Comparison of telephone RDD and online panel survey modes on CPGI scores and co-morbidities

References

• American Association for Public Opinion Research. (2011). Standard definitions: Final dispositions of case codes and outcome rates for surveys (7th ed.). Deerfield, IL: AAPOR.
   Google Scholar
• Berrens, R. P., Bohara, A. K., Smith, H. J., Silva, C., & Weimer, D. L. (2003). The advent of Internet surveys for political research: A comparison of telephone and Internet samples. Political Analysis, 11(1), 1–22. doi:10.1093/pan/11.1.1.
   Web of Science ®Google Scholar
• Bonavita, V., & De Simone, R. (2008). Towards a definition of comorbidity in the light of clinical complexity. Neurological Sciences, 29, 99–102. doi:10.1007/s10072-008-0898-1.
   PubMed Web of Science ®Google Scholar
• Boughton, R., & Falenchuk, O. (2007). Vulnerability and comorbidity factors of female problem gambling. Journal of Gambling Studies, 23, 323–334. doi:10.1007/s10899-007-9056-6.
   PubMed Web of Science ®Google Scholar
• Clark, C., & Walker, D. M. (2009). Are gamblers more likely to commit crimes? An empirical analysis of a nationally representative survey of US young adults. International Gambling Studies, 9, 119–134. doi:10.1080/14459790902915332.
   Google Scholar
• Council of American Survey Research Organizations. (1982). Council of American survey research organizations special report: On the definition of response rates. Port Jefferson, NY: Council of American Survey Research Organizations.
   Google Scholar
• Ferris, J., & Wynne, H. (2001). The Canadian problem gambling index: final report. Submitted to the Canadian Centre on Substance Abuse. Retrieved from http://classes.uleth.ca/201201/hlsc3700a/The%20Canadian%20Problem%20Gambling%20Index.pdf (accessed on November 21, 2014).
   Google Scholar
• Fisher, R. J. (1993). Social desirability bias and the validity of indirect questioning. Journal of Consumer Research, 20, 303–315. doi:10.1086/209351.
   Web of Science ®Google Scholar
• Fricker, R. D., & Schonlau, M. (2002). Advantages and disadvantages of Internet research surveys: Evidence from the literature. Field Methods, 14, 347–367. doi:10.1177/152582202237725.
   Google Scholar
• Fricker, S., Galesic, M., Tourangeau, R., & Yan, T. (2005). An experimental comparison of web and telephone surveys. Public Opinion Quarterly, 69, 370–392. doi:10.1093/poq/nfi027.
   Web of Science ®Google Scholar
• Galesic, M., Tourangeau, R., & Couper, M. P. (2006). Complementing random-digit-dial telephone surveys with other approaches to collecting sensitive data. American Journal of Preventive Medicine, 31, 437–443. doi:10.1016/j.amepre.2006.07.023.
   PubMed Web of Science ®Google Scholar
• Göritz, A., Reinhold, N., & Batinic, B. (2002). Online panels. In B. Batinic, U. -D. Reips, & M. Bosnjak (Eds.), Online social sciences (pp. 27–47). Göttingen: Hogrefe & Huber Publishers.
   Google Scholar
• Göritz, A. S. (2007). Using online panels in psychological research. In A. N. Joinson, K. Y. A. McKenna, T. Postmes, & U. -D. Reips (Eds.), The Oxford handbook of Internet psychology (pp. 473–486). New York: Oxford University Press.
   Google Scholar
• Greene, J., Speizer, H., & Wiitala, W. (2008). Telephone and web: Mixed-mode challenge. Health Services Research, 43, 230–248. doi:10.1111/j.1475-6773.2007.00747.x.
   PubMed Web of Science ®Google Scholar
• Greenlaw, C., & Brown-Welty, S. (2009). A comparison of web-based and paper-based survey methods: Testing assumptions of survey mode and response cost. Evaluation Review, 33, 464–480. doi:10.1177/0193841X09340214.
