An Item Response Theory Analysis of the Problem Gambling Severity Index

Assessment

Volumn 19, Issue 2, 2012, Pages 167-175

  Sharp, Carla ^a   Steinberg, Lynne ^a   Yaroslavsky, Ilya ^a   Hofmeyr, Andre ^b   Dellis, Andrew ^b   Ross, Don ^b,c   Kincaid, Harold ^d  

^a UNIVERSITY OF HOUSTON   (United States)

^b UNIVERSITY OF CAPE TOWN   (South Africa)

^c GEORGIA STATE UNIVERSITY   (United States)

^d UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

Author keywords

item response theory analysis; papulation screening; problem gambling severity index

Indexed keywords

ADULT; ARTICLE; CHI SQUARE DISTRIBUTION; FEMALE; HOSPITALIZATION; HUMAN; MALE; PATHOLOGICAL GAMBLING; PERSONALITY DISORDER; PERSONALITY TEST; PSYCHOLOGICAL ASPECT; PSYCHOLOGICAL THEORY; PSYCHOMETRY; SOUTH AFRICA;

ADULT; CHI-SQUARE DISTRIBUTION; FEMALE; GAMBLING; HUMANS; MALE; PERSONALITY DISORDERS; PERSONALITY TESTS; PSYCHOLOGICAL THEORY; PSYCHOMETRICS; SEVERITY OF ILLNESS INDEX; SOUTH AFRICA;

EID: 84861830433     PISSN: 10731911     EISSN: 15523489     Source Type: Journal    
DOI: 10.1177/1073191111418296     Document Type: Article

References (32)

