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      Evaluation of the Daily Sessions, Frequency, Age of Onset, and Quantity of Cannabis Use Questionnaire and its Relations to Cannabis-Related Problems

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          Abstract

          Cannabis use and the prevalence of cannabis use disorder (CUD) among emerging adults are on the rise. Several indicators of cannabis use (e.g., quantity, frequency) as they relate to negative outcomes have been posited in the extant literature. Despite research examining links between indicators and cannabis outcomes, few assessments of cannabis use indicators exist. The Daily Sessions, Frequency, Age of Onset, and Quantity of Cannabis Use Inventory (DFAQ-CU) was developed to assess cannabis use across a range of factors. However, the factor structure of the DFAQ-CU has not been replicated. Further, the DFAQ-CU was modeled using reflective strategies despite formative strategies being conceptually appropriate. The present study utilized principal components analyses (PCA) and principal axis factoring (PAF) to evaluate the structure of the DFAQ-CU. PCA yielded a four-component solution; PAF resulted in a five-factor solution. Linear regression found significant relations between PCA components and PAF factors with CUD symptoms and cannabis-related problems; however, effect sizes were larger for the PAF suggesting possible misdisattenuation. The PCA components demonstrated evidence of discriminant and convergent validity with measures of cannabis and alcohol behavior. The study informs research and clinical work through the refinement of cannabis use assessment and enhancing our understanding of the importance of model selection.

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                Author and article information

                Journal
                Cannabis
                Cannabis
                cannabis
                Cannabis
                Research Society on Marijuana (Albuquerque, NM, USA )
                2578-0026
                03 November 2023
                2023
                : 6
                : 3
                : 64-86
                Affiliations
                [1 ] The Center of Alcohol and Substance Use Studies, Rutgers University
                [2 ] Department of Psychological Sciences, Texas Tech University
                Author notes
                Corresponding Author: Jordan Gette, Ph.D., Rutgers University, 607 Allison Road Piscataway New Jersey 08854. Email: Jordan.gette@ 123456rutgers.edu
                Article
                2023/000161
                10.26828/cannabis/2023/000161
                10683753
                38035173
                c511efc9-c138-4c3f-ad45-391812e133aa
                © 2023 Authors et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction, provided the original author and source are credited, the original sources is not modified, and the source is not used for commercial purposes.

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                Categories
                Research Article

                cannabis,structural equation modeling,assessment,principle components analysis,emerging adults

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