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. Author manuscript; available in PMC: 2019 Jan 9.
Published in final edited form as: Soc Psychol Personal Sci. 2017 Dec 27;10(1):121–130. doi: 10.1177/1948550617746218

Table 2.

Multi-level models predicting chronic illnesses from actor and partner discrimination.

Chronic Illness 95% CI

b SE(b) df t p Lower Upper r
Actor Discrimination .16 .03 3723.32 4.99 < .001 .09 .22 .08
Partner Discrimination .05 .03 3653.45 1.73 .085 −.01 .11 .03
Gender .02 .02 2056.54 1.09 .277 −.02 .06 .02
Age .04 .003 2304.65 15.73 < .001 .04 .05 .31
Education −.05 .01 3242.18 −6.43 < .001 −.07 −.04 −.11
Closeness −.04 .03 3258.47 −1.13 .259 −.10 .03 −.02
Race
 African American .25 .08 2070.49 3.01 .003 .09 .42 .07
 Hispanic −.21 .10 2634.12 −2.13 .033 −.40 −.02 −.04
 Other −.28 .16 3414.45 −1.73 .084 −.60 .04 −.03

Effects are reported as unstandardized regression coefficients. Gender: −1 = men, 1 = women. The reference group for race is Caucasian.