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. Author manuscript; available in PMC: 2019 Feb 1.
Published in final edited form as: Clin Endocrinol (Oxf). 2017 Dec 14;88(2):243–250. doi: 10.1111/cen.13522

Table 3.

Proportion of variance explained in quantitative and qualitative sex differences model

Males Females-Full Sample Females-Restricted



h2 c2 e2 h2 c2 e2 h2 c2 e2
Pubertal Status .36 (.13)** .05 (.09) .59 (.09)*** .03 (.07) .32 (.09)*** .65 (.09)*** .04 (.09) .46 (.12)*** .50 (.10)***

Testosterone .60 (.10)*** .08 (.07) .32 (.05)*** .06 (.10) .50 (.10)*** .44 (.06)*** .51 (.21)* .07 (.18) .42 (.11)***
Testosterone → Estradiol .05 (.05) .15 (.08) .08 (.03)* .09 (.11) .20 (.09)* .18 (.05)** .25 (.13) < .01 (.05) .10 (.07)
 Model Implied Correlations rA = .32 (.14)* - rE = .44 (.07)*** rA = .87 (.48) - rE = .51 (.08)*** rA = .90 (.30)** - rE = .41 (.14)**
Estradiol Unique .39 (.11)*** .00 (.00) .34 (.06)*** .03 (.10) .00 (.00) .50 (.07)*** .06 (.20) .09 (.29) .49 (.10)***

Note. The model allowed for quantitative sex differences in all outcomes and cross-paths and qualitative differences in pubertal status. Variance due to shared environmental effects in pubertal status was estimated at 0 and was subsequently fixed to 0. Female-restricted participants were off hormonal contraceptives, and in the follicular phase of their menstrual cycle. Standard errors are shown in parentheses. All variables were residualized for sex-specific effects of age, age2, BMI, and race; hormonal outcomes were residualized for time since waking and analytic batch. Model implied correlations are not shown for parameters estimated at < .01.

***

significantly different than zero at p < .001;

**

p < .01;

*

p < .05