Statistical Analysis
REGRESSION, SECONDARY, REGRESSIONS
The eMethods in We preregistered all analyses except where noted (We examined whether the effects of the interpretive labeling systems on calories selected were moderated by education by adding education level (some college or less vs any college degree) and its interaction with trial arms to the primary models. We examined the joint statistical significance of the interaction terms.We followed a similar approach to examine secondary outcomes using 2-part models for zero-inflated continuous outcomes (ie, sugar), OLS for nonzero-inflated continuous outcomes (eg, sodium, attention to labels), logistic regression for binary outcomes (eg, noticing the label), and multinomial logistic regressions for categorical outcomes (eg, likelihood of selecting a healthy, moderately healthy, or unhealthy beverage; we opted against ordered logit due to lack of proportionalityWe also conducted non-preregistered moderation analyses examining whether the effects of the interpretative labels on stigma were moderated by body mass index (calculated as weight in kilograms divided by height in meters squared; ≥30 kg/m