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. 2019 Oct 1;3:e420–e428. doi: 10.1016/S2542-5196(19)30191-3

Table 1: Individual-level and school-level correlations between wave 1 gendered behaviour and individual-level correlates and the broader gendered environment and ecological correlates.

Female respondents Male respondents
Individual-level correlations
Peabody vocabulary test  0·07 (0·05 to 0·09) –0·05 (–0·07 to –0·02)
Overall GPA  0·09 (0·06 to 0·11) –0·14 (–0·17 to –0·12)
Mathematical GPA  0·08 (0·06 to 0·11) –0·14 (–0·17 to –0·11)
Household socioeconomic status  0·07 (0·05 to 0·10) –0·08 (–0·11 to –0·06)
Neighbourhood disadvantage –0·10 (–0·12 to –0·07)  0·08 (0·06 to 0·10)
Inerrant religious text  0·00 (–0·02 to 0·03) –0·01 (–0·03 to 0·01)
School-level variables
Peabody vocabulary test  0·40 (0·25 to 0·53) –0·24 (–0·39 to –0·07)
Household socioeconomic status  0·25 (0·09 to 0·40) –0·22 (–0·37 to –0·06)
Neighbourhood disadvantage –0·22 (–0·37 to –0·06)  0·23 (0·06 to 0·38)
Inerrant religious text –0·09 (–0·25 to 0·08) –0·17 (–0·32 to –0·01)
Proportion of mothers who graduated high –0·06 (–0·23 to 0·12)  0·09 (–0·09 to 0·27)
school
Gini coefficient in years of mother’s education  0·13 (–0·05 to 0·30) –0·24 (–0·40 to –0·06)

Data are correlation coefficients and 95% CI in parentheses. Gender designations as made by Add Health at wave 1. GPA=high-school grade-point average