Variable | Adjusteda | ||
Estimate | 95% CI | Model diagnostics | |
Model 1 |
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Self-efficacy | 0.08*** | 0.06, 0.12 | Pseudos r-square (negelkerke) = 14% |
−2log likelihood chi-square = 36.3*** | |||
Goodness of fit chi-square = 251.2b | |||
Model 2 | |||
System support | 0.06*** | 0.01, 0.10 | Pseudos r-square (negelkerke) = 7% |
−2log likelihood chi-square = 16.9** | |||
Goodness of fit chi-square = 239.6b | |||
Model 3 | |||
Professional role resistant/fear of offence | −0.03* | −0.07, −0.001 | Pseudos r-square (negelkerke) = 6% |
−2log likelihood chi-square = 13.5* | |||
Goodness of fit chi-square = 331.3b | |||
Model 4 | |||
Provider safety | 0.06* | 0.03, 0.13 | Pseudos r-square (negelkerke) = 6% |
−2log likelihood chi-square = 13.5* | |||
Goodness of fit chi-square = 215.6b | |||
Model 5 | |||
Victim safety | 0.10** | 0.04, 0.16 | Pseudos r-square (negelkerke) = 9% |
−2log likelihood chi-square = 21.1** | |||
Goodness of fit chi-square = 250.7b |