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. Author manuscript; available in PMC: 2022 Jan 6.
Published in final edited form as: Child Dev. 2020 Jan 14;91(5):1577–1593. doi: 10.1111/cdev.13350

Table 4.

Logistic Regression Predicting Online Racial Discrimination Individual Class Membership by Demographic Characteristics

Individual ORD

HD vs. MI MD vs. MI LI vs. MI MD vs. HD LI vs. HD LI vs. MD

Variable ß SE OR 95%
CI
ß SE OR 95%
CI
ß SE OR 95%
CI
ß SE OR 95%
CI
ß SE OR 95%
CI
ß SE OR 95%
CI

Age −.05 .10 0.95 .65–1.25 −.02 .08 .98 .82–1.14 −.12 * .06 .89 .77–1.01 .03 .11 1.03 .81–1.25 −.07 .09 0.93 .75–1.11 −.10 .08 1.03 .87–1.19
Gender .65 .38 .52 -.60–1.64 −.05 .33 1.05 .40–1.70 .17 .23 .84 .39–1.29 −.71 .42 2.03 1.21–2.85 −.48 .35 1.62 .93–2.31 .22 .29 .95 .38–1.52
Race −.21 .38 1.23 .11–2.35 −.45 .36 1.56 .85–2.27 −.21 .25 1.24 .75–1.73 −.24 .42 1.27 .45–2.09 −.01 .34 1.01 .34–1.68 .23 .30 .64 .05–1.23
Time Online 1 .07 .22 1.07 0.42–1.72 −.01 .19 .99 .62–1.36 −.24 .14 .79 .52–1.06 −.08 .23 .93 .48–1.38 −.31 .19 0.74 .37–1.11 −.23 .16 1.01 .70–1.32

Age x Gender −.42 * .11 .66 .33−.99 .04 .12 1.04 .80–1.28 −.16 .09 0.85 .67–1.03 .46** .17 1.58 1.25–1.91 .26 .15 1.29 1.00–1.58 −.20 * .10 .82 .62–1.02
Age x
Race
.34 * .21 1.40 .80– 2.00 −.08 .10 0.93 .73–1.13 .05 .07 1.05 .91–1.19 −.41 ** .16 0.66 .35−.97 −.29 * .14 .75 .48–1.02 .12 .09 1.13 .95–1.31

Note. HD = High-Decreasing, MI = Moderate-Increasing, MD = Moderate-Decreasing, LI = Low-Increasing. Race = Race/ethnicity; Reference groups: Girl (Gender), Latinx (Race). Gender x Race interactions are not included in this table because none were significant.

p < .10,

*

p < .05,

**

p < .01,

***

p < .001. Significant results are in bold. Trend results are italicized.