (0.047) |
| Age | 0.003* (0.002) | 0.006* (0.003) | |||
| Tenure | 0.010*** (0.002) | 0.013** (0.004) | |||
| English proficiency | 0.019 (0.015) | 0.032 (0.026) | |||
| Management position | 0.058* (0.029) | 0.078 (0.048) | |||
| Agile experience | −0.416*** (0.015) | ||||
| Size of municipality | 0.000 (0.000) | 0.000 (0.000) | |||
| Adjusted | 0.007 | 0.004 | 0.260 | 0.012 | 0.039 |
Note(s): Unstandardized regression coefficients are reported. Robust standard errors are given in parentheses. The variable “management position” is a dummy variable, where 1 = yes
*p < 0.05. **p < 0.01 ***p < 0.001