Gambling lifestyles: The importance of social capital and diverse networks

References

• Akaike, H. (1973). Maximum likelihood identification of Gaussian autoregressive moving average models. Biometrika, 60(2), 255–265. https://doi.org/10.1093/biomet/60.2.255
   Web of Science ®Google Scholar
• Bennett, T., Savage, M., Silva, E. B., Warde, A., Gayo-Cal, M., & Wright, D. (2008). Culture, Class, Distinction (1st ed.). Routledge. https://doi.org/10.4324/9780203930571
   Google Scholar
• Binde, P. (2005a). Gambling across cultures: Mapping worldwide occurrence and learning from ethnographic comparison. International Gambling Studies, 5(1), 1–27. https://doi.org/10.1080/14459790500097913
   Google Scholar
• Binde, P. (2005b). Gambling, exchange systems, and moralities. Journal of Gambling Studies, 21(4), 445–479. https://doi.org/10.1007/s10899-005-5558-2
   PubMed Web of Science ®Google Scholar
• Binde, P. (2013). Why people gamble: A model with five motivational dimensions. International Gambling Studies, 13(1), 81–97. https://doi.org/10.1080/14459795.2012.712150
   Web of Science ®Google Scholar
• Bitanihirwe, B. K., & Ssewanyana, D. (2021). Gambling patterns and problem gambling among youth in Sub-Saharan Africa: A systematic review. Journal of Gambling Studies, 37(3), 723–745. https://doi.org/10.1007/s10899-021-10001-w
   PubMed Web of Science ®Google Scholar
• Bloch, H. (1951). The sociology of gambling. The American Journal of Sociology, 57(3), 215–221. https://doi.org/10.1086/220938
   Web of Science ®Google Scholar
• Bourdieu, P. (1984). Distinction. Routledge.
   Google Scholar
• Bozdogan, H. (1987). Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions. Psychometrika, 52(3), 345–370. https://doi.org/10.1007/BF02294361
   Web of Science ®Google Scholar
• Bray, B. C., Lanza, S. T., & Tan, X. (2015). Eliminating bias in classify-analyse approaches for latent class analysis. Structural Equation Modeling: A Multidisciplinary Journal, 22(1), 1–11. https://doi.org/10.1080/10705511.2014.935265
   PubMed Web of Science ®Google Scholar
• Casey, E. (2008). Working class women, gambling and the dream of happiness. Feminist Review, 89(1), 122–137. https://doi.org/10.1057/fr.2008.2
   Web of Science ®Google Scholar
• Chamberlain, S. R., Stochl, J., Redden, S. A., Odlaug, B. L., & Grant, J. E. (2017). Latent class analysis of gambling subtypes and impulsive/compulsive associations: Time to rethink diagnostic boundaries for gambling disorder? Addictive Behaviors, 72, 79–85. https://doi.org/10.1016/j.addbeh.2017.03.020
   PubMed Web of Science ®Google Scholar
• Cotte, J., & Latour, K. A. (2009). Blackjack in the kitchen: Understanding online versus casino gambling. The Journal of Consumer Research, 35(5), 742–758. https://doi.org/10.1086/592945
   Web of Science ®Google Scholar
• Crossley, N. (2010). Towards Relational Sociology. 1st. Routledge. https://doi.org/10.4324/9780203887066.
