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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.

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Titel: 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.
Autoren: Valenti, Giusy D.1, Faraci, Palmira2 palmira.faraci@unikore.it
Quelle: Behaviour & Information Technology. Jun2025, Vol. 44 Issue 9, p1964-1974. 11p.
Schlagwörter: *Questionnaires, *Multivariate analysis, *Research methodology, *Factor analysis, Internet addiction, Statistical models, Goodness-of-fit tests, Statistical correlation, Smartphones, Compulsive behavior, Research methodology evaluation, Structural equation modeling, Descriptive statistics, Comparative studies
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; Mage = 30.31, SD = 10.05). The ESEM solution was selected based on fit-indices [χ2 = 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. [ABSTRACT FROM AUTHOR]
Datenbank: Library, Information Science & Technology Abstracts
Beschreibung
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; Mage = 30.31, SD = 10.05). The ESEM solution was selected based on fit-indices [χ2 = 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. [ABSTRACT FROM AUTHOR]
ISSN:0144929X
DOI:10.1080/0144929X.2024.2389077