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Validation of the Marijuana Effect Expectancy Questionnaire-Brief.
O Torrealday1, L A R Stein, N Barnett
1O. Torrealday, PhD, is Director, Office of Clinical Services, Juvenile Court of Memphis and Shelby County, Memphis, TN. L. A. R. Stein, PhD, is Assistant Professor, Cancer Prevention Research Center and Psychology Department, University of Rhode Island, Kingston, RI; and Rhode Island Training Institute, Cranston, RI. N. Barnett, PhD, is affiliated with the Department of Psychiatry & Human Behavior, Center for Alcohol & Addiction Studies, Brown University, Providence, RI. C. Golembeske, PhD, is affiliated with the Rhode Island Training School, Cranston, RI. R. Lebeau, MPH, PhD, is affiliated with the Cancer Prevention Research Center, University of Rhode Island, Kingston, RI. S. M. Colby, PhD, is affiliated with the Department of Psychiatry & Human Behavior, Center for Alcohol & Addiction Studies, Brown University, Providence, RI. P. M. Monti, PhD, is affiliated with the Department of Psychiatry & Human Behavior, Center for Alcohol & Addiction Studies, Brown University, Providence, RI; and Providence VA Medical Center, Providence, RI.
A brief Marijuana Effect Expectancy Questionnaire (MEEQ-B) was developed to assess adolescent marijuana expectancies. The MEEQ-B identified positive and negative effects, correlating with marijuana use, aiding clinical assessment.
Area of Science:
- Psychology
- Substance Abuse Research
- Adolescent Health
Background:
- Understanding adolescent marijuana use is critical.
- Expectancy measures inform prevention and intervention strategies.
- The original Marijuana Effect Expectancy Questionnaire (MEEQ) is lengthy.
Purpose of the Study:
- To evaluate a brief version of the MEEQ (MEEQ-B).
- To assess the psychometric properties of the MEEQ-B.
- To determine its utility in clinical settings for youth.
Main Methods:
- The original MEEQ was reduced to a 6-item scale (MEEQ-B).
- Principal component analysis (PCA) was used to identify underlying factors.
- Internal consistencies and correlations with criterion variables were examined.
Main Results:
- PCA revealed two factors: positive and negative effects, explaining 52.3% of the variance.
- Internal consistencies ranged from 0.42 to 0.60, slightly lower than the original MEEQ.
- The negative effect expectancy scale showed significant correlation with marijuana use indicators (p ≤ .05).
Conclusions:
- The MEEQ-B is a potentially useful tool for clinicians assessing youth marijuana expectancies.
- The measure's brevity enhances its clinical applicability.
- Replication in diverse samples of adjudicated youth is recommended for further validation.
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