Data analysis
Analyses of frequency of missing data were conducted. Participants who did not meet eligibility criteria or respond to any vignette questions were removed from analyses. Participants who failed to respond to more than one item of the CUDIT-R were removed from analyses pertaining to this measure. Subsequently, data were assessed for outlier responses and outlier scores were winsorized [Descriptive statistics were used to characterize the sample by demographic variables. Subsequently, a series of one-way ANOVAs and chi-squares were conducted to assess for group differences on demographic characteristics, including age, province or territory of residence, gender, ethnicity, student status, education level, previous cannabis consumption, age of first consumption, perceived cannabis knowledge, and CUDIT-R score. For vignettes with significant group differences between conditions, ANCOVAs were used to account for covariates.A series of ANOVAs and ANCOVAs were conducted to assess emerging adults’ perceptions of the five higher-risk cannabis consumption behaviours on: (1) overall perceived risk; (2) impact on cognitive health; (3) impact on physical health; and (4) impact on mental health. Post hoc analyses were completed using Tukey’s HSD and Games-Howell tests. With a large sample size and, on average, over 200 participants per cell, the central limit theorem allows us to assume normal distribution with Likert scale ratings [