Medical career expectations of academically talented high school students: a nationwide cross-sectional study in China

Table 4 Summary results of the Logit model estimations

	Logit model 1	Logit model 2	Logit model 3	Logit model 4
Dependent variable	MCE
Male	−0.342***	− 0.436***	− 0.681***	− 0.753***
Male	[0.039]	[0.042]	[0.168]	[0.046]
Urban	−0.126**	−0.103*	− 0.264*	−0.072
Urban	[0.054]	[0.055]	[0.152]	[0.061]
Father’s years of schooling	0.01	0.012	0.009	0.009
Father’s years of schooling	[0.009]	[0.009]	[0.027]	[0.010]
Mother’s years of schooling	−0.021**	− 0.019**	− 0.042	− 0.025**
Mother’s years of schooling	[0.009]	[0.009]	[0.027]	[0.010]
Father’s ISEI	−0.006***	−0.005***	− 0.002	−0.006***
Father’s ISEI	[0.001]	[0.001]	[0.004]	[0.002]
Mother’s ISEI	0.00	0.00	−0.002	0.00
Mother’s ISEI	[0.001]	[0.001]	[0.004]	[0.002]
High-income family	−0.277***	−0.265***	− 0.219	−0.242***
High-income family	[0.081]	[0.083]	[0.258]	[0.091]
Middle-income family	0.002	0.014	0.095	0.003
Middle-income family	[0.050]	[0.051]	[0.148]	[0.057]
Score for Chinese		−0.004***	−0.002	− 0.001
Score for Chinese		[0.001]	[0.002]	[0.001]
Score for mathematics		0.004***	0.009***	−0.004***
Score for mathematics		[0.001]	[0.002]	[0.001]
Score for English		−0.003***	−0.007***	− 0.002*
Score for English		[0.001]	[0.002]	[0.001]
Score for liberal arts			−0.013***
Score for liberal arts			[0.003]
Score for science				− 0.003***
Score for science				[0.001]
Constant	−0.655***	− 0.525***	− 0.924***	0.396***
Constant	[0.078]	[0.085]	[0.243]	[0.100]
LR chi2(12)	206.34	276.14	102.55	505.54
Prob > chi2	0.000	0.000	0.000	0.000
Pseudo R2	0.013	0.017	0.044	0.039
Observations	16,479	15,794	4209	11,585

ISSN: 1472-6920