Validating a five-factor marijuana motives measure: Relations with use, problems, and alcohol motives.

Jeffrey S. Simons, Christopher J. Correia, Kate Bergmann Carey, Brian E. Borsari·1998·Journal of Counseling Psychology

Abstract

This study adapted and extended M. L. Cooper's (1994) Drinking Motives Measure to examine marijuana motives among 299 college students. An exploratory factor analysis supported the hypothesized 5-factor marijuana motives model, resulting in enhancement, conformity, expansion, coping, and social motives. Analyses supported the internal consistency and concurrent validity of the 5 marijuana motives. Marijuana motives were significant predictors of marijuana use and added to the prediction of use-related problems above and beyond the contribution of lifetime use. Motives and gender interacted in predicting use and use-related problems. Parallel regression analyses revealed that marijuana and alcohol motives predicted comparable amounts of variance in use and use-related problems. However, different patterns of relations emerged across drugs, supporting the discriminant validity of the marijuana and alcohol motives. Young adults use alcohol and marijuana more often than any other abusable drug. According to the Monitoring the Future study (Johnston, O'Malley, & Bachman, 1994), 94% of adults between the ages of 18 and 29 years have used alcohol in their lifetimes, and 56% have used marijuana. As for recent use, 87% drank alcohol in the last year, and 25% used marijuana. Increases in abuse of both alcohol and marijuana have been observed in recent years (National Institute on Drug Abuse [NIDA] 1996). Also troubling is evidence that the perceived risk of marijuana use has recently decreased among young adults (NIDA, 1996). In light of these trends, increased attention to psychological factors influencing use of these drugs is clearly warranted.

Cites (5)

  1. Factor analysis in the development and refinement of clinical assessment instruments.
    Floyd, Frank J., Widaman, Keith F. · 1995 · Psychological Assessment
  2. Drinking to regulate positive and negative emotions: A motivational model of alcohol use
    Cooper, M. Lynne, Frone, Michael R., Russell, Marcia, Mudar, Pamela · 1995 · Journal of Personality and Social Psychology
  3. Towards the assessment of adolescent problem drinking
    White, H R, Labouvie, E W · 1989 · Journal of Studies on Alcohol
  4. Drinking motives predict alcohol-related problems in college students
    Carey, K B, Correia, C J · 1997 · Journal of Studies on Alcohol
  5. Cognitive motivations for drug use among adolescents: longitudinal tests of gender differences and predictors of change in drug use
    Newcomb, Michael D., Chou, Chih-ping, Bentler, P. M., Huba, G. J. · 1988 · Journal of Counseling Psychology

Show all 5 references

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    Simons, Jeffrey S., Gaher, Raluca M., Correia, Christopher J., Hansen, Christopher L., Christopher, Michael S. · 2005 · Psychology of Addictive Behaviors
  3. Adolescent brain cognitive development (ABCD) study: Overview of substance use assessment methods
    Lisdahl, Krista M., Sher, Kenneth J., Conway, Kevin P., Gonzalez, Raul, Feldstein Ewing, Sarah W., Nixon, Sara Jo, Tapert, Susan, Bartsch, Hauke, Goldstein, Rita Z., Heitzeg, Mary · 2018 · Developmental Cognitive Neuroscience
  4. Stress-related factors in cannabis use and misuse: Implications for prevention and treatment
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    White, Helene R., Labouvie, Erich W., Papadaratsakis, Vasiliki · 2005 · Journal of Drug Issues

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How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Validating a five-factor marijuana motives measure: Relations with use, problems, and alcohol motives. https://app.cochat.ai/papers/10.1037//0022-0167.45.3.265
The paper
Simons, J. S., Correia, C. J., Carey, K. B., & Borsari, B. E. (1998). Validating a five-factor marijuana motives measure: Relations with use, problems, and alcohol motives. Journal of Counseling Psychology. https://doi.org/10.1037//0022-0167.45.3.265

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.