Varieties of Religious and Pornographic Experience: Latent Growth in Adolescents’ Religiosity and Pornography Use

References

• Argue, A., Johnson, D. R., & White, L. K. (1999). Age and religiosity: Evidence from a three-wave panel analysis. Journal for the Scientific Study of Religion, 38(3), 423. doi:10.2307/1387762
   Web of Science ®Google Scholar
• Arulogun, O. S., Ogbu, I. A., & Dipeolu, I. O. (2016). Influence of internet exposure on sexual behaviour of young persons in an urban district of Southwest Nigeria. Pan African Medical Journal, 25, 261. doi:10.11604/pamj.2016.25.261.2630
   PubMed Web of Science ®Google Scholar
• Baumeister, R. F. (2000). Gender differences in erotic plasticity: The female sex drive as socially flexible and responsive. Psychological Bulletin, 126(3), 347. doi:10.1037/0033-2909.126.3.347
   PubMed Web of Science ®Google Scholar
• Beyens, I., Vandenbosch, L., & Eggermont, S. (2015). Early Adolescent Boys’ exposure to Internet pornography: Relationships to pubertal timing, sensation seeking, and academic performance. The Journal of Early Adolescence, 20, 1–32. doi:10.1177/0272431613511332
   Google Scholar
• Blakemore, S.-J., & Mills, K. L. (2014). Is adolescence a sensitive period for sociocultural processing? Annual Review of Psychology, 65(1), 187–207. doi:10.1146/annurev-psych-010213-115202
   PubMed Web of Science ®Google Scholar
• Bollen, K. A., & Curran, P. J. (2006). Latent curve models: A structural equation perspective. Hoboken, NJ: Wiley.
   Google Scholar
• Brosius, H., Weaver, J. B., & Staab, J. F. (1993). Exploring the social and sexual “reality” of contemporary pornography. Journal of Sex Research, 30(2), 161–170. doi:10.1080/00224499309551697
   Web of Science ®Google Scholar
• Byrne, B. M. (2010). Structural equation modeling with AMOS: Basic concepts, applications, and programming. New York, NY: Routledge.
   Google Scholar
• Carroll, J. S., Padilla-Walker, L. M., Nelson, L. J., Olson, C. D., Barry, C. M. N., & Madsen, S. D. (2008). Generation XXX: Pornography acceptance and use among emerging adults. Journal of Adolescent Research, 23(1), 6–30. doi:10.1177/0743558407306348
   Web of Science ®Google Scholar
• Curran, P. J., Obeidat, K., & Losardo, D. (2010). Twelve frequently asked questions about growth curve modeling. Journal of Cognition and Development, 11(2), 121–136. doi:10.1080/15248371003699969
   PubMed Web of Science ®Google Scholar
• Denton, M. L., Pearce, L. D., & Smith, C. (2008). Religion and spirituality on the path through adolescence, research report number 8. National Study of Youth and Religion. Chapel Hill, NC: University of North Carolina.
   Google Scholar
• Duncan, T. E., & Duncan, S. C. (2009). The ABC’s of LGM: An introductory guide to latent variable growth curve modeling. Social and Personality Psychology Compass, 3(6), 979–991. doi:10.1111/j.1751-9004.2009.00224.x
   PubMedGoogle Scholar
• Festinger, L. (1957). A theory of cognitive dissonance. Stanford, CA: Stanford University Press.
