Do the Smartphone Addiction Scale-Short Version (SAS-SV) and the Internet Addiction Test (IAT) assess two distinct internet-related disorders? A comparative analysis using CFA, Set-ESEM, and Full-ESEM models

Abstract

ABSTRACT This study investigated whether the Internet Addiction Test (IAT) and the Smartphone Addiction Scale-Short Version (SAS-SV) capture separate Internet-related disorders, comparing CFA, Set-ESEM, and Full-ESEM models on a sample of 839 participants (59.1% females; M age = 30.31, SD = 10.05). The ESEM solution was selected based on fit-indices [χ 2 = 506.810; df = 248, p < .001; CFI = .976; TLI = .963; RMSEA = .035 (.031–.040); SRMR = .019; AIC = 70,390.955; BIC = 71,269.364; aBIC = 70,678.693], inter-factor correlations (.232 < r < .595), parameter estimates (significant primary target loadings and reduced cross-loadings), and theoretical interpretability. This study highlights the conceptual overlap between Internet and smartphone addiction and emphasises the importance of comparing CFA, Set-ESEM, and Full-ESEM models when two or more sets of constructs are included in a single model.