Related Experiment Video
Updated: Nov 28, 2025

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
Published on: September 19, 2012
A Composite Measure of Gambling Exposure: Availability, Accessibility or Both?
S M Ofori Dei1, D R Christensen2,3, O A Awosoga1
1Faculty of Health Sciences, University of Lethbridge, 4401 University Drive, Lethbridge, AB, T1K 3M4, Canada.
Assessing gambling exposure requires a composite measure, not just availability or accessibility alone. This combined approach better predicts the risk and severity of problem gambling.
Area of Science:
- Public Health
- Behavioral Science
- Addiction Research
Background:
- Gambling exposure is typically assessed using availability and accessibility measures, often interchangeably.
- A nuanced understanding of gambling exposure is crucial for identifying at-risk individuals.
Purpose of the Study:
- To evaluate the predictive advantages of using availability, accessibility, and a composite measure for assessing gambling exposure.
- To determine the relative importance of these exposure measures in predicting problem gambling.
Main Methods:
- Logistic and Poisson regression analyses were employed.
- Data were sourced from the 2008 and 2009 Social and Economic Impacts of Gambling in Alberta (SEIGA) surveys.
- The study compared the predictive power of individual and composite gambling exposure measures.
Main Results:
- A composite measure of gambling exposure demonstrated superior prediction of problem gambling risk and severity compared to availability or accessibility measures used independently.
- The composite measure explained more variance in problem gambling outcomes.
Conclusions:
- A composite measure of gambling exposure offers a more robust assessment of individual differences in problem gambling.
- Future research and clinical assessments should consider utilizing a composite approach for a comprehensive understanding of gambling exposure.
Related Concept Videos
Bias
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Odds Ratio
The Availability Heuristic
Diagnostic and Statistical Manual of Mental Disorders (DSM)
Determination of Expected Frequency

