A Systems View Across Time and Space
Table 5 Binary logistic regression model results
From: Barriers to Third Mission: organizational and individual antecedents
Explanatory variables | BARR1 Researcher barriers | BARR2 Partner barriers | BARR3 Process barriers |
|---|---|---|---|
POL&PROC | 0.034 | 0.038 | -0.991*** |
MANGCap | − 0.363 | 0.145 | 0.096 |
TRANSFCap | − 0.406* | − 0.247 | − 0.581** |
RECAll | 0.111 | 0.093 | 0.132 |
PRO&COM | − 0.106 | − 0.272 | − 0.357 |
INF | − 0.135 | − 0.363 | − 1.195*** |
RELCONS | − 0.108 | 0.220 | 0.870** |
CDyAREL | − 0.054 | − 0.356 | − 0.803*** |
MANAG | − 0.038 | − 0.135 | 0.626 |
CPasteur(1) | 0.033 | − 0.090 | 0.062 |
CEdison(1) | − 0.184 | − 0.278 | 0.820 |
CNN(1) | − 1.808** | − 0.481 | − 0.771 |
PRIVExp | − 0.072* | − 0.018 | − 0.041 |
PUBLExp | 0.065*** | 0.054*** | 0.107*** |
TUni | − 0.647* | − 0.565 | − 1.402*** |
PROFStat | |||
PROFStat 1 | − 0.998 | − 0.204 | − 1.324 |
PROFStat 2 | − 0.487 | 0.732 | − 1.202 |
PROFStat 3 | − 1.723* | − 0.502 | − 4.252*** |
PROFStat 4 | − 2.284 | − 0.715 | − 2.606 |
PROFStat 5 | − 1.510* | 0.140 | − 1.059 |
Constant | 6.550 | 3.558 | 9.792 |
Omnibus testing | |||
Chi-square | 40.257.688 | 24.954 | 85.556.265 |
p-value | 0.004633 | 0.203 | 0 |
Pseudo-R2 | |||
Logarithm of the likelihood -2 | 247.610.584 | 251.257 | 197.850.79 |
Nagelkerke | 0.235 | 0.153821 | 0.453 |
Hosmer and Lemeshow test | |||
Chi-square | 5.564 | 3.844.099 | 4.634 |
p-value | 0.695992 | 0.870908 | 0.796 |
Predictive capacity of the models | |||
Accuracy (IC 95%) | 72% | 66% | 76% |