   Google Scholar
• De Grove, F. (2014). Youth, friendship, and gaming: A network perspective, youth, friendship, and gaming: A network perspective. Cyberpsychology, Behavior and Social Networking, 17(9), 603–608. https://doi.org/10.1089/cyber.2014.0088
   PubMed Web of Science ®Google Scholar
• De Luigi, N., Gibertoni, D., Randon, E., & Scorcu, A. E. (2018). Patterns of gambling activities and gambling problems among Italian high school students: Results from a latent class analysis. Journal of Gambling Studies, 34(2), 339–359. https://doi.org/10.1007/s10899-017-9694-2
   PubMed Web of Science ®Google Scholar
• Erickson, B. H. (1996). Culture, class, and connections. American Journal of Sociology, 102(1), 217–251. https://doi.org/10.1086/230912
   Web of Science ®Google Scholar
• Fang, X., & Mowen, J. C. (2009). Examining the trait & functional motive antecedents of four gambling activities: Slot machines, skilled card games, sports betting & promotional games. Journal of Consumer Marketing, 26(2), 281–286. https://doi.org/10.1108/07363760910940483
   Google Scholar
• Goodman, L. A. (2007). 1. On the assignment of individuals to latent classes. Sociological Methodology, 37(1), 1–22. https://doi.org/10.1111/j.1467-9531.2007.00184.x
   Web of Science ®Google Scholar
• Gordon, R., Gurrieri, L., & Chapman, M. (2015). Broadening an understanding of ProblemGambling: The lifestyle consumption community of sports betting. Journal of Business Research, 68(10), 2164–2172. https://doi.org/10.1016/j.jbusres.2015.03.016
   Web of Science ®Google Scholar
• Gordon, R., & Reith, G. (2019). Gambling as social practice: A complementary approach for reducing harm? Harm Reduction Journal, 16(1), 64. https://doi.org/10.1186/s12954-019-0342-2
   PubMed Web of Science ®Google Scholar
• Granovetter, M. (1973). The strength of weak ties. The American Journal of Sociology, 78(6), 1360–1380. https://doi.org/10.1086/225469
   Web of Science ®Google Scholar
• Granovetter, M. (1982). The strength of weak ties: A network theory revisited. In P. Marsden & N. Lin (Eds.), Social structure and network analysis (pp. 105–129). Sage Publications.
   Google Scholar
• Gupta, R., & Derevensky, J. L. (2000). Adolescents with gambling problems: From research to treatment. Journal of Gambling Studies, 16(2/3), 315–342. https://doi.org/10.1023/A:1009493200768
   PubMedGoogle Scholar
• Hombas, V. C., & Baloglou, C. P. (2005). Gambling in Greek antiquity. Chance, 18(2), 49–50. https://doi.org/10.1080/09332480.2005.10722721
   Google Scholar
• Hope, J., & Havir, L. (2002). You bet they’re having fun!: Older Americans and casino gambling. Journal of Aging Studies, 16(2), 177–197. https://doi.org/10.1016/S0890-4065(02)00043-9
   Web of Science ®Google Scholar
• Johansson, A., Grant, J. E., Kim, S. W., Odlaug, B. L., & Götestam, K. G. (2009). Risk factors for problematic gambling: A critical literature review. Journal of Gambling Studies, 25(1), 67–92. https://doi.org/10.1007/s10899-008-9088-6
   PubMed Web of Science ®Google Scholar
• Kane, D. (2004). A network approach to the puzzle of women's cultural participation. Poetics, 32(2), 105–127. https://doi.org/10.1016/j.poetic.2004.02.003
   Web of Science ®Google Scholar
• Kim, K., & Altmann, J. (2017). Effect of Homophily on network formation. Communications in Nonlinear Science & Numerical Simulation, 44, 482–494. https://doi.org/10.1016/j.cnsns.2016.08.011
   Web of Science ®Google Scholar
• Kwon, S. -W., & Adler, P. S. (2014). Social capital: Maturation of a field of research. Academy of Management Review, 39(4), 412–422. https://doi.org/10.5465/amr.2014.0210
   Web of Science ®Google Scholar
• Lamont, M., & Hing, N. (2020). Sports betting motivations among young men: An adaptive theory analysis. Leisure Sciences, 42(2), 185–204. https://doi.org/10.1080/01490400.2018.1483852
   Web of Science ®Google Scholar
• Lanza, S. T., Collins, L. M., Lemmon, D. R., & Schafer, J. L. (2007). PROC LCA: A SAS procedure for latent class analysis. Structural Equation Modeling: A Multidisciplinary Journal, 14(4), 671–694. https://doi.org/10.1080/10705510701575602
   PubMed Web of Science ®Google Scholar
• Lazarsfeld, P. F., & Merton, R. K. (1954). Friendship as a social process: A substantive and methodological analysis. In M Berger (Ed.), Freedom and control in modern society (pp. 18–66). New York: Van Nostrand.
