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Conditional administration of items in the Gambling Harms Measure: Psychometric justification and implications for
Youssef Allami1, Nolan B Gooding2, Robert J Williams3
1School of Psychology, Universite Laval.
Summary
Conditionally administering severe gambling harm items maintains measure accuracy while easing participant burden. This approach enhances the feasibility of large-scale surveys and screening interviews.
Area of Science:
- Psychometrics
- Behavioral Science
- Public Health
Background:
- The Gambling Harms Measure (GHM) assesses gambling-related harms across six domains.
- Evaluating the psychometric properties of conditionally administered severe items is crucial for optimizing assessment tools.
Purpose of the Study:
- To assess the psychometric justification for conditionally administering the most severe items within the GHM subscales.
- To determine if this administration method impacts the measure's reliability and validity.
Main Methods:
- Longitudinal study data from 2,849 participants completing the GHM.
- Analysis included item endorsement rates, Cronbach's alpha, equivalence testing, paired t-tests, and confirmatory factor analysis.
Main Results:
- Conditional items were endorsed by a small percentage of participants (1.1%-4.7%).
- Psychometric properties, including Cronbach's alpha and factorial structure, remained largely intact.
- Equivalence testing supported practical equivalence between full and conditional administration methods.
Conclusions:
- Conditional administration of severe GHM items is psychometrically sound.
- This method reduces response burden and enhances the feasibility of large-scale assessments.
- Reliability and validity are maintained, making it suitable for surveys and screening.
