Measurement Invariance of the Spanish Gamblers’ Beliefs Questionnaire Between Gamblers in the United States and Argentina
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Studies have been conducted in both the United States (US) and Argentina to validate the Spanish version of the Gamblers’ Beliefs Questionnaire (GBQ-S). While similar factor structures of the GBQ-S were found in these studies, more detailed measurement invariance has not been explored. Determining measurement invariance across cultural groups would aid researchers in understanding what types of comparisons on latent constructs can be validly made between cultures using the GBQ-S. A secondary analysis was completed with data from two prior studies in Spanish-speaking samples from the US and Argentina. A modified baseline model that captured the two latent factors of Illusion of Control and Luck/Perseverance was selected for invariance testing. The evaluation of measurement invariance within a structural equation modeling framework established configural and metric, but not scalar, invariance. The GBQ-S can be validly used to measure the same latent variables across groups with comparable strengths between its items and factors; however, latent mean comparisons across groups may require further measurement refinement. The GBQ-S demonstrated notable degrees of measurement invariance between markedly different samples, providing further evidence for the existence of similar constructs and portability of the GBQ-S across populations.
KeywordsGambling Cognitive distortions Measurement invariance Gamblers’ Beliefs Questionnaire
Compliance with Ethical Standards
Conflict of Interest
The authors declare that they have no conflicts of interest.
All procedures performed in this study involving human participants were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki declaration and its later amendments and comparable ethical standards.
- American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders: DSM-5. Washington, DC: Author.Google Scholar
- Kline, R. B. (2012). Assumptions in structural equation modeling. In R. Hoyle (Ed.), Handbook of structural equation modeling (pp. 111–125). New York: Guilford Press.Google Scholar
- Kline, R. B. (2016). Multiple samples analysis and measurement invariance. In Principles and practices of structural equation modeling (pp. 394–423). New York: The Guildford Press.Google Scholar
- Ladouceur, R., & Walker, M. (1996). A cognitive perspective on gambling. In P. M. Salkovskies (Ed.), Trends in cognitive and behavioural therapies (pp. 89–120). Chester: John Wiley and Sons.Google Scholar
- Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics. Boston: Pearson.Google Scholar
- US Department of Commerce Economics and Statistics Administration (2012). La población hispana: 2010. Retrieved from https://www.census.gov/prod/cen2010/briefs/c2010br-04sp.pdf
- Whelan, J. P., Steenbergh, T. A., & Meyers, A. W. (2007). Problem and pathological gambling. Cambridge: Hogrefe & Huber.Google Scholar
- Winfree, W. R., Ginley, M. K., Whelan, J. P., & Meyers, A. W. (2015). Psychometric evaluation of the Gamblers’ Beliefs Questionnaire with treatment-seeking disordered gamblers. Addictive Behaviors, 4397-102.Google Scholar
- Yakovenko, I., Hodgins, D. C., el-Guebaly, N., Casey, D. M., Currie, S. R., Smith, G. J., Williams, R. J. & Schopflocher, D. P. (2016). Cognitive distortions predict future gambling involvement. International Gambling Studies, 16(2), 175–192.Google Scholar