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  • Monacis, Lucia  (3)
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  • 1
    In: Addictive Behaviors, Elsevier BV, Vol. 122 ( 2021-11), p. 107014-
    Type of Medium: Online Resource
    ISSN: 0306-4603
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
    detail.hit.zdb_id: 2012189-1
    SSG: 5,2
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  • 2
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2023
    In:  Current Psychology Vol. 42, No. 31 ( 2023-11), p. 27245-27258
    In: Current Psychology, Springer Science and Business Media LLC, Vol. 42, No. 31 ( 2023-11), p. 27245-27258
    Abstract: Problematic smartphone use (PSU) is an emerging public and social issue, potentially connected to the significant increase in smartphone applications. Different scales have been designed and developed to identify the risk of smartphone addiction, and the 10-item Smartphone Addiction Scale - Short Version (SAS-SV) is one of the most used instruments to assess the risk of PSU. The main objective of the present study was to provide further psychometric properties of the Italian version of the SAS-SV. The study was conducted with a convenience sample of 858 Italian university students. Parallel and confirmatory factor analyses were performed to confirm if the one-factor structure fitted the data well. In addition, because previous studies have emphasised gender and age differences in the SAS-SV, measurement invariance was also tested. Network analysis, predictive validity, and convergent validity were also explored. The parallel analysis results suggested removing Item 3 (feeling pain) because its factor loading was low, resulting in a nine-item SAS-SV. The measurement invariance showed that the SAS-SV performed similarly for gender and age. However, partial scalar invariance across gender and age was observed. Furthermore, gender differences indicated that more females than males scored higher on SAS-SV. No significant age differences were found. The receiver operating characteristic (ROC) curve results indicated a cut-off of 29 points as the best for the SAS-SV (AUC = 0.85). Moreover, among males, the cut-off was 25 (AUC = 0.84), and among females, the cut-off was 30 (AUC = 0.84). The SAS-SV showed a strong association with problematic social media use (PSMU) and other variables related to smartphone use (e.g., time spent on Facebook, Instagram , and WhatsApp ). Overall, the present study results indicate that the nine-item SAS-SV appears to be a valid and reliable instrument to assess PSU risk among Italian university students.
    Type of Medium: Online Resource
    ISSN: 1046-1310 , 1936-4733
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2021598-8
    SSG: 5,2
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  • 3
    Online Resource
    Online Resource
    MDPI AG ; 2020
    In:  International Journal of Environmental Research and Public Health Vol. 17, No. 16 ( 2020-08-08), p. 5738-
    In: International Journal of Environmental Research and Public Health, MDPI AG, Vol. 17, No. 16 ( 2020-08-08), p. 5738-
    Abstract: Research on selfie-related behavior has recently flourished. The present study expands theoretical and empirical work on phenomenon by assessing the psychometric properties of the Selfitis Behavior Scale among an Italian sample and by examining its unexplored mediating role in the relationships between dark triad traits and social media addiction. A total of 490 participants (53.1% females) completed a self-report survey including socio-demographics, the Selfitis Behavior Scale (SBS), the Short Dark Triad Scale (SD3), and the Bergen Social Media Addiction Scale (BSMAS). Results showed the SBS had a five-factor structure with good psychometrics properties in terms of reliability coefficients and measurement invariance across gender. In addition, findings from the path model supported the mediating role of selfitis behavior in the relationships of narcissism and psychopathy with social media addiction. Machiavellianism was found to be unrelated to selfitis behavior and social media addiction. The model shed light into the previous inconsistent findings on the associations between dark triad traits and social media addiction by taking into account the key role of selfitis behavior as an underlying mechanism. The findings may explain individual differences in personality traits associated with co-dependence (i.e., the combination of the dependence on self and others and social media addiction).
    Type of Medium: Online Resource
    ISSN: 1660-4601
    Language: English
    Publisher: MDPI AG
    Publication Date: 2020
    detail.hit.zdb_id: 2175195-X
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