Literature DB >> 18414127

Psychometric properties of the inventory of gambling situations with a focus on gender and age differences.

Lindsay M Weiss1, Nancy M Petry.   

Abstract

Environmental, interpersonal, and psychological factors contribute to gambling, but no standardized instrument for assessing high-risk gambling situations exists. This study evaluates the factor structure of the Inventory of Gambling Situations (IGS), a newly developed measure to examine situations that precipitate gambling. Pathological gamblers (n = 233) beginning a treatment study completed the IGS. Principal component analysis revealed that a 5-factor solution best fit the data, representing items related to Negative Affect, Luck and Control, Positive Affect, Social Situations, and Gambling Cues. Overall, Cronbach alpha was 0.960, ranging from 0.820 to 0.935 for the 5 factors. IGS scores correlated with other indices of gambling problems. Women scored higher on the Gambling Cues factor than men, and younger respondents, regardless of gender, scored higher on the Luck and Control factor than older respondents. The IGS may assist in better understanding situations in which pathological gamblers wager, and individual differences with respect to these situations.

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Year:  2008        PMID: 18414127     DOI: 10.1097/NMD.0b013e31816a4982

Source DB:  PubMed          Journal:  J Nerv Ment Dis        ISSN: 0022-3018            Impact factor:   2.254


  3 in total

1.  The Inventory of Gambling Situations in problem and pathological gamblers seeking alcohol and drug abuse treatment.

Authors:  Nancy M Petry; Carla J Rash; Carlos Blanco
Journal:  Exp Clin Psychopharmacol       Date:  2010-12       Impact factor: 3.157

2.  Social support is associated with gambling treatment outcomes in pathological gamblers.

Authors:  Nancy M Petry; Lindsay Weiss
Journal:  Am J Addict       Date:  2009 Sep-Oct

3.  Centre for Addiction and Mental Health Inventory of Gambling Situations: Evaluation of the Factor Structure, Reliability, and External Correlations.

Authors:  Nigel E Turner; Nina Littman-Sharp; Tony Toneatto; Eleanor Liu; Peter Ferentzy
Journal:  Int J Ment Health Addict       Date:  2013       Impact factor: 3.836

  3 in total

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