Table 2.
Power analysis for detecting differences in various scenarios.
| Scenarios - Ability to detect: | Est. mean (SD) | Policy n | Comparison n | Power |
|---|---|---|---|---|
| 1) 0.5 BMI unit longitudinal change difference over the course of 3 time points, with projected sample | 22.3 BMI units (4.5)* | 658 | 717 | 0.97 |
| 2) 0.5 BMI unit longitudinal change difference over 3 time points if final sample is 30% smaller due to unexpected attrition | 22.3 BMI units (4.5)* | 461 | 502 | 0.90 |
| 3) 0.5 BMI unit longitudinal change difference over 3 time points if the larger intervention s fails to implement policy | 22.3 BMI units (4.5)* | 197 | 1178 | 0.77 |
| 4) 0.5 BMI unit longitudinal change difference over 3 time points among girls | 22.3 BMI units (4.5)* | 329 | 358 | 0.78 |
| 5) 1.0 BMI unit longitudinal change difference among low-income student population over the course of 3 time points | 22.3 BMI units (4.5)* | 164 | 179 | 0.97 |
| 6) 0.2 breakfasts per week longitudinal change difference over 3 time points. | 3.2 per week (1.5)* | 658 | 717 | 0.96 |
| 7) 0.15 sugar sweetened beverages per day longitudinal change difference over 3 time points | 1.4 per day (1.1)* | 658 | 717 | 0.96 |
| 8) 0.3 breakfasts per week longitudinal change difference over 3 time points among low-income participants | 3.2 per week (1.5)* | 164 | 179 | 0.79 |
| 9) 0.25 sugar sweetened beverages per day longitudinal change difference over 3 time points, among low income | 1.4 per day (1.1)* | 93 | 143 | 0.88 |
Mean overall values and standard deviations from Project EAT study, unpublished
Mean values and standard deviations from Redline et al. (31)