Literature DB >> 24916298

On the latent structure of problem gambling: a taxometric analysis.

Richard J E James1, Claire O'Malley, Richard J Tunney.   

Abstract

AIMS: To test whether problem gambling is a categorical or dimensional disorder on the basis of two problem gambling assessments. This distinction discriminates between two different conceptualizations of problem gambling: one that problem gambling is defined by its addictive properties, the other that it is a continuum of harm.
METHOD: Using The British Gambling Prevalence Survey 2010, a nationally representative sample of the United Kingdom conducted by the National Centre for Social Research, five different taxometric analyses were carried out on cases from two problem gambling screens: the Problem Gambling Severity Index (PGSI) and a measure derived from the DSM-IV Pathological Gambling criteria. Two further analyses were conducted on the total scores for these measures.
RESULTS: There was strong evidence that both scales were measuring a categorical construct. Fit indices consistently supported a categorical interpretation [comparison curve fit index (CCFI) > 0.6]. The PGSI analysis indicated the presence of a taxon (CCFIs = 0.633, 0.756). The analysis conducted on the adapted DSM-IV criteria indicated stronger quantitative support for a taxon (CCFIs = 0.717, 0.811 and 0.756) but items probing a loss of control were inconsistent. The taxometric analyses of both scales support a categorical interpretation (CCFIs = 0.628, 0.567), but extreme caution should be used due to high nuisance covariance.
CONCLUSIONS: Two problem gambling screens (the Problem Gambling Severity Index and a measure derived from the DSM-IV Pathological Gambling criteria) appear to measure a categorical construct that taps into a categorical, loss of control model of problem gambling. There is some evidence that the two screens measure different aspects of an addiction construct.
© 2014 Society for the Study of Addiction.

Keywords:  Categorical; DSM; dimensional; gambling; nosology; problem gambling; survey; taxometric analysis

Mesh:

Year:  2014        PMID: 24916298     DOI: 10.1111/add.12648

Source DB:  PubMed          Journal:  Addiction        ISSN: 0965-2140            Impact factor:   6.526


  5 in total

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Authors:  Richard T Liu
Journal:  J Abnorm Child Psychol       Date:  2017-11

2.  The Multidimensional Structure of Problem Gambling: An Evaluation of Four Gambling Categorization Instruments from an International Online Survey of Gamblers.

Authors:  Darren R Christensen; Robert J Williams; Samuel M Ofori-Dei
Journal:  J Gambl Stud       Date:  2019-12

3.  DSM-5 criteria for gambling disorder: Underlying structure and applicability to specific groups of gamblers.

Authors:  Pawel Sleczka; Barbara Braun; Daniela Piontek; Gerhard Bühringer; Ludwig Kraus
Journal:  J Behav Addict       Date:  2015-12       Impact factor: 6.756

4.  Loss of Control as a Discriminating Factor Between Different Latent Classes of Disordered Gambling Severity.

Authors:  Richard J E James; Claire O'Malley; Richard J Tunney
Journal:  J Gambl Stud       Date:  2016-12

5.  Sociodemographic predictors of latent class membership of problematic and disordered gamblers.

Authors:  Richard J E James; Claire O'Malley; Richard J Tunney
Journal:  Addict Behav Rep       Date:  2016-04-16
  5 in total

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