   Google Scholar
• Graham, J. W. (2012). Missing data. New York, NY: Springer New York. doi:10.1007/978-1-4614-4018-5_2
   Google Scholar
• Hald, G. M. (2006). Gender differences in pornography consumption among young heterosexual danish adults. Archives of Sexual Behavior, 35(5), 577–585. doi:10.1007/s10508-006-9064-0
   PubMed Web of Science ®Google Scholar
• Hayward, R. D., & Krause, N. (2013). Patterns of change in religious service attendance across the life course: Evidence from a 34-year longitudinal study. Social Science Research, 42(6), 1480–1489. doi:10.1016/j.ssresearch.2013.06.010
   PubMed Web of Science ®Google Scholar
• Hodžić, A., & Štulhofer, A. (2017). Embryo, teddy bear-centaur and the constitution: Mobilizations against “gender ideology” and sexual permissiveness in Croatia. In R. Kuhar & D. Paternotte (Eds.), Anti-gender campaigns in Europe: Mobilizing against equality (pp. 59–78). London, UK: Rowman & Littlefield.
   Google Scholar
• Kuyper, L., De Wit, J., Adam, P., & Woertman, L. (2012). Doing more good than harm? The effects of participation in sex research on young people in the Netherlands. Archives of Sexual Behavior, 41(2), 497–506. doi:10.1007/s10508-011-9780-y
   PubMed Web of Science ®Google Scholar
• Landripet, I., Štulhofer, A., & Baćak, V. (2011). Changes in human immunodeficiency virus and sexually transmitted infections-related sexual risk taking among young Croatian adults: Findings from the 2005 and 2010 population-based surveys. Croatian Medical Journal, 52(4), 458–468. doi:10.3325/cmj.2011.52.458
   PubMed Web of Science ®Google Scholar
• Little, T. D. (2013). Longitudinal structural equation modeling. New York, NY: Guilford Press.
   Google Scholar
• Luijkx, R., Halman, L., Sieben, I., Brislinger, E., & Quandt, M. (2016). European values in numbers. Brill. doi:10.1163/9789004328525. Leiden, The Netherlands: Brill.
   Google Scholar
• Mahapatra, B., & Saggurti, N. (2014). Exposure to pornographic videos and its effect on HIV-related sexual risk behaviours among male migrant workers in Southern India. PLoS ONE, 9(11), e113599. doi:10.1371/journal.pone.0113599
   PubMed Web of Science ®Google Scholar
• Marinović Jerolimov, D., & Jokić, B. (2010). Religion and youth in Croatia. In G. Giordan (Ed.), Annual review of the sociology of religion. Volume 1: Youth and religion (pp. 307–327). Leiden, Boston: Brill.
   Google Scholar
• McArdle, J. J., & Grimm, K. J. (2010). Five steps in latent curve and latent change score modeling with longitudinal data. In K. Van Montfort, J. H. L. Oud, & A. Satorra (Eds.), Longitudinal research with latent variables (pp. 245–273). Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-642-11760-2_8
   Google Scholar
• Mcpherson, M., Smith-Lovin, L., & Cook, J. (2001). Birds of a feather: Homophily in social networks. Annual Review of Sociology, 27(1), 415–441. doi:10.1146/annurev.soc.27.1.415
   Web of Science ®Google Scholar
• Miller, A. S., & Stark, R. (2002). Gender and religiousness: Can socialization explanations be saved? American Journal of Sociology, 107(6), 1399–1423. doi:10.1086/342557
   Web of Science ®Google Scholar
• Muthén, B. O., & Curran, P. J. (1997). General longitudinal modeling of individual differences in experimental designs: A latent variable framework for analysis and power estimation. Psychological Methods, 2(4), 371–402. doi:10.1037/1082-989X.2.4.371
   Web of Science ®Google Scholar
• O’Sullivan, L. F., & Thompson, A. E. (2014). Sexuality in Adolescence. In D. Tolman & L. Diamond (Eds.), Handbook of sexuality and psychology: Vol. 1. Person-based approaches (pp. 433–486). Washington, DC: American Psychological Association.
