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Research Article

Examining and validating the factor structure of the cannabis-associated problems questionnaire

ORCID Icon, ORCID Icon, &
Pages 292-298 | Received 12 Apr 2020, Accepted 07 Sep 2020, Published online: 15 Sep 2020
 

ABSTRACT

Background

The Marijuana Problems Scale (MPS), otherwise known as the Cannabis-Associated Problems Questionnaire (CAPQ), a self-report measure of consequences caused by cannabis consumption, has an unexplored factor structure.

Methods

We assessed the psychometric properties of the CAPQ using exploratory and confirmatory factor analysis.

Results

We identified four factors (diminished productivity, reduced self-concept, interpersonal and financial problems, and physical symptoms) from responses of 3,856 cannabis-using adults. The factors covaried with indices of cannabis use, including frequency, quantity, and average intoxication. Additionally, we validated the four-factor structure using a confirmatory factor analysis in a second sample of 654 adult cannabis users. This multidimensional model provided a reasonably adequate fit to this second data set across several fit indices.

Conclusions

Our findings validate a four-factor model of cannabis problems that covaries with use in theoretically sensible ways. A search for new items addressing negative self-concept and physical symptoms might help provide a more thorough assessment of ways that cannabis use can interfere with functioning.

Disclosure statement

The authors have no conflicts of interest to report.

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