A growing body of literature demonstrates that cannabis is commonly used to aid sleep. Consistent with social cognitive theory, there is a vast literature documenting the role of outcome expectancies in the initiation, progression, and maintenance of cannabis use. Despite the readily endorsed belief that cannabis will help improve sleep, sleep-related expectancies have not been included in widely used cannabis expectancy measures. This study aimed to develop and provide preliminary psychometric evaluation of the Sleep-Related Cannabis Expectancy Questionnaire (SR-CEQ). Cross-sectional data were drawn from N= 166 college students (Mage = 18.83 [SD = 1.06; range: 18-24], 34% male, 71% White). Students completed an online survey including demographics and the 12-item SR-CEQ. Exploratory Factor Analysis identified two factors representing Negative Sleep-Related Cannabis Expectancies and Positive Sleep-Related Cannabis Expectancies. Confirmatory Factor Analysis demonstrated adequate fit of the two-factor measurement model to observed data (SRMR = 0.08). Students endorsed greater positive (versus negative) sleep-related cannabis expectancies on average, and male students reported significantly greater negative expectancies (but not positive expectancies) compared to female students. The SR-CEQ is the first cannabis expectancy assessment tool specific to sleep-related cannabis outcomes. Ongoing psychometric validation of the SR-CEQ is needed to assess convergent/predictive validity and replicate findings among relevant clinical samples.
Keywords: Cannabis; college students; expectancy; marijuana; psychometrics; sleep.