Table 3.
Characteristics of initial and final cluster analysis solutions, presented in order from the first model (all variables included) to the final model (only two variables included), LSAC data a
| Model characteristics | Model 1 | Model 2 | Model 3 | Final model |
|---|---|---|---|---|
| Number of clusters/segments | 2 | 3 | 2 | 2 |
| Silhouette measure of cohesion and separation | 0.1 (poor) | 0.0 (poor) | 0.5 (good) | 0.8 (good) |
| Predictor importance of variables | ||||
| Texting/emailing/social media | 1.00 | 1.00 | 1.00 | 1.00 |
| Other internet use | 0.50 | 0.49 | 0.46 | 0.39 |
| Other physical activity | 0.03 | 0.03 | 0.01 | – |
| Shopping | 0.15 | 0.01 | – | – |
| Reading for leisure | 0.13 | 0.01 | – | – |
| TV/movies | 0.04 | 0.01 | – | – |
| Music for leisure | 0.04 | – | – | – |
| Electronic gaming | 0.04 | – | – | – |
| Homework/study | 0.01 | – | – | – |
| School lessons | 0.01 | – | – | – |
| Sleeping/napping | 0.00 | – | – | – |
| Daily living activities | 0.00 | – | – | – |
| Verbal communication | 0.00 | – | – | – |
a.Models were conducted iteratively until segments differed significantly in all input variables. Non-significant variables were excluded from subsequent models.