A Taxometric Analysis of Problem Gambling Data from a South African National Urban Sample (original) (raw)
References
Ahmed, A. O., Green, B. A., Clark, C. B., Stahl, K. C., & McFarland, M. E. (2011). Latent structure of unipolar and bipolar mood symptoms. Bipolar Disorders,2011(13), 522–536. Article Google Scholar
Blaszczynski, A., & Nower, L. (2002). A pathways model of problem and pathological gambling. Addiction,97(5), 487–499. ArticlePubMed Google Scholar
Braverman, J., LaBrie, R. A., & Shaffer, H. J. (2011). A taxometric analysis of actual internet sports gambling behavior. Psychological Assessment,23(1), 234–244. Google Scholar
Custer, R. L., & Custer, L. F. (1978). Characteristics of the recovering compulsive gambler. Paper presented at the Fourth Annual Conference on Problem Gambling, Reno, Nevada.
Denson, T., & Earleywine, M. (2006). Pothead or pot smoker? A taxometric investigation of cannabis dependence. Substance Abuse Treatment, Prevention and Policy,1, 22–27. Article Google Scholar
Ellis, G., Stein, D., Thomas, K., & Meintjes, E. (2011). Substance use and abuse in South Africa: Insights from brain and behavioral sciences. Cape Town: UCT Press. Google Scholar
Ferris, J., & Wynne, H. (2001). The Canadian Problem Gambling Index: Final report. Ottawa: Canadian Centre on Substance Abuse. Google Scholar
Ginestet, C., Mitchell, K., & Wellman, N. (2008). Taxometric investigation of the latent structure of nicotine dependence: An epidemiological sample. Nicotine & Tobacco Research,10, 833–841. Article Google Scholar
Grove, W. M. (2004). The MAXSLOPE taxometric procedure: Mathematical derivation, parameter estimation, consistency tests. Psychological Reports,95, 517–550. PubMed Google Scholar
Haslam, N., Williams, B., et al. (2006). The latent structure of attention-deficit/hyperactivity disorder: A taxometric analysis. Australian and New Zealand Journal of Psychiatry,40(8), 639–647. ArticlePubMed Google Scholar
Helzer, J. E., Bucholz, K. K., et al. (2007). A dimensional option for the diagnosis of substance dependence in DSM-V. International Journal of Methods in Psychiatric Research, 16(S1), S24–S33. Google Scholar
Helzer, J. E., Van Den Brink, W., & Guth, S. E. (2006). Should there be both categorical and dimensional criteria for the substance abuse disorders in DSM-V? Addiction,101, 17–22. ArticlePubMed Google Scholar
Hodgins, D. (2004). Using the NORC DSM Screen for Gambling Problems as an outcome measure for pathological gambling: Psychometric evaluation. Addictive Behaviors,29, 1685–1690. ArticlePubMed Google Scholar
Holtgraves, T. (2009). Evaluating the Problem Gambling Severity Index. Journal of Gambling Studies,25, 105–120. Google Scholar
Ladouceur, R., Jacques, C., Chevalier, S., Sevigny, S., & Hamel, D. (2005). Prevalence of Pathological Gambling in Quebec in 2002. Canadian Journal of Psychiatry, 50, 451–456. Google Scholar
Lesieur, H., & Blume, S. (1987). The South Oaks Gambling Screen (SOGS): A new instrument for the identification of pathological gamblers. American Journal of Psychiatry,144(9), 1184–1188. PubMedCAS Google Scholar
Loo, J. M., Oei, T. P., & Raylu, N. (2011). Psychometric evaluation of the Problem Gambling Severity Index-Chinese version (PGSI-C). Journal of Gambling Studies,27(3), 453–466. Google Scholar
Maitland, S., & Adams, G. (2007). Replication and generalizability of the Problem Gambling Severity Index: Are results consistent and comparable across studies? Final report. Ontario: Ontario Problem Gambling Research Centre.
Meehl, P. E. (1973). MAXCOV-HITMAX: A taxometric search method for loose genetic syndromes. In P. E. Meehl (Ed.), Psychodiagnosis: Selected papers (pp. 200–224). Minneapolis: University of Minnesota Press. Google Scholar
Meehl, P. E. (1992). Factors and taxa, traits and types, differences of degree and differences in kind. Journal of Personality,60, 117–174. Article Google Scholar
Meehl, P. E. (1995). Bootstraps taxometrics: Solving the classification problem in psychopathology. American Psychologist,50, 266–274. ArticlePubMedCAS Google Scholar
Meehl, P. E., & Yonce, L. J. (1994). Taxometric analysis: I. Detecting taxonicity with two quantitative indicators using means above and below a sliding cut (MAMBAC procedure). Psychological Reports,74, 1059–1274. Google Scholar
Meehl, P. E., & Yonce, L. J. (1996). Taxometric analysis: II. Detecting taxonicity using covariance of two quantitative indicators in successive intervals of a third indicator (MAXCOV procedure). Psychological Reports,78, 1091–1227. Article Google Scholar
Muthén, B. (2006). Should substance use disorders be considered as categorical or dimensional? Addiction, 101(s1), 6–16.
