Table 2.
Network Dependent Variable Categories and Descriptive Statistics of the Social Network Variables Over Time
| Time 1 | Time 2 | Time 3 | |
|---|---|---|---|
| Past month drinks per week N (%) - Categories | |||
| 0 | 330 (26.7) | 308 (34.0) | 265 (29.2) |
| >0 to .99 | 143 (15.8) | 140 (15.5) | 154 (17.0) |
| 1 to 4.9 | 332 (36.6) | 415 (45.8) | 430 (47.5) |
| 5 to 9.9 | 256 (28.3) | 205 (22.6) | 264 (29.1) |
| 10 to 70 | 173 (19.1) | 165 (18.2) | 122 (13.5) |
| Missing | 2 (0.2) | 3 (0.3) | 1 (0.1) |
| Past month drinks per week M (SD) | 4.7 (6.2) | 4.4 (5.7) | 4.3 (5.3) |
| Network variables | |||
| Total number of ties | 6,456 | 4,804 | 4,213 |
| Network Density | 0.004 | 0.003 | 0.003 |
| Average Degree M (SD) | 5.4 (2.9) | 3.9 (2.6) | 3.4 (2.4) |
| Average Jaccard Index1 M (SD) | 0.32 (.18) | 0.38 (.22) |
1
The Jaccard Index is calculated as the number of consistently present ties across each two-wave period, divided by the number of unique (i.e., not duplicated) ties that exist in either of the respective two waves. The index ranges from 0 to 1. Scores close to one indicate more consistency in a participant’s ties between two waves, and scores close to zero indicate inconsistency or greater change from one wave to the next.