Literature DB >> 18704661

Evaluating the problem gambling severity index.

Thomas Holtgraves1.   

Abstract

A large, integrated survey data set provided by the Ontario Problem Gambling Centre was used to investigate psychometric properties of the Problem Gambling Severity Index (PGSI). This nine-item self-report instrument was designed to measure a single, problem gambling construct. Unlike its nearest competitor--the South Oaks Gambling Screen (SOGS)--the PGSI was designed specifically for use with a general population rather than in a clinical context. The present analyses demonstrated that the PGSI does assess a single, underlying, factor, but that this is complicated by different, multiple factor structures for respondents with differing levels of problem gambling severity. The PGSI also demonstrated small to moderate correlations with measures of gambling frequency and faulty cognitions. Overall, the PGSI presents a viable alternative to the SOGS for assessing degrees of problem gambling severity in a non-clinical context.

Entities:  

Mesh:

Year:  2008        PMID: 18704661     DOI: 10.1007/s10899-008-9107-7

Source DB:  PubMed          Journal:  J Gambl Stud        ISSN: 1050-5350


  10 in total

1.  Reliability, validity, and classification accuracy of the South Oaks Gambling Screen (SOGS).

Authors:  Randy Stinchfield
Journal:  Addict Behav       Date:  2002 Jan-Feb       Impact factor: 3.913

Review 2.  A pathways model of problem and pathological gambling.

Authors:  Alex Blaszczynski; Lia Nower
Journal:  Addiction       Date:  2002-05       Impact factor: 6.526

3.  Starting at the beginning: an introduction to coefficient alpha and internal consistency.

Authors:  David L Streiner
Journal:  J Pers Assess       Date:  2003-02

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

Authors:  David R Strong; Robert B Breen; Henry R Lesieur; C W Lejuez
Journal:  Addict Behav       Date:  2003-10       Impact factor: 3.913

5.  Problem gambling in a federal prison population: results from the South Oaks Gambling Screen.

Authors:  G D Walters
Journal:  J Gambl Stud       Date:  1997

6.  The New Zealand national survey of problem and pathological gambling.

Authors:  M W Abbott; R A Volberg
Journal:  J Gambl Stud       Date:  1996-06

7.  The prevalence of problem and pathological gambling: A critical analysis.

Authors:  M B Walker; M G Dickerson
Journal:  J Gambl Stud       Date:  1996-06

8.  The South Oaks Gambling Screen (SOGS): a new instrument for the identification of pathological gamblers.

Authors:  H R Lesieur; S B Blume
Journal:  Am J Psychiatry       Date:  1987-09       Impact factor: 18.112

9.  Estimating the prevalence of disordered gambling behavior in the United States and Canada: a research synthesis.

Authors:  H J Shaffer; M N Hall; J Vander Bilt
Journal:  Am J Public Health       Date:  1999-09       Impact factor: 9.308

10.  A hierarchy of gambling disorders in the community.

Authors:  Marianna Toce-Gerstein; Dean R Gerstein; Rachel A Volberg
Journal:  Addiction       Date:  2003-12       Impact factor: 6.526

  10 in total
  78 in total

1.  A taxometric analysis of problem gambling data from a South African national urban sample.

Authors:  Harold Kincaid; Reza Daniels; Andrew Dellis; Andre Hofmeyr; Jacques Rousseau; Carla Sharp; Don Ross
Journal:  J Gambl Stud       Date:  2013-09

2.  Validation of the Consumption Screen for Problem Gambling (CSPG).

Authors:  Matthew J Rockloff
Journal:  J Gambl Stud       Date:  2012-06

3.  Usage of a Responsible Gambling Tool: A Descriptive Analysis and Latent Class Analysis of User Behavior.

Authors:  David Forsström; Hugo Hesser; Per Carlbring
Journal:  J Gambl Stud       Date:  2016-09

4.  Competitiveness facets and sensation seeking as predictors of problem gambling among a sample of university student gamblers.

Authors:  Nicholas Harris; Jennifer Newby; Rupert G Klein
Journal:  J Gambl Stud       Date:  2015-06

5.  Impulsivity, gambling cognitions, and the gambler's fallacy in university students.

Authors:  Harvey H C Marmurek; Jessica Switzer; Joshua D'Alvise
Journal:  J Gambl Stud       Date:  2015-03

6.  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

7.  Gambling related cognitions mediate the association between thinking style and problem gambling severity.

Authors:  Melissa S Emond; Harvey H C Marmurek
Journal:  J Gambl Stud       Date:  2010-06

8.  Gambler Risk Perception: A Mental Model and Grounded Theory Analysis.

Authors:  Michael Spurrier; Alexander Blaszczynski; Paul Rhodes
Journal:  J Gambl Stud       Date:  2015-09

9.  Daily Fantasy Football and Self-Reported Problem Behavior in the United States.

Authors:  Brendan Dwyer; Stephen L Shapiro; Joris Drayer
Journal:  J Gambl Stud       Date:  2018-09

10.  Chinese Beliefs in Luck are Linked to Gambling Problems via Strengthened Cognitive Biases: A Mediation Test.

Authors:  Matthew S M Lim; Robert D Rogers
Journal:  J Gambl Stud       Date:  2017-12
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.