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Table 3 Regression results of factors influencing cultural capital investment

From: From capital to habitus: class differentiation of family educational patterns in urban China

Variables Model 1 (NBR) Model 2 (OLS) Model 3 (logistic)
Cultural activities Books in the home Shadow education
  B (S.E.) B (S.E.) B (S.E.)
Constant −0.341 (0.166)* −37.62 (12.42)* −3.961 (0.504)***
Eighth gradera −0.256 (0.049)*** 13.598 (4.174)** −0.659 (0.144)***
Male studentb −0.054 (0.018)** −0.575 (2.638) −0.234 (0.062)***
Han studentc 0.097 (0.065) 6.654 (5.351) 0.355 (0.186)
Father interviewedd −0.048 (0.021)* −3.574 (2.796) 0.353 (0.079)***
Urban parente 0.181 (0.034)*** 19.829 (3.313)*** 0.772 (0.097)***
Parental higher edu.f 0.055 (0.028)* 57.332 (4.470)*** 0.415 (0.115)***
Ln of per family income 0.162 (0.021)*** 8.638 (1.514)*** 0.504 (0.065)***
Parents’ occu. classg    
 Upper middle class 0.126 (0.029)*** 24.620 (4.757)*** 0.423 (0.117)***
 Lower middle class 0.084 (0.028)** 7.979 (3.281)* 0.368 (0.079)***
Parents’ subjective classh    
 Upper middle class 0.168 (0.038)*** 23.416 (3.919)*** 0.154 (0.125)
 Lower middle class 0.076 (0.039)* 4.320 (4.340) 0.176 (0.126)
 Unable to classify 0.109 (0.037)** 8.138 (4.224) −0.015 (0.118)
  1. Table 3 includes negative binomial regression of participation in cultural activities, OLS regression of number of books in the home, and logistic regression of attendance at shadow education. N = 5411. The reference categories for each variable are as follows: afourth grader, bfemale, cminority, dmother, erural households, fdid not receive higher education, goccupational lower class, and hsubjective lower class. Coefficients in the table are nonstandardized regression coefficients; standard errors in parentheses are robust standard errors controlling for classroom cluster effects
  2. *p < 0.05, **p < 0.01, ***p < 0.001