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

Table 4

Logit regression analysis of educational expectations.

Variables	Model 4		Model 5		Model 6
	B	SE	B	SE	B	SE
Gender (female for reference)	0.130	0.088	0.001	0.088	0.179	0.111
Child type (left-behind children for reference)
Children in rural complete families	0.325	0.106	0.295	0.107	0.209	0.136
Migrant children	0.366	0.140	0.477	0.146	0.374	0.174
Urban children	1.118	0.156	1.061	0.158	1.453	0.211
Father’s education level (elementary school and below for reference)
Junior high school	0.494	0.096	0.470	0.097	0.509	0.123
High school and equivalent	0.829	0.139	0.947	0.148	0.594	0.172
University and above	2.657	0.552	2.554	0.551	2.145	0.684
Father’s occupational category (farmers and manual workers for reference)
Service personnel and skilled workers	−0.073	0.101	−0.093	0.101	0.027	0.127
Clerks, private entrepreneur, or self-employed industrialists	−0.287	0.139	−0.145	0.145	−0.232	0.173
Management and professional and technical staff	0.197	0.254	0.237	0.253	1.295	0.405
Number of children aged 0–15 years in the family	−0.242	0.052	−0.226	0.053	−0.341	0.070
Per capita household income in 2011 (thousand dollars)	0.031	0.007	0.032	0.007	0.026	0.009
Cognitive level	0.029	0.003	0.026	0.003	0.021	0.004
Constant term	−2.669	0.339	−2.272	0.349	−1.748	0.423
	−2LL = 3292.314, Pseudo R^2 = 0.150, Prob > chi^2 = 0.000, N = 2888		−2LL = 3187.933, Pseudo R^2 = 0.145, Prob > chi^2 = 0.000, N = 2843		−2LL = 2063.8722, Pseudo R^2 = 0.155, Prob > chi^2 = 0.000, N = 1744

Notes. , , .