Literature DB >> 35778585

Examination of the Problem Gambling Severity Index for Use with Older Adults: A Rasch Model Approach.

Julie A Gorenko1, Candace A Konnert2.   

Abstract

Research and prevalence studies commonly use the nine-item Problem Gambling Severity Index (PGSI; Ferris and Wynne in The Canadian Problem Gambling Index, 2001) to measure problem gambling severity in older adults. However, the appropriateness of the PGSI for use with older adults must be evaluated to ensure accurate interpretation of scores. This study evaluated the PGSI with older adults that gamble using a Rasch model approach, which has not yet been examined in the literature. Data from the Quinte Longitudinal Study (Wiiliams et al. in The Quinte Longitudinal Study of Gambling and Problem Gambling 2006-2011, Bay of Quinte region, Ontario [Canada] (V28), 2014) were utilized, accessed through the Gambling Research Exchange of Ontario (GREO). Using WINSTEPS.V5, a Rasch rating scale model was applied to an older adult sample from Ontario, Canada (n = 571, Mage = 66, range = 60-80 +) to assess: (1) the dimensionality and fit between individual PGSI items and the underlying latent construct of problem gambling; (2) utility of items and response options; and (3) potential differential item functioning (DIF) between genders. Using a larger sample (N = 3206, Mage = 45, range = 18-80 +), DIF was examined across three age subgroups. Results supported unidimensionality of the PGSI and item polarity (rpm range = 0.42-0.85). Infit and outfit statistics showed mixed model misfit for three items. The use of three response options were deemed productive for measurement, but almost always was not frequently endorsed. Model-person separation (1.00) and reliability (0.50) were poor, and model-item separation (6.12) and reliability (0.97) were excellent. There was no significant DIF between older adults by gender. Three items showed significant DIF between older and younger adults. Possible modifications to improve the PGSI for use with older adults are discussed.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Older adults; PGSI; Problem gambling; Rasch modeling

Year:  2022        PMID: 35778585     DOI: 10.1007/s10899-022-10138-2

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


  16 in total

1.  Validity of the Problem Gambling Severity Index interpretive categories.

Authors:  Shawn R Currie; David C Hodgins; David M Casey
Journal:  J Gambl Stud       Date:  2013-06

2.  Evaluating the problem gambling severity index.

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

3.  A passion for gambling: a generation-specific conceptual analysis and review of gambling among older adults in Canada.

Authors:  Alessandra Alberghetti; Patricia A Collins
Journal:  J Gambl Stud       Date:  2015-06

4.  Detecting multidimensionality: which residual data-type works best?

Authors:  J M Linacre
Journal:  J Outcome Meas       Date:  1998

5.  Association of sociodemographic, psychopathological and gambling-related factors with treatment utilization for pathological gambling.

Authors:  Anja Bischof; Christian Meyer; Gallus Bischof; Diana Guertler; Nadin Kastirke; Ulrich John; Hans-Juergen Rumpf
Journal:  Eur Addict Res       Date:  2013-12-24       Impact factor: 3.015

6.  The prevalence, incidence, and gender and age-specific incidence of problem gambling: results of the Swedish longitudinal gambling study (Swelogs).

Authors:  Max Abbott; Ulla Romild; Rachel Volberg
Journal:  Addiction       Date:  2017-11-24       Impact factor: 6.526

7.  Gambling Phenotypes in Older Adults.

Authors:  Roser Granero; Susana Jiménez-Murcia; Amparo Del Pino-Gutiérrez; Teresa Mena-Moreno; Gemma Mestre-Bach; Mónica Gómez-Peña; Laura Moragas; Neus Aymamí; Isabelle Giroux; Marie Grall-Bronnec; Anne Sauvaget; Ester Codina; Cristina Vintró-Alcaraz; María Lozano-Madrid; Marco Camozzi; Zaida Agüera; Virginia Martín-Romera; Jéssica Sánchez-González; Gemma Casalé; Isabel Sánchez; Hibai López-González; Lucero Munguía; Eduardo Valenciano-Mendoza; Bernat Mora; Isabel Baenas-Soto; José M Menchón; Fernando Fernández-Aranda
Journal:  J Gambl Stud       Date:  2020-09

8.  The impact of COVID-19 on gambling and gambling disorder: emerging data.

Authors:  David C Hodgins; Rhys M G Stevens
Journal:  Curr Opin Psychiatry       Date:  2021-07-01       Impact factor: 4.741

9.  Presence of problematic and disordered gambling in older age and validation of the South Oaks Gambling Scale.

Authors:  Roser Granero; Susana Jiménez-Murcia; Fernando Fernández-Aranda; Amparo Del Pino-Gutiérrez; Teresa Mena-Moreno; Gemma Mestre-Bach; Mónica Gómez-Peña; Laura Moragas; Neus Aymamí; Isabelle Giroux; Marie Grall-Bronnec; Anne Sauvaget; Ester Codina; Cristina Vintró-Alcaraz; María Lozano-Madrid; Marco Camozzi; Zaida Agüera; Jéssica Sánchez-González; Gemma Casalé-Salayet; Isabel Sánchez; Hibai López-González; Eduardo Valenciano-Mendoza; Bernat Mora; Isabel Baenas; José M Menchón
Journal:  PLoS One       Date:  2020-05-19       Impact factor: 3.240

10.  Determinants of Gambling Disorders in Elderly People-A Systematic Review.

Authors:  Morgane Guillou Landreat; Jennyfer Cholet; Marie Grall Bronnec; Sophie Lalande; Jean Yves Le Reste
Journal:  Front Psychiatry       Date:  2019-11-25       Impact factor: 4.157

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