Transgression as Addiction: Religiosity and Moral Disapproval as Predictors of Perceived Addiction to Pornography
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Perceived addiction to Internet pornography is increasingly a focus of empirical attention. The present study examined the role that religious belief and moral disapproval of pornography use play in the experience of perceived addiction to Internet pornography. Results from two studies in undergraduate samples (Study 1, N = 331; Study 2, N = 97) indicated that there was a robust positive relationship between religiosity and perceived addiction to pornography and that this relationship was mediated by moral disapproval of pornography use. These results persisted even when actual use of pornography was controlled. Furthermore, although religiosity was negatively predictive of acknowledging any pornography use, among pornography users, religiosity was unrelated to actual levels of use. A structural equation model from a web-based sample of adults (Study 3, N = 208) revealed similar results. Specifically, religiosity was robustly predictive of perceived addiction, even when relevant covariates (e.g., trait self-control, socially desirable responding, neuroticism, use of pornography) were held constant. In sum, the present study indicated that religiosity and moral disapproval of pornography use were robust predictors of perceived addiction to Internet pornography while being unrelated to actual levels of use among pornography consumers.
KeywordsInternet pornography Religiosity Addiction Morality Sexuality
In funding Study 1, we gratefully acknowledge support from the John Templeton Foundation, Grant # 36094: Study 3 was funded by a Research Seed Award Grant awarded to the first author of this manuscript by the American Psychological Association’s Division 36 (The Society for the Psychology of Religion and Spirituality).
- Abell, J. W., Steenbergh, T. A., & Boivin, M. J. (2006). Cyberporn use in the context of religiosity. Journal of Psychology and Theology, 34, 165–171.Google Scholar
- Buhrmester, M., Kwang, T., & Gosling, S. D. (2011). Amazon’s mechanical turk: A new source of inexpensive, yet high-quality, data? Perspectives on Psychological Science, 6, 3–5.Google Scholar
- Egan, V., & Parmar, R. (2013). Dirty habits? Online pornography use, personality, obsessionality, and compulsivity. Journal of Sex & Marital Therapy, 39, 394–409.Google Scholar
- Grubbs, J. B., Exline, J. J., and Volk, F. (2012, August). Internet pornography and spiritual struggle: A preliminary analysis. Presentation at the meeting of the American Psychological Association, Orlando, FL.Google Scholar
- Grubbs, J. B., Volk, F., Exline, J. J., & Pargament, K. I. (2014). Internet pornography use: Perceived addiction, psychological distress, and the validation of a brief measure. Journal of Sex and Marital Therapy. doi: 10.1080/0092623X.2013.842192.
- Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis. New York, NY: Guilford.Google Scholar
- Hook, J. N., Reid, R. C., Penberthy, J. K., Davis, D. E., & Jennings, D. J. (2013). Methodological review of treatments for non-paraphilic hypersexual behavior. Journal of Sex & Marital Therapy. doi: 10.1080/0092623X.2012.751075.
- John, O. P., Donahue, E. M., & Kentle, R. L. (1991). The Big Five Inventory: Versions 4a and 54. Berkeley: University of California, Berkeley, Institute of Personality and Social Research.Google Scholar
- Kwee, A. W., Dominguez, A. W., & Ferrell, D. (2007). Sexual addiction and Christian college men: Conceptual, assessment, and treatment challenges. Journal of Psychology and Christianity, 26, 3–13.Google Scholar
- R Development Core Team. (2008). R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing.Google Scholar
- Reynolds, W. M. (1982). Development of reliable and valid short forms of the Marlowe-Crowne Social Desirability Scale. Journal of Clinical Psychology, 38, 119–125.Google Scholar
- Rosseel, Y. (2012). Lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48. Retrieved from http://www.jstatsoft.org/v48/i02.
- Sessoms, J., Grubbs, J. B., & Exline, J. J. (2011, April). The Cyber-Pornography Use Inventory: A comparison of a religious and secular sample. Poster presented at the Conference on Religion and Spirituality, Columbia, MD.Google Scholar
- Tangney, J. P., Baumeister, R. F., & Boone, A. L. (2004). High self-control predicts good adjustment, less pathology, better grades, and interpersonal success. Journal of Personality, 72, 271–324.Google Scholar
- Womack, S. D., Hook, J. N., Ramos, M., Davis, D. E., & Penberthy, J. K. (2013). Measuring hypersexual behavior. Sexual Addiction & Compulsivity, 20, 65–78.Google Scholar