Exploring a multidimensional concept of loss chasing using online sports betting records

References

• Adami, N., Benini, S., Boschetti, A., Canini, L., Maione, F., & Temporin, M. (2013). Markers of unsustainable gambling for early detection of at-risk online gamblers. International Gambling Studies, 13(2), 188–204. https://doi.org/10.1080/14459795.2012.754919
   Web of Science ®Google Scholar
• Auer, M., & Griffiths, M. D. (2017). Self-reported losses versus actual losses in online gambling: An empirical study. Journal of Gambling Studies, 33(3), 795–806. https://doi.org/10.1007/s10899-016-9648-0
   PubMed Web of Science ®Google Scholar
• Auer, M., & Griffiths, M. D. (2022). An empirical attempt to operationalize chasing losses in gambling utilizing account-based player tracking data. Journal of Gambling Studies, 1–15. https://doi.org/10.1007/s10899-022-10144-4
   Web of Science ®Google Scholar
• Balem, M., Perrot, B., Hardouin, J. B., Thiabaud, E., Saillard, A., Grall-Bronnec, M., & Challet-Bouju, G. (2022). Impact of wagering inducements on the gambling behaviors of on-line gamblers: A longitudinal study based on gambling tracking data. Addiction, 117(4), 1020. https://doi.org/10.1111/add.15665
   PubMed Web of Science ®Google Scholar
• Bibby, P. A., & Ross, K. E. (2017, December 1). Alexithymia predicts loss chasing for people at risk for problem gambling. Journal of Behavioral Addictions, 6(4), 630–638. Epub 2017 Nov 9. PMID: 29119797; PMCID: PMC6034961. https://doi.org/10.1556/2006.6.2017.076
   PubMed Web of Science ®Google Scholar
• Blaszczynski, A., & Nower, L. (2002). A pathways model of problem and pathological gambling. Addiction, 97(5), 487–499. https://doi.org/10.1046/j.1360-0443.2002.00015.x
   PubMed Web of Science ®Google Scholar
• Blesch, K., Hauser, O. P., & Jachimowicz, J. M. (2022). Measuring inequality beyond the Gini coefficient may clarify conflicting findings. Nature Human Behaviour, 6(11), 1525–1536. https://doi.org/10.1038/s41562-022-01430-7
   PubMed Web of Science ®Google Scholar
• Braverman, J., & Shaffer, H. J. (2012). How do gamblers start gambling: Identifying behavioural markers for high-risk internet gambling. The European Journal of Public Health, 22(2), 273–278. https://doi.org/10.1093/eurpub/ckp232
   PubMed Web of Science ®Google Scholar
• Braverman, J., Tom, M. A., & Shaffer, H. J. (2014). Accuracy of self-reported versus actual online gambling wins and losses. Psychological Assessment, 26(3), 865. https://doi.org/10.1037/a0036428
   PubMed Web of Science ®Google Scholar
• Brevers, D., He, Q., Xue, G., & Bechara, A. (2017). Neural correlates of the impact of prior outcomes on subsequent monetary decision-making in frequent poker players. Biological Psychology, 124, 30–38. https://doi.org/10.1016/j.biopsycho.2017.01.009
   PubMed Web of Science ®Google Scholar
• Campbell-Meiklejohn, D. K., Woolrich, M. W., Passingham, R. E., & Rogers, R. D. (2008, Feburary 1). Knowing when to stop: The brain mechanisms of chasing losses. Biological Psychiatry, 63(3), Epub 2007 Jul 27. PMID: 17662257, 293–300. https://doi.org/10.1016/j.biopsych.2007.05.014
   PubMed Web of Science ®Google Scholar
• Challet-Bouju, G., Hardouin, J. B., Thiabaud, E., Saillard, A., Donnio, Y., Grall-Bronnec, M., & Perrot, B. (2020). Modeling early gambling behavior using indicators from online lottery gambling tracking data: Longitudinal analysis. Journal of Medical Internet Research, 22(8), e17675.
