
Factor Structure of the Cannabis Use Disorders Identification Test Revised (CUDIT-R) for Men and Women
Author(s) -
Megan M. Risi,
Alexander W. Sokolovsky,
Helene Raskin White,
Kristina M. Jackson
Publication year - 2020
Publication title -
cannabis
Language(s) - English
Resource type - Journals
ISSN - 2578-0026
DOI - 10.26828/cannabis.2020.02.002
Subject(s) - measurement invariance , confirmatory factor analysis , psychology , cannabis , exploratory factor analysis , test (biology) , clinical psychology , psychometrics , structural equation modeling , statistics , psychiatry , mathematics , biology , paleontology
The Cannabis Use Disorders Identification Test Revised (CUDIT-R) is an 8-item screening instrument designed to identify recent problematic cannabis use over the past 6 months. The purpose of the present study was to investigate the factor structure of the CUDIT-R separately for male and female college students. Participants included 1,390 male and female college students recruited from three state universities (61% female; Age: M = 19.8, SD = 1.3). We conducted exploratory and confirmatory factor analyses followed by tests of measurement invariance including configural invariance, metric invariance and scalar invariance across men and women. Results confirmed a one-factor structure for the CUDIT-R. The number of factors and item loadings were invariant between men and women. However, intercepts were non-invariant for an item asking about consumption of cannabis use indicating that the endorsement of this item varied between men and women. Follow-up validation tests indicated that using a sum score for analyses is appropriate despite non-invariance. However, more research is needed to determine if the cut-off scores of the CUDIT-R should be reevaluated by gender.