Literature DB >> 14510044

A marijuana screening inventory (experimental version): description and preliminary psychometric properties.

Dale Alexander1.   

Abstract

OBJECTIVE: Marijuana use prevalence, culturally confusing messages about marijuana risks, assessment dilemmas, and current screening inadequacies justify developing a marijuana specific screening inventory for assessment purposes. This article describes the Marijuana Screening Inventory (MSI-X) and its preliminary psychometric reliability, factor analyses, and factor structure.
METHOD: The MSI-X was administered to a community sample of 420 Army reservists participating in substance abuse educational classes. Participants responded anonymously to the 39-item MSI-X. SPSS analyses were performed with 408 returned MSI-Xs from a sample of 49% males and 40% females.
RESULTS: Analyses revealed 61% smoked marijuana during their lifetime. Reliability of the MSI-X was .89. Exploratory factor analyses of 31 scored items by principal components and varimax rotation supported a nine-factor structure, explaining 65.8% of the variance, with all items loading > or = .30. Within the sample, 7.84% scored > or = 7 suggesting "at risk" with marijuana; 6.12% scored 4 to 6 "suggestive of risk"; 20.83% scored 1 to 3 reflecting "normal or experimental" use; and 65.4% scored 0 suggesting "no problem."
CONCLUSIONS: The reliability, variance explained, factor-loading matrix of the nine-factor MSI-X structure and clinically predetermined scoring ranges appear useful for screening marijuana use patterns. Factor-based subscales were derived from the factor-loading matrix and described as a base for future confirmatory factor analysis. Although the MSI-X version needs psychometric strengthening, it shows potential as a marijuana-specific screening inventory for use in general mental health and primary care settings.

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Year:  2003        PMID: 14510044     DOI: 10.1081/ada-120023462

Source DB:  PubMed          Journal:  Am J Drug Alcohol Abuse        ISSN: 0095-2990            Impact factor:   3.829


  6 in total

1.  Identifying risk factors for marijuana use among veterans affairs patients.

Authors:  Marina Goldman; Jesse J Suh; Kevin G Lynch; Regina Szucs; Jennifer Ross; Hu Xie; Charles P O'Brien; David W Oslin
Journal:  J Addict Med       Date:  2010-03       Impact factor: 3.702

2.  Reliability and validity of young adults' anonymous online reports of marijuana use and thoughts about use.

Authors:  Danielle E Ramo; Howard Liu; Judith J Prochaska
Journal:  Psychol Addict Behav       Date:  2011-11-14

3.  Psychoactive substances and the political ecology of mental distress.

Authors:  Sunil K Aggarwal; Gregory T Carter; Craig Zumbrunnen; Richard Morrill; Mark Sullivan; Jonathan D Mayer
Journal:  Harm Reduct J       Date:  2012-01-18

4.  Performance of young adult cannabis users on neurocognitive measures of impulsive behavior and their relationship to symptoms of cannabis use disorders.

Authors:  Raul Gonzalez; Randi Melissa Schuster; Robin J Mermelstein; Jasmin Vassileva; Eileen M Martin; Kathleen R Diviak
Journal:  J Clin Exp Neuropsychol       Date:  2012-08-10       Impact factor: 2.475

5.  Measuring cannabis consumption: Psychometric properties of the Daily Sessions, Frequency, Age of Onset, and Quantity of Cannabis Use Inventory (DFAQ-CU).

Authors:  Carrie Cuttler; Alexander Spradlin
Journal:  PLoS One       Date:  2017-05-26       Impact factor: 3.240

Review 6.  Short scales to assess cannabis-related problems: a review of psychometric properties.

Authors:  Daniela Piontek; Ludwig Kraus; Danica Klempova
Journal:  Subst Abuse Treat Prev Policy       Date:  2008-12-02
  6 in total

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