The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
An affective-motivational model of marijuana and alcohol problems among college students.
Abstract
The study examined models of marijuana (n = 309) and alcohol (n = 731) problems. Impulsivity was directly associated with both marijuana- and alcohol-related problems. Negative mood regulation expectancies were indirectly associated with marijuana problems through coping motives. Sensation seeking was indirectly associated with alcohol problems through enhancement motives. Affect lability and negative affect were indirectly associated with alcohol problems though coping motives. In both models, coping motives were directly associated with use-related problems. A multigroup analysis indicated that the association between negative affect and coping motives as well as use and problems was stronger among participants using both alcohol and marijuana relative to alcohol only. Enhancement motives were a stronger predictor of alcohol use among participants using alcohol only.
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Cited by
The Distress Tolerance Scale: Development and Validation of a Self-Report Measure
Simons, J. S., & Gaher, R. M. (2005) · Motivation and Emotion · doi:10.1007/s11031-005-7955-3 · Cited by 1,730
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Metadata
- Authors
- Simons, J. S., Gaher, R. M., Correia, C. J., Hansen, C. L., & Christopher, M. S.
- Venue
- Psychology of Addictive Behaviors
- Published
- 2005
- Volume
- 19
- Issue
- 3
- Pages
- 326-334
- ISSN
- 0893-164X (ISSN-L)
- 1939-1501
- OpenAlex
- W1989603084
- Cited by
- 414
- References
- 38
- FWCI
- 7.20
- Type
- journal article
- Language
- en
- Open access
- closed
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- Simons, J. S., Gaher, R. M., Correia, C. J., Hansen, C. L., & Christopher, M. S. (2005). An affective-motivational model of marijuana and alcohol problems among college students. Psychology of Addictive Behaviors. https://doi.org/10.1037/0893-164x.19.3.326
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
