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. Author manuscript; available in PMC: 2021 May 10.
Published in final edited form as: Obs Stud. 2020 Feb 7;6:66–86.

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Mean overall values and standard deviations from Project EAT study, unpublished

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Mean values and standard deviations from Redline et al. (31)