   PubMed Web of Science ®Google Scholar
• Chen, Z., Doekemeijer, R. A., Noël, X., Verbruggen, F., & Merlhiot, G. (2022). Winning and losing in online gambling: Effects on within-session chasing. Plos One, 17(8), e0273359. https://doi.org/10.1371/journal.pone.0273359
   PubMed Web of Science ®Google Scholar
• Custer, R. L. (1984). Profile of the pathological gambler. The Journal of Clinical Psychiatry, 45(12 Pt 2), 35–38.
   PubMed Web of Science ®Google Scholar
• Delfabbro, P., Georgiou, N., & King, D. L. (2021). Measuring gambling harm: The influence of response scaling on estimates and the distribution of harm across PGSI categories. Journal of Gambling Studies, 37(2), 583–598. https://doi.org/10.1007/s10899-020-09954-1
   PubMed Web of Science ®Google Scholar
• Deng, X., Lesch, T., & Clark, L. (2019). Applying data science to behavioral analysis of online gambling. Current Addiction Reports, 6(3), 159–164. https://doi.org/10.1007/s40429-019-00269-9
   Google Scholar
• Edson, T. C., Louderback, E. R., Tom, M. A., Philander, K. S., Slabczynski, J. M., Lee, T. G., & LaPlante, D. A. (2023). A large-scale prospective study of big wins and their relationship with future involvement and risk among actual online sports bettors. Computers in Human Behavior, 142, 107657. https://doi.org/10.1016/j.chb.2023.107657
   Web of Science ®Google Scholar
• Edson, T. C., Tom, M. A., Philander, K. S., Louderback, E. R., & LaPlante, D. A. (2021). A large-scale prospective study of big wins and their relationship with future financial and time involvement in actual daily fantasy sports contests. Psychology of Addictive Behaviors, 35(8), 948–960. https://doi.org/10.1037/adb0000715
   PubMed Web of Science ®Google Scholar
• Ferris, J., & Wynne, H. (2001). The Canadian problem gambling Index: Final report. Canadian Centre on Substance Abuse.
   Google Scholar
• Gainsbury, S. M., Suhonen, N., & Saastamoinen, J. (2014, July 30). Chasing losses in online poker and casino games: Characteristics and game play of Internet gamblers at risk of disordered gambling. Psychiatry Research, 217(3), 220–225. Epub 2014 Apr 3. PMID: 24746392. https://doi.org/10.1016/j.psychres.2014.03.033
   PubMed Web of Science ®Google Scholar
• Hing, N., Russell, A. M., & Browne, M. (2017). Risk factors for gambling problems on online electronic gaming machines, race betting and sports betting. Frontiers in Psychology, 8, 779. https://doi.org/10.3389/fpsyg.2017.00779
   PubMed Web of Science ®Google Scholar
• Imas, A. (2016). The realization effect: Risk-taking after realized versus paper losses. American Economic Review, 106(8), 2086–2109. https://doi.org/10.1257/aer.20140386
   Web of Science ®Google Scholar
• Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291. https://doi.org/10.2307/1914185
   Web of Science ®Google Scholar
• LaPlante, D. A., Nelson, S. E., & Gray, H. M. (2014). Breadth and depth involvement: Understanding Internet gambling involvement and its relationship to gambling problems. Psychology of Addictive Behaviors, 28(2), 396–403. https://doi.org/10.1037/a0033810
   PubMed Web of Science ®Google Scholar
• Lister, J. J., Nower, L., & Wohl, M. J. (2016). Gambling goals predict chasing behavior during slot machine play. Addictive Behaviors, 62, 129–134. https://doi.org/10.1016/j.addbeh.2016.06.018
   PubMed Web of Science ®Google Scholar
• Louderback, E. R., LaPlante, D. A., Currie, S. R., & Nelson, S. E. (2021). Developing and validating lower risk online gambling thresholds with actual bettor data from a major Internet gambling operator. Psychology of Addictive Behaviors, 35(8), 921–938. https://doi.org/10.1037/adb0000628
   PubMed Web of Science ®Google Scholar