   Google Scholar
• Patterson, R., & Price, J. (2012). Pornography, religion, and the happiness gap: Does pornography impact the actively religious differently? Journal for the Scientific Study of Religion, 51(1), 79–89. doi:10.1111/j.1468-5906.2011.01630.x
   PubMed Web of Science ®Google Scholar
• Perry, S. L. (2017). Does viewing pornography diminish religiosity over time? Evidence from two-wave panel data. Journal of Sex Research, 54(2), 214–226. doi:10.1080/00224499.2016.1146203
   PubMed Web of Science ®Google Scholar
• Perry, S. L., & Hayward, G. M. (2017). Seeing is (not) believing: How viewing pornography shapes the religious lives of young Americans. Social Forces, 95(4), 1757–1788. doi:10.1093/sf/sow106
   PubMed Web of Science ®Google Scholar
• Poulsen, F. O., Busby, D. M., & Galovan, A. M. (2013). Pornography use: Who uses it and how it is associated with couple outcomes. Journal of Sex Research, 50(1), 72–83. doi:10.1080/00224499.2011.648027
   PubMed Web of Science ®Google Scholar
• Preacher, K. J., Wichman, A. L., MacCallum, R. C., & Briggs, N. E. (2008). Latent growth curve modeling. Thousand Oaks, CA: Sage.
   Google Scholar
• Puzek, I., Štulhofer, A., & Božičević, I. (2012). Is religiosity a barrier to sexual and reproductive health? Results from a population-based study of young Croatian adults. Archives of Sexual Behavior, 41(6), 1497–1505. doi:10.1007/s10508-012-9924-8
   PubMed Web of Science ®Google Scholar
• Rasmussen, K., & Bierman, A. (2016). How does religious attendance shape trajectories of pornography use across adolescence? Journal of Adolescence, 49, 191–203. doi:10.1016/j.adolescence.2016.03.017
   PubMed Web of Science ®Google Scholar
• Sherkat, D. E., & Ellison, C. G. (1997). The cognitive structure of a moral crusade: Conservative protestantism and opposition to pornography. Social Forces, 75(3), 957. doi:10.2307/2580526
   Web of Science ®Google Scholar
• Sinković, M., Štulhofer, A., & Božić, J. (2013). Revisiting the association between pornography use and risky sexual behaviors: The role of early exposure to pornography and sexual sensation seeking. Journal of Sex Research, 50(7), 633–641. doi:10.1080/00224499.2012.681403
   PubMed Web of Science ®Google Scholar
• Smith, C., & Denton, M. L. (2005). Soul searching: The religious and spiritual lives of American Teenagers. Oxford, UK: Oxford University Press.
   Google Scholar
• Stack, S., Wasserman, I., & Kern, R. (2004). Adult social bonds and use of internet pornography. Social Science Quarterly, 85(1), 75–88. doi:10.1111/j.0038-4941.2004.08501006.x
   Web of Science ®Google Scholar
• Štulhofer, A., & Rimac, I. (2009). Determinants of homonegativity in Europe. Journal of Sex Research, 46(1), 24–32. doi:10.1080/00224490802398373
   PubMed Web of Science ®Google Scholar
• Štulhofer, A., Šoh, D., Jelaska, N., Bacak, V., & Landripet, I. (2011). Religiosity and sexual risk behavior among Croatian College students, 1998-2008. Journal of Sex Research, 48(4), 360–371. doi:10.1080/00224499.2010.494257
   PubMed Web of Science ®Google Scholar
• Vakilian, K., Mousavi, S., & Keramat, A. (2014). Estimation of sexual behavior in the 18-to-24-years-old Iranian youth based on a crosswise model study. BMC Research Notes, 7(1), 28. doi:10.1186/1756-0500-7-28
   PubMedGoogle Scholar
• Valkenburg, P. M., & Peter, J. (2013). The differential susceptibility to media effects model. Journal of Communication, 63(2), 221–243. doi:10.1111/jcom.12024
   Web of Science ®Google Scholar
• Wright, P. J. (2014). Pornography and the Sexual Socialization of Children: Current Knowledge and a Theoretical Future. Journal of Children and Media, 8(3), 305–312. doi:10.1080/17482798.2014.923606
   Google Scholar