Literature DB >> 14512069

Using the Rasch model to evaluate the South Oaks Gambling Screen for use with nonpathological gamblers.

David R Strong1, Robert B Breen, Henry R Lesieur, C W Lejuez.   

Abstract

Despite its utility for the dichotomous differentiation of pathological and nonpathological gamblers, some have questioned the use of the South Oaks Gambling Screen (SOGS) for discriminating individuals across the entire range of gambling problems. Using methods from item response theory, we derived a six-item version of the SOGS. This shortened version of the SOGS performed uniformly across a sample of pathological gamblers and a sample of students and resulted in five levels of discrimination and the following interpretation: a score of 1 reveals potential for problems; 2 reveals likely problem gambling; 3 or 4 items endorsed represent significant levels of problems noticeable by others; while 5 or 6 represents severe problems with significant financial involvement. We discuss the implications and remaining limitations of using this shortened measure for the continuum-based assessment of gambling problems.

Mesh:

Year:  2003        PMID: 14512069     DOI: 10.1016/s0306-4603(02)00262-9

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  11 in total

1.  Impaired self-awareness in pathological gamblers.

Authors:  Damien Brevers; Axel Cleeremans; Antoine Bechara; Max Greisen; Charles Kornreich; Paul Verbanck; Xavier Noël
Journal:  J Gambl Stud       Date:  2013-03

2.  The relationship among negative affect, distress tolerance, and length of gambling abstinence attempt.

Authors:  Stacey B Daughters; C W Lejuez; David R Strong; Richard A Brown; Robert B Breen; Henry R Lesieur
Journal:  J Gambl Stud       Date:  2005

Review 3.  A comment on the utility of prevalence estimates of pathological gambling.

Authors:  Blasé Gambino
Journal:  J Gambl Stud       Date:  2006

4.  Evaluating the problem gambling severity index.

Authors:  Thomas Holtgraves
Journal:  J Gambl Stud       Date:  2008-08-14

5.  Validation of the problem gambling severity index using confirmatory factor analysis and rasch modelling.

Authors:  Natalie V Miller; Shawn R Currie; David C Hodgins; David Casey
Journal:  Int J Methods Psychiatr Res       Date:  2013-09-09       Impact factor: 4.035

6.  Disordered Gambling Prevalence: Methodological Innovations in a General Danish Population Survey.

Authors:  Glenn W Harrison; Lasse J Jessen; Morten I Lau; Don Ross
Journal:  J Gambl Stud       Date:  2018-03

7.  A quick and simple screening method for pathological and problem gamblers in addiction programs and practices.

Authors:  Rachel A Volberg; Ingrid M Munck; Nancy M Petry
Journal:  Am J Addict       Date:  2011-03-08

8.  Using artificial intelligence algorithms to predict self-reported problem gambling with account-based player data in an online casino setting.

Authors:  Michael Auer; Mark D Griffiths
Journal:  J Gambl Stud       Date:  2022-07-19

9.  Longitudinal patterns of gambling activities and associated risk factors in college students.

Authors:  Anna E Goudriaan; Wendy S Slutske; Jennifer L Krull; Kenneth J Sher
Journal:  Addiction       Date:  2009-05-11       Impact factor: 6.526

10.  Gender differences in felt stigma and barriers to help-seeking for problem gambling.

Authors:  Alison Baxter; Christina Salmon; Kristen Dufresne; Alexandra Carasco-Lee; Flora I Matheson
Journal:  Addict Behav Rep       Date:  2015-11-03
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