   PubMed Web of Science ®Google Scholar
• Grimm, P. (2010). Social desirability bias. Wiley International Encyclopedia of Marketing. Part 2. Marketing Research. doi:https://doi.org/10.1002/9781444316568.wiem02057.
   Google Scholar
• Holbrook, A. L., Krosnick, J. A., & Pfent, A. (2008). The causes and consequences of response rates in surveys by the news media and government contractor survey research firms. In J. M. Lepkowski, C. Tucker, J. M. Brick, E. de Leeuw, L. Japec, P. J. Lavrakas, M. W. Link, & R. L. Sangster (Eds.), Advances in telephone survey methodology (pp. 499–678). New York: John Wiley & Sons.
   Google Scholar
• Korea Internet & Security Agency. (2015). Retrieved from http://isis.kisa.or.kr/eng/sub05/?pageId = 050400 (accessed on February 7, 2015).
   Google Scholar
• Kreuter, F., Presser, S., & Tourangeau, R. (2008). Social desirability bias in CATI, IVR, and Web surveys: the effects of mode and question sensitivity. Public Opinion Quarterly, 72, 847–865. doi:10.1093/poq/nfn063.
   Web of Science ®Google Scholar
• Laudet, A. B., & Volberg, R. A. (2002). Future directions for research into the psychological determinants of problem gambling patterns. International Gambling Studies, 2, 85–100. doi:10.1080/14459790208732301.
   Google Scholar
• Lavrakas, P. J. (1997). Methods for sampling and interviewing in telephone surveys. In L. Bickman & D. J. Rog (Eds.), Handbook of applied social research methods. Thousand Oaks: Sage Publications.
   Google Scholar
• Massey, D. S., & Tourangeau, R. (2013). Where do we go from here? Nonresponse and social measurement. The ANNALS of the American Academy of Political and Social Science, 645, 222–236. doi:10.1177/0002716212464191.
   PubMed Web of Science ®Google Scholar
• The National Gambling Control Commission. (2014). Gambling industry statistics. Retrieved from http://www.ngcc.go.kr/Board/ReadView.do?idx = pds&page = 1&no = 9329 (accessed on October 12, 2014).
   Google Scholar
• The National Gambling Control Commission. (2015). Gambling industrial use survey. Retrieved from http://www.ngcc.go.kr/Board/ReadView.do?idx = pds&page = 1&no = 9346 (accessed on January 30, 2015).
   Google Scholar
• Nordmyr, J., Forsman, A. K., Wahlbeck, K., Björkqvist, K., & Österman, K. (2014). Associations between problem gambling, socio-demographics, mental health factors and gambling type: Sex differences among Finnish gamblers. International Gambling Studies, 14, 39–52. doi:10.1080/14459795.2013.840328.
   Web of Science ®Google Scholar
• Pew Research Center. (2015). Internet survey. Retrieved from http://www.people-press.org/methodology/collecting-survey-data/internet-survey (accessed on January 29, 2015).
   Google Scholar
• Peytchev, A. (2013). Consequences of survey nonresponse. The Annals of the American Academy of Political and Social Science, 645, 88–111. doi:10.1177/0002716212461748.
   Web of Science ®Google Scholar
• Samal, L., Hutton, H. E., Erbelding, E. J., Brandon, E. S., Finkelstein, J., & Chander, G. (2010). Digital divide: Variation in Internet and cellular phone use among women attending an urban sexually transmitted infections clinic. Journal of Urban Health, 87, 122–128. doi:10.1007/s11524-009-9415-y.
   PubMed Web of Science ®Google Scholar
• Schonlau, M., Zapert, K., Simon, L. P., Sanstad, K. H., Marcus, S. M., Adams, J., & … Berry, S. H. (2004). A comparison between responses from a propensity-weighted web survey and an identical RDD survey. Social Science Computer Review, 22, 128–138. doi:10.1177/0894439303256551.
   Web of Science ®Google Scholar
• Shek, D. T. L., Chan, E. M. L., & Wong, R. H. Y. (2012). Comorbid mood and adjustment disorders among pathological gamblers seeking treatment in Hong Kong. International Gambling Studies, 12, 387–404. doi:10.1080/14459795.2012.689000.
