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ABSTRACT: Background
While the constitutive features of problematic social media use (PSMU) have been formulated, there has been a lack of studies in the field examining the structure of relationships among PSMU components.Method
This study employed network analytic methods to investigate the connectivity among PSMU components in a large sample of 1,136 college student social media users (M age = 19.69, SD = 1.60). Components of PSMU were assessed by the Bergen Social Media Addiction Scale (BSMAS) derived from a components model of addiction. We computed two types of network models, Gaussian graphical models (GGMs) to examine network structure and influential nodes and directed acyclic graphs (DAGs) to identify the probabilistic dependencies among components.
SUBMITTER: Chen J
PROVIDER: S-EPMC11770832 | biostudies-literature | 2024
REPOSITORIES: biostudies-literature