• Nigro, G., Matarazzo, O., Ciccarelli, M., D’Olimpio, F., & Cosenza, M. (2019). To chase or not to chase: A study on the role of mentalization and alcohol consumption in chasing behavior. Journal of Behavioral Addictions, 8(4), 743–753. https://doi.org/10.1556/2006.8.2019.67
   PubMed Web of Science ®Google Scholar
• Parke, A., Harris, A., Parke, J., & Goddard, P. (2016). Understanding within-session loss-chasing: An experimental investigation of the impact of stake size on cognitive control. Journal of Gambling Studies, 32(2), 721–735. https://doi.org/10.1007/s10899-015-9570-x
   PubMed Web of Science ®Google Scholar
• Parke, A., & Parke, J. (2019). Transformation of sports betting into a rapid and continuous gambling activity: A grounded theoretical investigation of problem sports betting in online settings. International Journal of Mental Health and Addiction, 17(6), 1340–1359. https://doi.org/10.1007/s11469-018-0049-8
   Web of Science ®Google Scholar
• Percy, C., França, M., Dragičević, S., & d’Avila Garcez, A. (2016). Predicting online gambling self-exclusion: An analysis of the performance of supervised machine learning models. International Gambling Studies, 16(2), 193–210. https://doi.org/10.1080/14459795.2016.1151913
   Web of Science ®Google Scholar
• Perrot, B., Hardouin, J. B., Grall-Bronnec, M., & Challet-Bouju, G. (2018). Typology of online lotteries and scratch games gamblers' behaviours: A multilevel latent class cluster analysis applied to player account-based gambling data. International Journal of Methods in Psychiatric Research, 27(4), e1746.
   PubMed Web of Science ®Google Scholar
• Potenza, M. N., Balodis, I. M., Derevensky, J., Grant, J. E., Petry, N. M., Verdejo-Garcia, A., & Yip, S. W. (2019). Gambling disorder. Nature Reviews Disease Primers, 5(1), 1–21. https://doi.org/10.1038/s41572-019-0099-7
   PubMedGoogle Scholar
• Schoonmaker, A. N. (2000). The psychology of poker. Two Plus Two Publishing LLC.
   Google Scholar
• Sleczka, P., Braun, B., Piontek, D., Bühringer, G., & Kraus, L. (2015). DSM-5 criteria for gambling disorder: Underlying structure and applicability to specific groups of gamblers. Journal of Behavioral Addictions, 4(4), 226–235. https://doi.org/10.1556/2006.4.2015.035
   PubMed Web of Science ®Google Scholar
• Stevens, M., & Livingstone, C. (2019). Evaluating changes in electronic gambling machine policy on user losses in an Australian jurisdiction. BMC Public Health, 19(1), 1–15. https://doi.org/10.1186/s12889-019-6814-1
   PubMedGoogle Scholar
• Stinchfield, R., Govoni, R., & Ron Frisch, G. (2005). DSM-IV diagnostic criteria for pathological gambling: Reliability, validity, and classification accuracy. The American Journal on Addictions, 14(1), 73–82. https://doi.org/10.1080/10550490590899871
   PubMed Web of Science ®Google Scholar
• Wang, J., Lu, Z., & Cohen, A. S. (2015). The sensitivity analysis of two-level hierarchical linear models to outliers. Quantitative Psychology Research: The 79th Annual Meeting of the Psychometric Society, Madison, Wisconsin, 2014 (pp. 307–320). Springer International Publishing.
   Google Scholar
• Weatherly, J. N., Sauter, J. M., & King, B. M. (2004). The“big win” and resistance to extinction when gambling. The Journal of Psychology, 138(6), 495–504. https://doi.org/10.3200/JRLP.138.6.495-504
   PubMed Web of Science ®Google Scholar
• Yechiam, E., & Hochman, G. (2013). Losses as modulators of attention: Review and analysis of the unique effects of losses over gains. Psychological Bulletin, 139(2), 497. https://doi.org/10.1037/a0029383
   PubMed Web of Science ®Google Scholar
• Zhang, K., & Clark, L. (2020). Loss-chasing in gambling behaviour: Neurocognitive and behavioural economic perspectives. Current Opinion in Behavioral Sciences, 31, 1–7. https://doi.org/10.1016/j.cobeha.2019.10.006
   Web of Science ®Google Scholar