   Web of Science ®Google Scholar
• Sparrow, N. (2006). Developing reliable online polls. International Journal of Market Research, 48, 659–680.
   Web of Science ®Google Scholar
• Spijkerman, R., Knibbe, R., Knoops, K., Van De Mheen, D., & Van Den Eijnden, R. (2009). The utility of online panel surveys versus computer-assisted interviews in obtaining substance-use prevalence estimates in the Netherlands. Addiction, 104, 1641–1645. doi:10.1111/j.1360-0443.2009.02642.x.
   PubMed Web of Science ®Google Scholar
• Statistics Korea. (2010). Social indicators in 2009. Retrieved from http://www.kostat.go.kr/portal/english/news/1/8/index.board?bmode = read&aSeq = 70156 (accessed March 24, 2010).
   Google Scholar
• Tourangeau, R., & Smith, T. W. (1996). Asking sensitive questions: The impact of data collection mode, question format, and question context. Public Opinion Quarterly, 60, 275–304. doi:10.1086/297751.
   Web of Science ®Google Scholar
• Tourangeau, R., & Yan, T. (2007). Sensitive questions in surveys. Psychological Bulletin, 133, 859–883. doi:10.1037/0033-2909.133.5.859.
   PubMed Web of Science ®Google Scholar
• van der Heijden, P. G. M., van Gils, G., Bouts, J., & Hox, J. J. (2000). A comparison of randomized response, computer-assisted self-interview, and face-to-face direct questioning: Eliciting sensitive information in the context of welfare and unemployment benefit. Sociological Methods & Research, 28, 505–537. doi:10.1177/0049124100028004005.
   Web of Science ®Google Scholar
• Walker, D. M., Clark, C., & Folk, J. L. (2012). The relationship between gambling behavior and binge drinking, hard drug use, and paying for sex. UNLV Gaming Research & Review Journal, 14, 15–26.
   Google Scholar
• Williams, R. J., Belanger, Y. D., & Arthur, J. N. (2011). Gambling in Alberta: history, current status, and socioeconomic impacts. Lethbridge, Alberta, Canada: Alberta Gaming Research Institute.
   Google Scholar
• Williams, R. J., Lee, C. K., & Back, K. J. (2013). The prevalence and nature of gambling and problem gambling in South Korea. Social Psychiatry and Psychiatric Epidemiology, 48, 821–834. doi:10.1007/s00127-012-0580-z.
   PubMed Web of Science ®Google Scholar
• Williams, R. J., & Volberg, R. A. (2010). Best practices in the population assessment of problem gambling. Lethbridge, Alberta, Canada: University of Lethbridge. Retrieved from http://hdl.handle.net/10133/1259 (accessed on November 11, 2014).
   Google Scholar
• Williams, R. J., & Volberg, R. A. (2012). Population assessment of problem gambling: Utility and best practices. Lethbridge, Alberta, Canada: University of Lethbridge. Retrieved from http://hdl.handle.net/10133/3094 (accessed on November 11, 2014).
   Google Scholar
• Williams, R. J., Volberg, R. A., & Stevens, R. M. G. (2012). The population prevalence of problem gambling: Methodological influences, standardized rates, jurisdictional differences, and worldwide trends. Report prepared for the Ontario Problem Gambling Research Centre and the Ontario Ministry of Health and Long Term Care. Retrieved from http://hdl.handle.net/10133/3068 (accessed on May 8, 2012).
   Google Scholar
• Winters, K. C., & Kushner, M. G. (2003). Treatment issues pertaining to pathological gamblers with a comorbid disorder. Journal of Gambling Studies, 19, 261–277. doi:10.1023/A:1024203403982.
   PubMedGoogle Scholar
• Wood, R. T., & Williams, R. J. (2007). How much money do you spend on gambling? The comparative validity of question wordings used to assess gambling expenditure. International Journal of Social Research Methodology, 10, 63–77. doi:10.1080/13645570701211209.
   Google Scholar