TITLE:
Psychometric Validation of the Persian Version of the Cannabis Use Disorder Identification Test
AUTHORS:
Mahmood Amirinia, Benjamin Ghasemi, Parisa Aghazadeh, Alireza Mollazadeh
KEYWORDS:
Cannabis Use Disorder, Marijuana, Psychometrics, Validity, Reliability, Iran
JOURNAL NAME:
Open Journal of Medical Psychology,
Vol.14 No.1,
January
30,
2025
ABSTRACT: The purpose of this paper is to look into how reliable and valid the Persian version of the Cannabis Use Disorder Identification Test-Revised (CUDIT-R-Pr) is. It will also compare the screening features of the CUDIT-R with those of the DSM-5 criteria for cannabis use disorder (CUD) based on the SCID-5-CT in a group of university students in Tehran, Iran. The study used the stratified random sampling technique to collect data from 541 students (19 to 24 years old) who used cannabis in Tehran universities in 2024. Confirmatory factor analysis confirmed the uni-dimensionality of the CUDIT-R-Pr. We checked the reliability of the CUDIT-R-Pr using Cronbach Alpha, split-half, inter-rater, test-retest stability over time, and parallel testing equivalence. The results indicated that CUDIT-R-Pr is reliable, reproducible, and responsive, with substantial agreement and adequate interpretability. The CUDIT-R shows that it can tell the difference between different levels of cannabis use severity, which is known as discriminant validity. Receiver operating characteristic analyses confirmed this, using an area under the receiver operating characteristics curve (AUC = 0.95) at a cutoff of ten or less. This allowed CUDIT-R-Pr to accurately predict any DSM-5 based on the highest correctly classified value (0.89), demonstrating high levels of sensitivity (0.96), specificity (0.69), and Youden value (0.65). The exact maximum Youden index (0.72) showed that CUDIT-R-Pr could also predict moderate DSM-5 with a cutoff of twelve or less. To validate and generalize the CUDIT-R-Pr for use among Iranian cannabis users, we need more research.