   Google Scholar
• Lin, N. (1999). Social networks and status attainment. Annual Review of Sociology, 25(1), 467–487. https://doi.org/10.1146/annurev.soc.25.1.467
   Web of Science ®Google Scholar
• Linzer, D. A., & Lewis, J. (2011). poLCA an R package for polytomous variable latent class analysis. Journal of Statistical Software, 42(10), 1–29. https://doi.org/10.18637/jss.v042.i10
   Web of Science ®Google Scholar
• Lizardo, O. (2006). How cultural tastes shape personal networks. American Sociological Review, 71(5), 778–807. https://doi.org/10.1177/000312240607100504
   Web of Science ®Google Scholar
• Mark, N. (1998). Culture and competition: A critical test of homophily and distinction explanations for cultural niches. The University of Arizona.
   Google Scholar
• Mazar, A., Williams, R. J., Stanek, E. J., Zorn, M., & Volberg, R. A. (2018). The importance of friends and family to recreational gambling, at-risk gambling, and problem gambling. BMC Public Health, 18(1), 1080. https://doi.org/10.1186/s12889-018-5988-2
   PubMed Web of Science ®Google Scholar
• McManus, P., & Graham, R. (2014). Horse racing and gambling: Comparing attitudes and preferences of racetrack patrons and residents of Sydney, Australia. Leisure Studies, 33(4), 400–417. https://doi.org/10.1080/02614367.2012.748088
   Web of Science ®Google Scholar
• McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). Birds of a feather: Homophily in social networks. Annual Review of Sociology, 27(1), 415–444. https://doi.org/10.1146/annurev.soc.27.1.415
   Web of Science ®Google Scholar
• Meisel, M. K., Clifton, A. D., MacKillop, J., Miller, J. D., Campbell, W. K., & Goodie, A. S. (2012). EgoceNtric social network analysis of pathological gambling. Addiction, 108(3), 584–591. https://doi.org/10.1111/add.12014
   PubMed Web of Science ®Google Scholar
• Millward, P., Widdop, P., & Halpin, M. (2017). A ‘Different Class’? Homophily and Heterophily in the social class networks of Britpop. Cultural Sociology, 11(3), 318–336. https://doi.org/10.1177/1749975517712045
   Web of Science ®Google Scholar
• Moody, A. (2013). Sports Betting Basics. CreateSpace Independent Publications.
   Google Scholar
• Nagin, D. (2005). Group-based modeling of development. Harvard University Press.
