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Social networking addiction, attachment style, and validation of the Italian version of the Bergen Social Media Addiction Scale
AIM: Research into social networking addiction has greatly increased over the last decade. However, the number of validated instruments assessing addiction to social networking sites (SNSs) remains few, and none have been validated in the Italian language. Consequently, this study tested the psychom...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Akadémiai Kiadó
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5520120/ https://www.ncbi.nlm.nih.gov/pubmed/28494648 http://dx.doi.org/10.1556/2006.6.2017.023 |
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author | Monacis, Lucia de Palo, Valeria Griffiths, Mark D. Sinatra, Maria |
author_facet | Monacis, Lucia de Palo, Valeria Griffiths, Mark D. Sinatra, Maria |
author_sort | Monacis, Lucia |
collection | PubMed |
description | AIM: Research into social networking addiction has greatly increased over the last decade. However, the number of validated instruments assessing addiction to social networking sites (SNSs) remains few, and none have been validated in the Italian language. Consequently, this study tested the psychometric properties of the Italian version of the Bergen Social Media Addiction Scale (BSMAS), as well as providing empirical data concerning the relationship between attachment styles and SNS addiction. METHODS: A total of 769 participants were recruited to this study. Confirmatory factor analysis (CFA) and multigroup analyses were applied to assess construct validity of the Italian version of the BSMAS. Reliability analyses comprised the average variance extracted, the standard error of measurement, and the factor determinacy coefficient. RESULTS: Indices obtained from the CFA showed the Italian version of the BSMAS to have an excellent fit of the model to the data, thus confirming the single-factor structure of the instrument. Measurement invariance was established at configural, metric, and strict invariances across age groups, and at configural and metric levels across gender groups. Internal consistency was supported by several indicators. In addition, the theoretical associations between SNS addiction and attachment styles were generally supported. CONCLUSION: This study provides evidence that the Italian version of the BSMAS is a psychometrically robust tool that can be used in future Italian research into social networking addiction. |
format | Online Article Text |
id | pubmed-5520120 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Akadémiai Kiadó |
record_format | MEDLINE/PubMed |
spelling | pubmed-55201202017-08-02 Social networking addiction, attachment style, and validation of the Italian version of the Bergen Social Media Addiction Scale Monacis, Lucia de Palo, Valeria Griffiths, Mark D. Sinatra, Maria J Behav Addict Full-Length Report AIM: Research into social networking addiction has greatly increased over the last decade. However, the number of validated instruments assessing addiction to social networking sites (SNSs) remains few, and none have been validated in the Italian language. Consequently, this study tested the psychometric properties of the Italian version of the Bergen Social Media Addiction Scale (BSMAS), as well as providing empirical data concerning the relationship between attachment styles and SNS addiction. METHODS: A total of 769 participants were recruited to this study. Confirmatory factor analysis (CFA) and multigroup analyses were applied to assess construct validity of the Italian version of the BSMAS. Reliability analyses comprised the average variance extracted, the standard error of measurement, and the factor determinacy coefficient. RESULTS: Indices obtained from the CFA showed the Italian version of the BSMAS to have an excellent fit of the model to the data, thus confirming the single-factor structure of the instrument. Measurement invariance was established at configural, metric, and strict invariances across age groups, and at configural and metric levels across gender groups. Internal consistency was supported by several indicators. In addition, the theoretical associations between SNS addiction and attachment styles were generally supported. CONCLUSION: This study provides evidence that the Italian version of the BSMAS is a psychometrically robust tool that can be used in future Italian research into social networking addiction. Akadémiai Kiadó 2017-05-11 2017-06 /pmc/articles/PMC5520120/ /pubmed/28494648 http://dx.doi.org/10.1556/2006.6.2017.023 Text en © 2017 The Author(s) http://creativecommons.org/licenses/by-nc/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium for non-commercial purposes, provided the original author and source are credited. |
spellingShingle | Full-Length Report Monacis, Lucia de Palo, Valeria Griffiths, Mark D. Sinatra, Maria Social networking addiction, attachment style, and validation of the Italian version of the Bergen Social Media Addiction Scale |
title | Social networking addiction, attachment style, and validation of the Italian version of the Bergen Social Media Addiction Scale |
title_full | Social networking addiction, attachment style, and validation of the Italian version of the Bergen Social Media Addiction Scale |
title_fullStr | Social networking addiction, attachment style, and validation of the Italian version of the Bergen Social Media Addiction Scale |
title_full_unstemmed | Social networking addiction, attachment style, and validation of the Italian version of the Bergen Social Media Addiction Scale |
title_short | Social networking addiction, attachment style, and validation of the Italian version of the Bergen Social Media Addiction Scale |
title_sort | social networking addiction, attachment style, and validation of the italian version of the bergen social media addiction scale |
topic | Full-Length Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5520120/ https://www.ncbi.nlm.nih.gov/pubmed/28494648 http://dx.doi.org/10.1556/2006.6.2017.023 |
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