Validation of the DFAQ-CU Among an Illicit Substance Using Population

• Main Authors: Sullivan, Thalia P., Kromash, Rachelle, Mitchell, Hannah G., Ginley, Meredith K.
• Published: Digital Commons @ East Tennessee State University 2021
• Subjects: substance use; illicit; DFAQ-CU; Psychology; Substance Abuse and Addiction
• Online Access: https://dc.etsu.edu/etsu-works/8892

With high rates of cannabis use in college students and increasing legalization of cannabis, psychometrically sound scales of cannabis consumption remain a high research priority. The Daily Sessions, Frequency, Age of Onset, and Quantity of Cannabis Use Inventory (DFAQ-CU; Cuttler & Spradlin, 2017) assesses daily sessions, frequency, age of onset, and quantity of marijuana, concentrates, and edibles consumed. Preliminary psychometric properties have been established in a population of college students using cannabis legally. The current study aims to evaluate the psychometric properties of the DFAQ-CU in college students using cannabis illicitly. Participants (N=114) were 18- to 58-years-old (M=21.25). They completed the DFAQ-CU, Drug Use Disorders Identification Test (DUDIT), and Buss Perry Aggression Questionnaire (BPAQ). Analyses were performed using the original factor structures. The factor analysis will be replicated once the full sample has been obtained (~400 by 02/2021). Cronbach's alphas ranged from.32 to.92, with some factors showing stronger reliability (e.g., frequency) than others (e.g., daily sessions). Bivariate correlations indicated daily sessions (r(54)=.32, p=.02), frequency (r(53)=.50, p<.001), marijuana quantity (r(78)=.32, p=.004), and edible (r(25)=.54, p=.006) factors demonstrated high convergent validity with the DUDIT total score. The age of onset and concentrate quantity factors did not. All factors were significantly divergent from the BPAQ. Overall, the original six-factor scale appears to have a poor fit within a college student population with illicit use. Notably, the concentrate quantity and daily sessions factors have poor internal consistency and convergent validity. These will be further explored upon completion of data collection.