   Google Scholar
• Neal, M. (2005). ‘I lose, but that’s not the point’: Situated Economic and Social Rationalities in Horserace Gambling. Leisure Studies, 24(3), 291–310. https://doi.org/10.1080/02614360500116381
   Google Scholar
• Neighbors, C., & Larimer, M. E. (2004). Self-determinaTion and problem gambling among college students. Journal of Social & Clinical Psychology, 23(4), 565–583. https://doi.org/10.1521/jscp.23.4.565.40310
   Web of Science ®Google Scholar
• Neighbors, C., Lostutter, T. W., Cronce, J. M., & Larimer, M. E. (2002). Exploring college student gambling motivation. Journal of Gambling Studies, 18(4), 361–370. https://doi.org/10.1023/A:1021065116500
   PubMedGoogle Scholar
• Peterson, R. A., & Kern, R. M. (1996). Changing highbrow taste: From Snob to Omnivore. American Sociological Review, 61(5), 900–907. https://doi.org/10.2307/2096460
   Web of Science ®Google Scholar
• R Core Team. (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/
   Google Scholar
• Reith, G., & Dobbie, F. (2011). Beginning gambling: The role of social networks and environment. Addiction Research & Theory, 19(6), 483–493. https://doi.org/10.3109/16066359.2011.558955
   Web of Science ®Google Scholar
• Rogers, E. M., & Bhowmik, D. K. (1970). Homophily-Heterophily: RelatioNal concepts for communication research. Public Opinion Quarterly, 34(4), 523–538. https://doi.org/10.1086/267838
   Web of Science ®Google Scholar
• Saunders, D. M., & Turner, D. E. (1987). Gambling and leisure: The case of racing. Leisure Studies, 6(3), 281–299. https://doi.org/10.1080/02614368700390221
   Google Scholar
• Schwarz, G. (1978). Estimating the dimension of a model. The Annals of Statistics, 461–464. https://www.jstor.org/stable/2958889
   Web of Science ®Google Scholar
• Sclove, S. L. (1987). Application of model-selection criteria to some problems in multivariate analysis. Psychometrika, 52, 333–343. https://doi.org/10.1007/BF02294360
   Web of Science ®Google Scholar
• Shinaprayoon, T., Carter, N. T., & Goodie, A. S. (2017). The Modified Gambling Motivation Scale: Confirmatory Factor Analysis and Links With Problem Gambling. Journal of Gambling Issues, (37). https://doi.org/10.4309/jgi.2018.37.5
   Google Scholar
• Shinaprayoon, T., Carter, N. T., & Goodie, A. S. (2017). The Modified Gambling Motivation Scale: Confirmatory Factor Analysis and Links With Problem Gambling. Journal of Gambling Issues, (37). http://dx.doi.org/10.4309/jgi.2018.37.5
   Google Scholar
• Studer, J., Baggio, S., Mohler-Kuo, M., Simon, O., Daeppen, J. B., & Gmel, G. (2016). Latent class analysis of gambling activities in a sample of young Swiss men: Association with gambling problems, substance use outcomes, personality traits and coping strategies. Journal of Gambling Studies, 32(2), 421–440. https://doi.org/10.1007/s10899-015-9547-9
   PubMed Web of Science ®Google Scholar
• Venables, W. N., & Ripley, B. D. (2002). Modern Applied Statistics with S (Fourth ed.). Springer.
   Google Scholar
• Verhaeghe, P. P., & Tampubolon, G. (2012). Individual social capital, neighbourhood deprivation, and self-rated health in England. Social Science & Medicine, 75(2), 349–357. https://doi.org/10.1016/j.socscimed.2012.02.057
   PubMed Web of Science ®Google Scholar
• Volberg, R. A., & Banks, S. M. (2002). A new approach to understanding gambling and problem gambling in the general population. In Marotta, JJ, Cornelius, JA, & Eadington, WR (Eds.), The Downside: ProbLem and pathological gambling (pp. 309–323). Institute for the Study of Gambling and Commercial Gaming, University of Nevada.
   Google Scholar
• Welte, J. W., Wieczorek, W. F., Barnes, G. M., & Tidwell, M. C. O. (2006). Multiple risk factors for frequent and problem gambling: Individual, social, and ecological. Journal of Applied Social Psychology, 36(6), 1548–1568. https://doi.org/10.1111/j.0021-9029.2006.00071.x
   Web of Science ®Google Scholar
• Widdop, P., Cutts, D., & Jarvie, G. (2016). Omnivorousness in Sport: The importance of social capital and networks. International Review for the Sociology of Sport, 51(5), 596–616. https://doi.org/10.1177/1012690214541101
   Web of Science ®Google Scholar
• Zhang, C., Lu, T., Chen, S., & Zhang, C. (2017). Integrating ego, homophily and structural factors to measure user influence in online community. Ieee Transactions on Professional Communication, 60(3), 292–305. https://doi.org/10.1109/TPC.2017.2703038
   Web of Science ®Google Scholar