Further exploration of the psychometric properties of the revised version of the Italian smartphone addiction scale – short version (SAS-SV)

Servidio, R, Griffiths, MD ORCID logoORCID: https://orcid.org/0000-0001-8880-6524, Di Nuovo, S, Sinatra, M and Monacis, L, 2023. Further exploration of the psychometric properties of the revised version of the Italian smartphone addiction scale – short version (SAS-SV). Current Psychology, 42, pp. 27245-27258. ISSN 1046-1310

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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 cutoff of 29 points as the best for the SAS-SV (AUC = 0.85). Moreover, among males, the cutoff was 25 (AUC = 0.84), and among females, the cutoff 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.

Item Type: Journal article
Publication Title: Current Psychology
Creators: Servidio, R., Griffiths, M.D., Di Nuovo, S., Sinatra, M. and Monacis, L.
Publisher: Springer
Date: November 2023
Volume: 42
ISSN: 1046-1310
Identifiers:
Number
Type
10.1007/s12144-022-03852-y
DOI
1610058
Other
Rights: © the author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Divisions: Schools > School of Social Sciences
Record created by: Jonathan Gallacher
Date Added: 18 Oct 2022 08:40
Last Modified: 13 Oct 2023 15:38
URI: https://irep.ntu.ac.uk/id/eprint/47262

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