The Gambling Expectancy Questionnaire (GEQ) suggests that adolescents hold a variety of positive and negative outcome expectancies related to gambling. Significant age, gender, and gambling group differences were identified on the scales of the GEQ in this study. The results provide insightful information suggesting that non-gamblers, social gamblers, at-risk gamblers, and probable pathological gamblers (PPGs) differ in the strength of their expectancies of both the positive and negative outcomes of gambling behavior. These findings were interpreted in terms of their implications for prevention, treatment, and future research.
This course is based on the reading-based online article, The Utility of Outcome Expectancies in the Prediction of Adolescent Gambling Behaviour created by Rina Gupta, Meredith A. M. Gillespie, and Jeffrey L. Derevensky
Journal of Gambling Issues
Issue 19, January 2007
Course Material Authors
Course Material Authors authored the material only, and were not involved in creating this CE course. They are identified here for your own evaluation of the relevancy of the material this course is based on.
Rina Gupta, Ph.D., is a child psychologist and an assistant professor (part-time) in the School/Applied Child Psychology program at McGill University, Montreal, Quebec, Canada. She is on the editorial board of the Journal of Gambling Studies and is co-director of the McGill University Youth Gambling Research & Treatment Clinic and the International Centre for Youth Gambling Problems and High-Risk Behaviors. Her research and clinical work has been focused on understanding, preventing, and treating gambling problems in youth. Dr. Gupta has provided expert testimony before a number of government committees and national and international commissions and was the recipient of the Young Scientist Award by the National Center for Responsible Gaming.
Meredith A. M. Gillespie
Meredith Gillespie, M.A., is currently a doctoral student at McGill University's International Centre for Youth Gambling Problems and High-Risk Behaviors, Montreal, Quebec, Canada. She has received several master's and doctoral fellowships and has coauthored several papers and chapters concerning youth gambling problems.
Jeffrey L. Derevensky
Jeffrey L. Derevensky, Ph.D., is a professor of School/Applied Child Psychology, Department of Educational and Counseling Psychology, McGill University, and associate professor, Department of Psychiatry, McGill University, Montreal, Quebec, Canada. He is co-director of the McGill University Youth Gambling Research & Treatment Clinic and the International Centre for Youth Gambling Problems and High-Risk Behaviors. He is a child psychologist who has published widely in the field of youth gambling and is on the editorial board of several journals.
Dan Rebek, Ph.D.
This course is recommended for health care professionals, especially addiction counselors, psychologists, mental health counselors, social workers, and nurses who seek knowledge about how outcome expectancies may predict adolescent gambling behavior. It is appropriate for all levels of participants' knowledge.
After taking this course, you should be able to:
Describe how social cognitive models emphasize the subjective cognition implicated in behavior choice and discuss prior research involving expectancies and addictive behavior.
Explain the method of the published study including participants, measures, and procedure.
Identify study results including data analyses, prevalence findings, and differences between gender and age groups.
Discuss study implications on the issues of outcome expectancies and gambling severity, the utility of outcome expectancies in the prediction of problem gambling, and implications for prevention and treatment.
Disclosure of Relevant Financial Relationships
Disclosure of Relevant Financial Relationships
CE Learning Systems, LLC is an independent provider of continuing medical education. CE Learning Systems, LLC has no proprietary or financial interest in medical or healthcare products over which the FDA (USA) or EMA (EU) has regulatory authority.
In accordance with our disclosure policies, CE Learning Systems, LLC is committed to ensuring balance, independence, objectivity, and scientific rigor for all accredited continuing education. These policies include assigning relevance to, and mitigating, all perceived or real conflicts of interest between any individual with control over the content and any ineligible company (commercial interest).
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any investigational, off-label, or non-FDA approved content or discussion
CE Learning Systems, LLC has reviewed these disclosures, assigned relevance based on the relationship and scope of content, and identified those with the potential to compromise the goals and educational integrity of the education. Relevant relationships, or lack thereof, are shared with the learner.
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All recommendations involving clinical medicine is based on evidence that is accepted within the medical profession as adequate justification for their indications and contraindications in the care of patients.
All scientific research referred to, reported, or used in accredited continuing education in support or justification of a patient care recommendation conforms to the generally accepted standards of experimental design, data collection, and analysis.
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The planners have reported the following: There are no relevant disclosures.
Course Material Authors
The authors have disclosed any disclosures within the material.
Course Creator: Dan Rebek, Ph.D.
There are no relevant disclosures.
There is no commercial support for this distance-learning course.
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