Table 5.
Effects of Privacy Condition on Primary Outcome Moderated by Age Category
Predictors of intention to download the app | Privacy marginal means | No privacy marginal means | Adj b | 95% CI | ω2 |
---|---|---|---|---|---|
Privacy | ― | ― | –0.02 | –0.21, 0.16 | –0.002 |
Age category | ― | ― | 0.06 | –0.24, 0.37 | –0.001 |
Privacy x age category | |||||
≥35 years | 2.63 | 2.66 | ― | ― | ― |
18–34 years | 2.77 | 2.72 | 0.08 | –0.20, 0.35 | –0.001 |
N=649 (no privacy n=334, privacy n=315). Measures assessed among U.S. adults in November 2020. The model compares the download intentions among participants in the privacy condition with those in the no-privacy condition (ref category), the 18–34 to 35+ age group categories, and the interaction of privacy and age category. The model adjusts for age; gender; race/ethnicity; the number of people in their household (including whether or not they live with children or a partner); their highest education level attained; their political identification; frequency of engaging in 3 COVID-19 prevention health behaviors in the past 7 days (e.g., masking, social distancing); how worried they were about someone they know getting COVID-19 (including themselves); and 3 categorical items: whether they work some or most days in close contact with people from outside their home, whether they know anyone who is at high risk for complications from COVID-19, and whether they know anyone who had a mild or severe case of COVID-19.
Adj, adjusted.