Table 2.

Coefficients of logit regression equations for predicting high vs. low inpatient satisfaction with nurses, doctors and environment.

Variables	Nurse satisfaction		Doctor satisfaction		Environmental satisfaction
	Model 1	Model 2	Model 1	Model 2	Model 1	Model 2
Constant	1.041**	1.411**	1.178**	1.588**	−0.759**	−0.435**
Gender (male = 1)	0.113**	0.081	0.038	−0.001	0.245**	0.211**
Education (academic =  1)	−0.159**	−0.115*	−0.150**	−0.102*	−0.235**	−0.187**
Ethnicity (Jew = 1)	−0.485**	−0.391**	−0.776**	−0.692**	−0.654**	−0.569**
Age	−0.005**	−0.007**	0.001	−0.001	0.009**	0.007**
Chronic (chronic = 1)	−0.084	−0.054	−0.101**	−0.070	−0.074	−0.033
Accommodation (room = 1)	0.598**	0.598**	0.358**	0.338**	0.504**	0.474**
Hospital choice(choice =  1)	0.210**	0.186**	0.249**	0.226**	0.172**	0.157**
No complaint	–	–	–	–	–	–
Complaint treatment	–	−1.135**	–	−1.265**	–	−0.650**
Complaint environment	–	−0.269**	–	−0.250**	–	−0.946**
Log likelihood	12386	11948.27	12387	11833.82	14681	14299.61
Cox & Snell R-square	0.022	0.060	0.024	0.072	0.034	0.067
Nagelkereke R-square	0.032	0.088	0.035	0.106	0.045	0.089
N = 11,198

*P < .05, **P < .000.