Factor Structure of the Symptoms of Alcohol Use, Gaming, and Gambling Addictions

Alcohol use, gaming, and gambling addictions are recognized in some form by the major clinical classification symptoms. The current study applied confirmatory factor analysis (CFA) models to compare four different models comprising the symptoms of these addictions. The four models were one-factor (all different types of addiction symptoms loading on a single factor), two-factor (alcohol use and internet/gambling latent factors), three-factor (alcohol use, internet gaming, and gambling symptoms loading only on their respective target latent factors), and bi-factor (alcohol use, internet gaming, and gambling symptoms loading on their respective target latent factor and also on the general addiction factor) models. A general community sample of 968 adults (males = 622, females = 315) completed rating scales with symptoms for the three addictions and also for drug use addiction and distress. Both the three-factor and bi-factor models showed a good fit. However, between these models, only the factors of the three-factor model showed good clarity, reliabilities, and external validities, thereby suggesting that this be the best model to represent ratings of alcohol use, internet gaming, and gambling together. The theoretical, taxonomic, and clinical implications of the findings are discussed.