On Class Difference in Educational Aspirations and Educational Expectations: A CUCDS-Based Social Analysis

Table 3

Logit regression analysis of educational aspirations.

Variables	Model 1		Model 2		Model 3
	B	SE	B	SE	B	SE
Gender (female as reference)	0.187	0.171	0.116	0.173	0.157	0.219
Type of children (left-behind children as reference)
Children in rural complete families	0.107	0.204	−0.012	0.209	0.001	0.258
Migrant children	0.305	0.291	0.132	0.297	0.747	0.407
Urban children	0.552	0.318	0.491	0.322	0.644	0.406
Father’s education level (elementary school and below as reference)
Junior high school	0.411	0.186	0.374	0.191	0.269	0.241
High school and equivalent	0.513	0.278	0.330	0.281	0.079	0.332
University and above	2.170	1.006	1.933	1.001	1.010	1.026
Father’s occupational category (farmers and manual workers as reference)
Service personnel and skilled workers	0.031	0.198	0.000	0.201	0.340	0.249
Clerks, private entrepreneur, or self-employed industrialists	−0.011	0.290	−0.046	0.294	0.180	0.350
Management and professional and technical staff	−0.202	0.449	−0.018	0.446	1.770	0.976
Number of children aged 0–15 years in the family	−0.106	0.095	−0.122	0.093	−0.236	0.124
Per capita household income in 2011 (thousand dollars)	0.002	0.011	0.005	0.011	−0.006	0.008
Cognitive level	0.041	0.006	0.040	0.007	0.031	0.007
Constant term	−1.337	0.617	−1.079	0.690	−0.202	0.804
	−2LL = 1151.623, Pseudo R^2 = 0.082, Prob > chi^2 = 0.000, N = 2888		−2LL = 1122.268, Pseudo R^2 = 0.071, Prob > chi^2 = 0.000, N = 2843		−2LL = 727.376, Pseudo R^2 = 0.073Prob > chi^2 = 0.000, N = 1744

Notes. , , .