1. Abbott M. W.,Volberg R. A.The measurement of adult problem gambling and pathological gambling.International Gambling Studies. 2006;6:175-200.
2. Arthur D.,Tong W. L.,Chen C. P.,Hing A. Y.,Sagara-Rosemeyer M.,Kua E. H.,Ignacio J.The validity and reliability of four measures of gambling behaviour in a sample of Singapore university students.Journal of Gambling Studies. 2008;24:451-462.
3. Botha U. A.,Koen L.,Niehaus D. J.Perceptions of a South African schizophrenia population with regards to community attitudes towards their illness.Social Psychiatry and Psychiatric Epidemiology. 2006;41:619-623.
4. Brooker I. S.,Clara I. P.,Cox B. J.The Canadian Problem Gambling Index: Factor structure and associations with psychopathology in a nationally representative study.Canadian Journal of Behavioral Science. 2009;41:109-114.
5. Browne M. W.,Cudeck R.Testing structural equation models. Bollen K.Long J., ed. Newbury Park, CA: SAGE; 1993:136-162.
6. Cai L.,du Toit S. H. C.,Thissen D.IRTPRO: Flexible professional item response theory modeling for patient reported outcomes [Computer software]. Chicago, IL: SSI International;.
7. Cai L.,Maydeu-Olivares A.,Coffman D. L.,Thissen D.Limited-information goodness- of-fit testing of item response theory models for sparse 2p tables.British Journal of Mathematical and Statistical Psychology. 2006;59:173-194.
8. ChenW. H.ThissenD. (1997). Local dependence indices for item pairs using item response theory. Journal of Educational and Behavioral Statistics, 22, 265-289. Retrieved from http://www.jstor.org/stable/1165285.
9. CostelloE. J.AngoldA. (1988). Scales to assess child and adolescent depression: Checklists, screens and nets. Journal of the American Academy of Child and Adolescent Psychiatry, 27, 726-737.
10. Culleton R. P.The prevalence rates of pathological gambling: A look at methods.Journal of Gambling Behavior. 1989;5:22-41.
11. Embretson S. E.,Reise S. P.Item response theory for psychologists. London, England: Erlbaum; 2000:.
12. Ferris J.,Wynne H.The Canadian Problem Gambling Index. Ottawa, Ontario, Canada: Canadian Centre on Substance Abuse; 2001:.
13. Holtgraves T.Evaluating the Problem Gambling Severity Index.Journal of Gambling Studies. 2009;25:105-120.
14. Langer M. M.A reexamination of Lord's Wald test for differential item functioning using item response theory and modern error estimation. Chapel Hill: University of North Carolina; 2008:.
15. Leisieur H. R.,Blume S. B.The South Oaks Gambling Screen (SOGS): A new instrument for the identification of pathological gamblers.American Journal of Psychiatry. 1987;144:1184-1188.
16. Loo J. M.,Oei T. P.,Raylu N.Psychometric evaluation of the Problem Gambling Severity Index-Chinese Version (PGSI-C).Journal of Gambling Studies. 2010;:.
17. Maydeu-Olivares A.,Joe H.Limited and full information estimation and goodness-of-fit testing in 2n contingency tables: A unified framework.Journal of the American Statistical Association. 2005;100:1009-1020.
18. Maydeu-Olivares A.,Joe H.Limited information goodness-of-fit testing in multidimensional contingency tables.Psychometrika. 2006;71:713-732.
19. McMillen J.,Marshall D.,Ahmed E.,Wenzel M.2003 Victorian Longitudinal Community Attitudes Survey. Canberra, Australia: The Centre for Gambling Research, Australian National University; 2004:.
20. McMillen J.,Wenzel M.Measuring problem gambling: Assessment of three prevalence screens.International Gambling Studies. 2006;6:147-174.
21. Neal P.,Delfabbro P. H.,O'Neill M.Problem gambling and harm: Towards a national definition. Melbourne, Victoria, Australia: State of Victoria, Department of Justice; 2004:.
22. Orford J.,Wardle H.,Griffiths M.,Sproston K.,Erens B.PGSI and DSM-IV in the 2007 British Gambling Prevalence Survey: Reliability, item response, factor structure and inter-scale agreement.International Gambling Studies. 2010;10 (1): 31-44.
23. Peterson I.Primary level psychological services in South Africa: Can a new psychological professional fill the gap?.Health Policy and Planning. 2004;19:33-40.
24. Reise S. P.,Waller N. G.Item Response Theory and Clinical Measurement.Annual Review of Clinical Psychology. 2009;5:27-48.
25. Schissel B.Betting against youth: The effects of social marginality on gambling among young people.Youth & Society. 2001;32:473-491.
26. Sharp C.,Goodyer I. M.,Croudace T. J.The Short Mood and Feelings Questionnaire (SMFQ): A unidimensional item response theory and categorical data factor analysis of self-report ratings from a community sample of 7-through 11-year-old children.Journal of Abnormal Child Psychology. 2006;34:365-377.
27. Sharp C.,Skinner D.,Serekoane M.,Ross M.A qualitative study of the cultural appropriateness of the Diagnostic Interview Schedule for Children (DISC-IV) in South Africa.Social Psychiatry and Psychiatric Epidemiology. 2010;:.
28. Strong D. R.,Breen R. B.,Lesieur H. R.,Lejuez C. W.Using the Rasch model to evaluate the South Oaks Gambling Screen for use with nonpathological gamblers.Addictive Behaviors. 2003;28:1465-1472.
29. ThissenD. (2009). The MEDPRO project: An SBIR project for a comprehensive IRT and CAT software system-IRT software. In WeissD. J. (Ed.), Proceedings of the 2009 GMAC Conference on Computerized Adaptive Testing. Retrieved from http://www.psych.umn.edu/psylabs/CATCentral/.
30. Thissen D.,Cai L.,Bock R. D.Handbook of polytomous item response theory models. Nering M. L.Ostini R., ed. New York, NY: Routledge; 2010:43-75.
31. Volberg R. A.The prevalence and demographics of pathological gamblers: Implications for public health.American Journal of Public Health. 1994;84:237-241.
32. Welte J. W.,Barnes G. M.,Wieczorek W. F.,Tidwell M. C.,Parker J.Gambling participation in the U.S.: Results from a national survey.Journal of Gambling Studies. 2002;18:313-37.