Table 3.
Regression results depicting associations between externalizing symptoms and predictors.
| Predictor | b | b 95% CI [LL, UL] | t | |
|---|---|---|---|---|
| Step 1 | ||||
| Mental Health Treatment | 0.18** | [0.08, 0.28] | 3.67** | |
| Biological Sex | 0.01 | [-0.08, 0.11] | 0.28 | |
| Mother's Education | -0.17** | [-0.26, -0.07] | -3.49** | |
| Phone Type | 0.01 | [-0.08, 0.11] | 0.26 | R2 = .063** |
| 95% CI[.02,.10] | ||||
| Step 2 | ||||
| Duration of Screen-time | 0.18** | [0.08, 0.28] | 3.61** | |
| Number of Unlocks | -0.10 | [-0.20, 0.01] | -1.77 | |
| Mental Health Treatment | 0.17** | [0.08, 0.27] | 3.62** | |
| Biological Sex | 0.01 | [-0.09, 0.10] | 0.09 | |
| Mother's Education | -0.15** | [-0.24, -0.06] | -3.18** | |
| Phone Type | 0.01 | [-0.10, 0.11] | 0.11 | |
| R2 = .093** | ||||
| 95% CI[.04,.14] | ||||
| ΔR2=.030** | ||||
| F(1,414) = 6.81 |
Note. b represents unstandardized regression weights. LL and UL indicate the lower and upper limits of a confidence interval, respectively.
* indicates p < .05. ** indicates p < .01.
Biological sex was coded in the analysis as: 0 – Female, 1 - Male; Current mental health treatment was coded as: 0 – Yes, 1 – No; Mother's education was coded as: 0 – Did not finish high-school, 1- Finished high-school, 2-Further education, 3 – University, 4 – I don't know, 5 – Prefer not to answer. Phone type was coded as: 0 - Android, 1 - iOS