Psychosocial Predictors of Problematic Social Media Use and Internet Gaming Disorder in University Students (Dataset)

Description

This dataset includes responses from 935 university students (M = 21.23; SD = 4.23; 66.09% female) who completed a battery of self-report measures assessing personality traits, emotional dysregulation, decision-making styles, and executive control, as well as indicators of Problematic Social Media Use (PSMU) and Internet Gaming Disorder (IGD). The data were collected as part of a cross-sectional study conducted within the framework of the I-PACE model (Brand et al., 2019), aiming to identify shared and distinct psychosocial predictors of PSMU and IGD in young adults. Variables include raw scores for all scales, demographic information (age, gender), and group classifications based on vulnerability to PSMU, IGD, or co-occurrence of both. The dataset can be used to explore behavioral addiction profiles in youth, the interaction between cognitive-emotional variables, and the development of tailored prevention strategies.

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