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The Metacognitions about Gambling Questionnaire: Development and psychometric properties
Gabriele Caselli1, Bruce Fernie2, Flaviano Canfora3
1Division of Psychology, School of Applied Sciences, London South Bank University, London, UK; Studi Cognitivi, Milan, Italy; Sigmund Freud University, Milan, Italy.
This study introduces the Metacognitions about Gambling Questionnaire to assess gambling-related thoughts. Negative metacognitions about gambling predict gambling severity, even beyond other factors.
Area of Science:
- Psychology
- Psychiatry
- Behavioral Science
Background:
- Metacognitions are increasingly recognized for their role in addictive behaviors.
- Existing research highlights the need for specific tools to measure metacognitions related to gambling.
Purpose of the Study:
- To develop and validate the first self-report scale for metacognitions about gambling.
- To assess the psychometric properties and predictive capacity of the Metacognitions about Gambling Questionnaire (MAGQ).
Main Methods:
- Three studies were conducted with community and clinical samples (total N=362).
- Factor analysis was used to determine the scale's structure.
- Psychometric properties, including internal consistency, predictive validity, and divergent validity, were examined.
- Regression analyses assessed the MAGQ's ability to predict gambling severity.
Main Results:
- A two-factor structure (positive and negative metacognitions about gambling) was supported.
- The MAGQ demonstrated acceptable internal consistency, predictive validity, and divergent validity.
- Negative metacognitions about gambling significantly predicted gambling severity, independent of negative affect and cognitive distortions.
- Both gambling severity and negative metacognitions prospectively predicted future gambling severity.
Conclusions:
- The Metacognitions about Gambling Questionnaire is a psychometrically sound measure.
- Metacognitions, particularly negative ones, are important factors in understanding and predicting gambling severity.
- The MAGQ can be a valuable tool for research and clinical assessment of gambling disorder.
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