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. Author manuscript; available in PMC: 2018 Jan 18.
Published in final edited form as: Dev Psychobiol. 2015 Aug 19;57(8):935–947. doi: 10.1002/dev.21324

Table 3.

Bivariate Correlations Between Study Variables

Variable 1 2 3 4 5 6 7 8
1. Gender
2. Minority −.04
3. Involvement with CPS −.23* .11
4. Income-to-needs ratio .14 −.27** −.48***
5. Age .20 .06 −.17 .05
6. Avg AM cort −.03 −.02 −.22* .17 −.11
7. Avg PM cort −.09 .12 .36*** −.38*** −.09 .36***
8. Avg PM–AM difference −.10 .13 .51*** −.50*** .02 −.40*** .71***
9. Externalizing behavior −.21* .14 .31** −.35** −.19 −.21* .23* .36***
Effect Estimate SE Est/SE p 95%CI
Lower Upper
Path model: Time-varying covariates
 D1W cort ON D1W time −.12 .03 −3.42 .001 −.18 −.05
 D2W cort ON D2W time −.04 .04 −1.10 .271 −.11 .03
 D3W cort ON D3W time .003 .03 .09 .925 −.06 .06
 D1B cort ON D1B time −0.10 .04 −2.36 .018 −.19 −.02
 D2B cort ON D2B time −0.02 .04 −.49 .621 −.10 .06
 D3B cort ON D3B time −0.03 .02 −1.59 .112 −.06 .01

Note: Gender: 0 (male), 1 (female); Minority: 0 (non-minority), 1 (minority). Averages of log-transformed cortisol values used for correlations, and simple difference score [PM-AM] for diurnal decline.

*

p <.05,

**

p <.01,

***

p <.001