Table 3. Predictors of FB problematic use: Hierarchical regressions.
Model 1 | Model 2 | |||||||
---|---|---|---|---|---|---|---|---|
Estimate | SE1 | t | p-Value2 | Estimate | SE | t | p-Value2 | |
Women vs. Men | -0.039 | 0.024 | -1.66 | 0.10 | -0.023 | 0.023 | -1.01 | 0.31 |
Age | -0.003 | 0.001 | -3.29 | >0.01 | -0.003 | 0.001 | -2.82 | >0.01 |
FB activities (yes vs. no): | ||||||||
Updating status | 0.090 | 0.024 | 3.76 | >0.001 | 0.090 | 0.022 | 4.03 | >0.001 |
Reading the news feed | 0.035 | 0.022 | 1.58 | 0.11 | 0.018 | 0.021 | 0.87 | 0.39 |
Reading friends’ timelines | 0.012 | 0.022 | 0.57 | 0.57 | 0.002 | 0.020 | 0.09 | 0.92 |
Commenting | -0.019 | 0.024 | -0.81 | 0.42 | -0.030 | 0.022 | -1.37 | 0.17 |
Viewing friends’ pictures | 0.014 | 0.022 | 0.63 | 0.53 | 0.009 | 0.021 | 0.44 | 0.66 |
Gaming | 0.096 | 0.036 | 2.68 | >0.01 | 0.079 | 0.034 | 2.34 | 0.02 |
Contributing to a group | 0.040 | 0.023 | 1.77 | 0.08 | 0.034 | 0.021 | 1.64 | 0.10 |
Sharing stuff from the Internet | -0.013 | 0.042 | -0.30 | 0.77 | -0.025 | 0.040 | -0.63 | 0.53 |
Messenger app (yes vs. no) | 0.014 | 0.023 | 0.61 | 0.54 | 0.010 | 0.022 | 0.48 | 0.63 |
FB main access (vs. personal computer): | ||||||||
Professional computer | -0.037 | 0.043 | -0.85 | 0.40 | -0.052 | 0.041 | -1.27 | 0.20 |
Smartphone | -0.039 | 0.024 | -1.59 | 0.11 | -0.044 | 0.023 | -1.93 | 0.05 |
Tablet | -0.070 | 0.048 | -1.48 | 0.14 | -0.072 | 0.044 | -1.63 | 0.10 |
Notifications (yes vs. no) | 0.049 | 0.023 | 2.15 | 0.03 | 0.039 | 0.021 | 1.85 | 0.06 |
Impulsivity traits: | ||||||||
Negative urgency | 0.009 | 0.005 | 2.03 | 0.04 | ||||
Positive urgency | 0.022 | 0.005 | 4.15 | >0.001 | ||||
Lack of premeditation | -0.006 | 0.005 | -1.07 | 0.29 | ||||
Lack of perseverance | 0.032 | 0.005 | 6.53 | >0.001 | ||||
Sensation seeking | 0.001 | 0.004 | 0.37 | 0.72 | ||||
R2 | 0.075 | 0.206 | ||||||
Delta R2 | 0.130 | >0.001 |
1Standard error of the regression coefficient.
2p-Values smaller than 0.05 are in bold.