Neal, P., Delfabbro, P. H., & O’Neill, M. (2004). Problem gambling and harm: Towards a national definition. Report prepared for the National Gambling Research Program Working Party, Melbourne.
Orford, J., Wardle, H., et al. (2010). PGSI and DSM-IV in the 2007 British Gambling Prevalence Survey: Reliability, item response, factor structure and inter-scale agreement. International Gambling Studies,10(1), 31–44. Article Google Scholar
Rawlings, D., Williams, B., et al. (2008). Taxometric analysis supports a dimensional latent structure for schizotypy. Personality and Individual Differences,44(8), 1640–1651. Article Google Scholar
Reise, S., & Waller, N. (2009). Item response theory and clinical measurement. Annual Review of Clinical Psychology,5, 27–48. ArticlePubMed Google Scholar
Ross, D., Sharp, C., Vuchinich, R., & Spurrett, D. (2008). Midbrain mutiny: The behavioural economics and neuroeconomics of disordered gambling. Cambridge, MA: MIT Press.
Royston, P. (2004). Multiple imputation of missing values. Stata Journal,4(3), 227–241. Google Scholar
Royston, P. (2007). Multiple imputation of missing values: Further update of ice, with an emphasis on interval censoring. Stata Journal,7(4), 445–464. Google Scholar
Royston, P. (2009). Multiple imputation of missing values: Further update of ice, with an emphasis on categorical variables. Stata Journal,9(3), 466–477. Google Scholar
Ruscio, J. (2007). Taxometric analysis: An empirically-grounded approach to implementing the method. Criminal Justice and Behavior,34, 1588–1622. Article Google Scholar
Ruscio, J. (2009). Assigning cases to groups using taxometric results: An empirical comparison of classification techniques. Assessment,16, 55–70. Google Scholar
Ruscio, J., Haslam, N., & Ruscio, A. (2006). Introduction to the taxometric method: A practical guide. Hillsdale: Lawrence Erlbaum Associates. Google Scholar
Ruscio, J., & Ruscio, A. (2004). Clarifying boundary issues in psychopathology: The role of taxometrics in a comprhensive program of structural research. Journal of Abnormal Psychology,113, 145–154. ArticlePubMed Google Scholar
Ruscio, J., Ruscio, A., & Meron, M. (2007). Applying the bootstrap to taxometric analysis: Generating empirical sampling distributions to help interpret results. Multivariate Behavioral Research,42, 349–386. Article Google Scholar
Ruscio, J., Walters, G., Marcus, D., & Kaczetow, W. (2010). Grouping the relative fit of categorical and dimensional latent variable models using consistency tests. Psychological Assessment,22(1), 5–21. ArticlePubMed Google Scholar
Saunders, J. B., & Schukitt, M. A. (2006). The development of a research agenda for substance abuse disorders in the diagnosis in the Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-V). Addiction,101, 1–5. ArticlePubMed Google Scholar
Sharp, C., Steinberg, L., Yaroslavsky, I., Hofmeyr, A., Dellis, A., Ross, D., et al. (2012). An item response theory analysis of the Problem Gambling Severity Index in a national representative sample. Assessment,19(2), 167–175. Google Scholar
Slade, T., Grove, R., & Teesson, M. (2009). A taxometric study of alcohol abuse and dependence in a general population sample: Evidence of dimensional latent structure and implications for DSM-V. Addiction,104, 742–751. ArticlePubMed Google Scholar
Solomon, A., Ruscio, J., et al. (2006). A taxometric investigation of unipolar depression in a large community sample. Psychological Medicine,36(07), 973–985. ArticlePubMed Google Scholar
Svetieva, E., & Walker, M. (2008). Inconsistency between concept and measurement: The Canadian Problem Gambling Index (CPGI). Journal of Gambling Issues1s(22), 157–173. Google Scholar
van Buuren, S., Boshuizen, H., & Knook, D. (1999). Multiple imputation of missing blood pressure covariates in survival analysis. Statistics in Medicine,1999(18), 681–694. Google Scholar
Waller, N. G., & Meehl, P. E. (1998). Multivariate taxometric procedures: Distinguishing types from continua. Thousand Oaks, CA: Sage. Google Scholar
Walters, G. D., Diamond, P., & Magaletta, P. R. (2010). What is the latent structure of alcohol use disorders? A taxometric analysis of the Personality Assessment Inventory Alcohol Problems Scale in male and female prison inmates. Psychology of Addictive Behaviors,24(1), 26–37. ArticlePubMed Google Scholar
Walters, G. D., & Ruscio, J. (2009a). To sum or not to sum: Taxometric analysis with ordered categorical assessment items. Psychological Assessment,21(1), 99–111. ArticlePubMed Google Scholar
Walters, G. D., & Ruscio, J. (2009b). Where do we draw the line? Assigning cases to subsamples for MAMBAC, MAXCOV, and MAXEIG taxometric analyses. Assessment,20(10), 1–13. Google Scholar
West, R. (2006). Theory of addiction. Oxford: Blackwell. Google Scholar
Widiger, T. A., & Clark, L. A. (2000). Toward DSM-V and the classification of psychopathology. Psychological Bulletin,126, 946–963. ArticlePubMedCAS Google Scholar