Table 4.

Results of the logistic regression analysis

Models
1234
Models successBS.E.WalddfExp
(B)
BS.E.WalddfExp
(B)
BS.E.WalddfExp
(B)
BS.E.WalddfExp
(B)
Board size−0.130.101.6610.88−0.150.112.0010.86−0.070.11.210.94−0.12**0.063.6210.89
PERWOMEN0.05***0.027.0011.05     0.04****0.010.111.27     
AGE (1)0.610.571.1611.84−0.810.562.0610.450.240.50.210.790.270.530.2511.31
Country  12.304   16.114           
Country (1)−1.73**0.824.4310.18−2.21***0.817.4610.11          
Country (2)−1.300.832.4810.27−2.33***0.847.6510.10          
Country (3)−2.50**0.858.6610.08−2.18***0.817.3510.11          
Country (4)0.180.940.0411.19−1.121.031.1810.33          
TWOMEN     −0.010.180.0011.01     0.140.121.3711.15
Constant−2.061.382.2410.13−0.191.110.0310.83−3.13****1.010.710.04−1.76**0.775.2510.17
Cox and Snell R-square0.0960.0730.0470.16
Nagelkerke R-square0.2300.1750.1120.039
Chi-square30.366***22.839***14.332**4.930***
Classification % correct9292.392.392.3

Notes:

The levels of significance are *p < 0.1; **p < 0.05; ***p < 0.01; ****p < 0.001

Source: Authors’ own creation

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