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      Placing your faith on the betting floor: Religiosity predicts disordered gambling via gambling fallacies

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          Abstract

          Background and aims

          We examined the potential role religious beliefs may play in disordered gambling. Specifically, we tested the idea that religiosity primes people to place their faith in good fortune or a higher power. In the context of gambling, however, this may lead to gambling fallacies (e.g., erroneous beliefs that one has control over a random outcome). People who are high in religiosity may be more at risk of developing gambling fallacies, as they may believe that a higher power can influence a game of chance. Thus, this research investigated the relationship between religiosity and gambling problems and whether gambling fallacies mediated this relationship.

          Methods

          In Study 1, we recruited an online sample from Amazon's Mechanical Turk to complete measures that assessed the central constructs (religiosity, disordered gambling, and gambling fallacies). In Study 2, we conducted a secondary analysis of a large data set of representative adults ( N = 4,121) from a Canadian province, which contained measures that assessed the constructs of interest.

          Results

          In Study 1, religiosity significantly predicted gambling problem. Conversely, there was no direct relationship between religiosity and gambling in Study 2. Importantly, a significant indirect effect of religiosity on disordered gambling severity through gambling fallacies was found in both studies, thus establishing mediation. The results remained the same when controlling for age, gender, ethnicity, and socioeconomic status for both studies.

          Discussion and conclusion

          These findings suggest religiosity and its propensity to be associated with gambling fallacies, which should be considered in the progression (and possibly treatment) of gambling.

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          Most cited references44

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          SPSS and SAS procedures for estimating indirect effects in simple mediation models

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            Beyond Baron and Kenny: Statistical Mediation Analysis in the New Millennium

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              Mediation analysis.

              Mediating variables are prominent in psychological theory and research. A mediating variable transmits the effect of an independent variable on a dependent variable. Differences between mediating variables and confounders, moderators, and covariates are outlined. Statistical methods to assess mediation and modern comprehensive approaches are described. Future directions for mediation analysis are discussed.
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                Author and article information

                Journal
                jba
                JBA
                Journal of Behavioral Addictions
                J Behav Addict
                Akadémiai Kiadó (Budapest )
                2062-5871
                2063-5303
                07 April 2018
                June 2018
                : 7
                : 2
                : 401-409
                Affiliations
                [ 1 ]Department of Psychology, University of Calgary , Ottawa, ON, Canada
                [ 2 ]Department of Psychology, University of Guelph , Guelph, ON, Canada
                [ 3 ] Gambling Research Exchange Ontario , Guelph, ON, Canada
                [ 4 ]Department of Psychology, Carleton University , Ottawa, ON, Canada
                Author notes
                [* ]Corresponding author: Michael J. A. Wohl; Department of Psychology, Carleton University, 1125 Colonel By Drive, Ottawa, ON K1S 5B6, Canada; Phone: +1 902 520 2600/2908; Fax: +1 613 520 3667; E-mail: michael.wohl@ 123456carleton.ca
                Article
                10.1556/2006.7.2018.23
                4e3f9305-1311-43f9-911c-860b1714a60f
                © 2018 The Author(s)

                This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium for non-commercial purposes, provided the original author and source are credited, a link to the CC License is provided, and changes – if any – are indicated.

                History
                : 23 October 2017
                : 18 January 2018
                : 19 February 2018
                : 11 March 2018
                Page count
                Figures: 2, Tables: 3, Equations: 0, References: 42, Pages: 9
                Funding
                Funding sources: No financial support was received for this study.
                Categories
                FULL-LENGTH REPORT

                Evolutionary Biology,Medicine,Psychology,Educational research & Statistics,Social & Behavioral Sciences
                religiosity,gambling fallacies,gambling problems

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