Predicting adolescent problem use of marijuana: Development and testing of a bayesian model

David H. Gustafson, Kris Bosworth, Catherine Treece, Yu Cherng Wu, Christina G.S. Palmer, D. Paul Moberg, Robert P. Hawkins

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

This paper reports on the development and testing of a risk assessment index for problem marijuana use designed to guide teenagers through an extensive computer-based support system intended to help them improve marijuana-related behaviors. Bayesian decision theory, used as the basis of the index development process, offers the advantage of building the index on subjective judgments of experts and does not require a large empirical data base. The index was found to predict an independent panel's ratings of teenager risk, and predict the marijuana use of 10th graders using self-reports of their profiles in the 7th grade. Implications for future risk assessment developments are discussed.

Original languageEnglish (US)
Pages (from-to)861-886
Number of pages26
JournalSubstance Use and Misuse
Volume29
Issue number7
DOIs
StatePublished - Jan 1 1994
Externally publishedYes

Keywords

  • Decision theory
  • Development and testing
  • Marijuana
  • Prediction
  • Risk

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Health(social science)
  • Public Health, Environmental and Occupational Health
  • Psychiatry and Mental health

Fingerprint Dive into the research topics of 'Predicting adolescent problem use of marijuana: Development and testing of a bayesian model'. Together they form a unique fingerprint.

  • Cite this

    Gustafson, D. H., Bosworth, K., Treece, C., Wu, Y. C., Palmer, C. G. S., Moberg, D. P., & Hawkins, R. P. (1994). Predicting adolescent problem use of marijuana: Development and testing of a bayesian model. Substance Use and Misuse, 29(7), 861-886. https://doi.org/10.3109/10826089409047915