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Examination of the Problem Gambling Severity Index for Use with Older Adults: A Rasch Model Approach
Julie A Gorenko1, Candace A Konnert2
1Department of Psychology, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 1N4, Canada. julie.gorenko@ucalgary.ca.
Journal of Gambling Studies
|July 1, 2022
Summary
The Problem Gambling Severity Index (PGSI) shows potential for older adults, but some items need adjustment. Rasch modeling revealed no gender bias, though age-related differences in item functioning were observed.
Area of Science:
- Gerontology
- Psychometrics
- Addiction Research
Background:
- The nine-item Problem Gambling Severity Index (PGSI) is commonly used to assess problem gambling severity in older adults.
- Evaluating the PGSI's appropriateness for this demographic is crucial for accurate score interpretation.
- Previous research has not utilized Rasch modeling to examine the PGSI's psychometric properties in older adults.
Purpose of the Study:
- To evaluate the psychometric properties of the PGSI in older adults using Rasch modeling.
- To assess the dimensionality, item fit, response utility, and differential item functioning (DIF) of the PGSI in this population.
- To identify potential modifications to improve the PGSI for older adult gamblers.
Main Methods:
- A Rasch rating scale model was applied to data from the Quinte Longitudinal Study (n=571, aged 60+).
- Analysis assessed PGSI item dimensionality, fit, response option utility, and DIF by gender.
- A larger sample (N=3206, aged 18-80+) was used to examine DIF across age subgroups.
Main Results:
- The PGSI demonstrated unidimensionality and acceptable item polarity.
- Three items exhibited model misfit, and response options were underutilized.
- Model-person separation and reliability were poor, while model-item separation and reliability were excellent.
- No significant gender-based DIF was found in older adults, but three items showed DIF between older and younger adults.
Conclusions:
- The PGSI shows promise for assessing problem gambling in older adults, but requires modifications for improved measurement.
- Specific items may function differently across age groups, necessitating further investigation and potential revision.
- The study highlights the utility of Rasch modeling in evaluating measurement tools for specific demographic groups.

