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Table 4 Summary results of the Logit model estimations

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

 Logit model 1Logit model 2Logit model 3Logit model 4
Dependent variableMCE
Male−0.342***− 0.436***− 0.681***− 0.753***
[0.039][0.042][0.168][0.046]
Urban−0.126**−0.103*− 0.264*−0.072
[0.054][0.055][0.152][0.061]
Father’s years of schooling0.010.0120.0090.009
[0.009][0.009][0.027][0.010]
Mother’s years of schooling−0.021**− 0.019**− 0.042− 0.025**
[0.009][0.009][0.027][0.010]
Father’s ISEI−0.006***−0.005***− 0.002−0.006***
[0.001][0.001][0.004][0.002]
Mother’s ISEI0.000.00−0.0020.00
[0.001][0.001][0.004][0.002]
High-income family−0.277***−0.265***− 0.219−0.242***
[0.081][0.083][0.258][0.091]
Middle-income family0.0020.0140.0950.003
[0.050][0.051][0.148][0.057]
Score for Chinese −0.004***−0.002− 0.001
 [0.001][0.002][0.001]
Score for mathematics 0.004***0.009***−0.004***
 [0.001][0.002][0.001]
Score for English −0.003***−0.007***− 0.002*
 [0.001][0.002][0.001]
Score for liberal arts  −0.013*** 
  [0.003] 
Score for science   − 0.003***
   [0.001]
Constant−0.655***− 0.525***− 0.924***0.396***
[0.078][0.085][0.243][0.100]
LR chi2(12)206.34276.14102.55505.54
Prob > chi20.0000.0000.0000.000
Pseudo R20.0130.0170.0440.039
Observations16,47915,794420911,585
  1. Standard errors in brackets; *** p < 0.01, ** p < 0.05, * p < 0.1.