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Reconsidering item response categories in gaming disorder symptoms measurement.

Daniel L KingAbel Nogueira LópezChristina R GalanisToshitaka HamamuraChristian BäcklundAlessandro GiardinaBillieux JoëlPaul H Delfabbro
Published in: Journal of behavioral addictions (2023)
Gaming disorder (GD) screening often involves self-report survey measures to detect the presence of symptoms. Studies have shown that gamers' responses vary greatly across survey items. Some symptoms, such as preoccupation and tolerance, are frequently reported by highly engaged but non-problematic gamers, and therefore these symptoms are thought to lack specificity and are suggested to be less important in classification decisions. We argue that the influence of response categories (e.g., dichotomous responses, such as 'yes' or 'no'; or frequency categories, such as 'rarely' and 'often') on item responses has been relatively underexplored despite potentially contributing significantly to the psychometric performance of items and scales. In short, the type of item response may be just as important to symptom reporting as the content of survey questions. We propose some practical alternatives to currently used item categories across GD tools. Research should examine the performance of different response categories, including whether certain response categories aid respondents' comprehension and insight, and better capture pathological behaviours and harms.
Keyphrases
  • cross sectional
  • machine learning
  • psychometric properties
  • emergency department
  • adverse drug
  • structural basis