Children born in July and August: a study on the age regulation in primary school and student’s education access and development

The Journal of Chinese Sociology

Table 5 OLS regression model of weekly tutoring time of youth during summer and winter holidays (N = 2313)

Independent variables	Unstandardized regression coefficient	SE of B	Sig.
(Constant)	3.391***	.693	.000
Male	−.233	.127	.066
Birth month	−.923	.531	.083
Birth month²	.221	.128	.085
School type⁴	−.001	.001	.227
Male × school type⁴ × birth month	.003*	.001	.021
Male × school type ⁴ × birth month²	−.001*	.000	.017
Family monthly income(yuan)	−.120	.074	.104
Grade	−.889*	.393	.024
Grade²	.115	.066	.083
Grade × family monthly income	.198***	.061	.001
Grade² × family monthly income	−.034***	.010	.001
Temperament—active learner	.201***	.063	.001
Temperament—extroverted	.182**	.070	.010
Temperament—self-disciplined	−.314***	.062	.000
Only child	.174	.091	.056
R ²	.070
Adjusted R ²	.064
Significance level of model	.000

Note: (i)Tutoring time is obtained from the question “Average tutoring time during summer and winter holidays”; data is subsequently standardized. Temperament factor is obtained through scale of attitude and behavior; (ii) based on Chinese high school education resource allocation, we investigated different schools of the surveyed teenagers. We categorized education resource allocation as 1 = key class of key school; 2 = ordinary class of key school; 3 = key class of ordinary school; 4 = ordinary class of ordinary school. Now, the school type is no longer a fixed nominal level variable but an ordinal level variable. Thus, we could conduct data conversion and regression
*P < 0.05, **P < 0.01, ***P < 0.001