Related Experiment Video
Updated: Mar 21, 2026

A Conflict Model of Reward-seeking Behavior in Male Rats
Published on: February 20, 2019
Gambling Responsibly: Who Does It and To What End?
Nerilee Hing1, Kerry Sproston2, Katherine Tran3
1School of Human, Health and Social Sciences, Central Queensland University, Locked Bag 3333, Bundaberg, QLD, 4670, Australia. n.hing@cqu.edu.au.
Responsible gambling (RG) knowledge is high, but lower-risk gamblers more frequently use RG strategies. Setting spending limits and gambling for entertainment predict safer gambling behaviors.
Area of Science:
- Behavioral Psychology
- Public Health
- Gambling Studies
Background:
- Responsible gambling (RG) strategies aim to mitigate harm, yet consumer adoption and effectiveness across risk groups remain unclear.
- Understanding how different gambler risk profiles engage with RG strategies is crucial for targeted interventions.
Purpose of the Study:
- To examine differences in RG strategy usage among regular gamblers based on their risk group.
- To identify specific RG strategies that predict non-problematic or low-risk gambling behavior.
Main Methods:
- A survey of 860 regular Australian gamblers, recruited from venues and an online operator, assessed RG strategy use.
- Logistic regression analysis was employed to identify predictors of lower-risk gambling.
Main Results:
- While knowledge of RG strategies was widespread, lower-risk gamblers demonstrated higher usage rates.
- Predictors of lower-risk gambling included confidence in RG understanding, setting spending limits, fewer misconceptions, and gambling for entertainment.
Conclusions:
- Lower-risk gamblers are more likely to set financial limits and balance gambling with other activities.
- Findings inform the development of consumer information to enhance RG strategy adoption and guide future research.
Related Concept Videos
Self-Discrepancy Theory
Fundamental Attribution Error
Secondary Motives: Affiliation Motivation and Aggression Motivation
Egoism and Altruism
Motivational Bias
Self-Serving Bias

