Table 1.
Results of the First-Difference Fixed-Effects Model Predicting Individual-Level Changes in Usage of Mobile Apps From the Week Before to the Week After the Earthquake (N = 45,574)
| Communications apps (adjusted R2 = .139) |
Hedonic apps (adjusted R2 = .0366) |
Functional apps (adjusted R2 = .0253) |
||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Predictor | Coefficient | SD | t | p | Coefficient | SD | t | p | Coefficient | SD | t | p |
| Change in outgoing-call frequency | 0.835 | 0.085 | 9.79 | < .001 | 0.262 | 0.058 | 4.53 | < .001 | 0.227 | 0.096 | 2.37 | .018 |
| Change in outgoing-text frequency | 0.739 | 0.040 | 18.6 | < .001 | 0.309 | 0.027 | 11.4 | < .001 | 0.271 | 0.045 | 6.05 | < .001 |
| Change in activated social-network size | 0.635 | 0.248 | 2.56 | .011 | 0.395 | 0.170 | 2.34 | .019 | 0.973 | 0.278 | 3.49 | < .001 |
| Change in Web-usage frequency | 1.27 | 0.020 | 62.8 | < .001 | 0.207 | 0.014 | 15.0 | < .001 | 0.542 | 0.023 | 23.9 | < .001 |
| Infrastructure-damage dummy | –26.6 | 6.80 | –3.91 | < .001 | –21.0 | 4.62 | –4.53 | < .001 | –11.3 | 7.62 | –1.49 | .137 |
| Earthquake intensity | 5.21 | 0.166 | 31.5 | < .001 | 2.92 | 0.113 | 26.0 | < .001 | 2.61 | 0.186 | 14.1 | < .001 |
Note: The dependent variables were changes in frequency of communications-, hedonic-, and functional-app usage between the week before and the week after the earthquake. F tests and Hausman tests for the three models were all highly significant ( ps < .001), which suggested that fixed-effects models were appropriate.