The connection between risk of smartphone addiction, type of smartphone use, life satisfaction, and perceived stress dataset

The data were collected to test the hypothesis that problematic smartphone use, defined as the risk of smartphone addiction, is positively related to the type/purpose of device use (hedonic, meaning pleasure/gratification) and perceived stress, while it is negatively related to life satisfaction. Th...

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Autores principales:	Aleksandar Vujić, Attila Szabo
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Hedonic use Mobile phone Problematic use Perceived stress Satisfaction with life Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/b466fc506f7f474891a65cd46beccf74
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spelling	oai:doaj.org-article:b466fc506f7f474891a65cd46beccf742021-11-30T04:16:24ZThe connection between risk of smartphone addiction, type of smartphone use, life satisfaction, and perceived stress dataset2352-340910.1016/j.dib.2021.107651https://doaj.org/article/b466fc506f7f474891a65cd46beccf742021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352340921009264https://doaj.org/toc/2352-3409The data were collected to test the hypothesis that problematic smartphone use, defined as the risk of smartphone addiction, is positively related to the type/purpose of device use (hedonic, meaning pleasure/gratification) and perceived stress, while it is negatively related to life satisfaction. The data were collected online between October 2020 and January 2021, using Qualtrics online research platform. The participants were aged 18 years or over, had a good command of the English language. They were recruited by posting the survey link on popular social media platforms, such as Facebook, LinkedIn, and Twitter, as well as by using applications such as WhatsApp and Instagram. Participation was voluntary, anonymous, and without material compensation. In addition to demographic questions (age, gender, level of education), respondents completed three questionnaires, including the Smartphone Application-Based Addiction Questionnaire (SABAS), Satisfaction with Life Scale (SWLS), Perceived Stress Scale (PSS), and answered two questions about the proportion of time they use their smartphone to access the Internet and the proportion of time they use smartphone for hedonic purposes. In the course of the data analysis, our aim was to predict the risk of smartphone addiction by the type or purpose of smartphone use, perceived stress, life satisfaction, age, and gender. The reuse potential of the data lies in the possibility to examine the relationships between the hedonic use of smartphones and other variables in the dataset. Researchers could also examine differences of gender or education level in the specific components of smartphone addiction, since each item of the SABAS represents a distinct component in the ‘Components model’ of addiction [4]. Furthermore, since we have data on Internet access via a tablet, laptop, and desktop computer, it is possible to analyse the relationships of the dependent variables with these paths of accessing the Internet.Aleksandar VujićAttila SzaboElsevierarticleHedonic useMobile phoneProblematic usePerceived stressSatisfaction with lifeComputer applications to medicine. Medical informaticsR858-859.7Science (General)Q1-390ENData in Brief, Vol 39, Iss , Pp 107651- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Hedonic use Mobile phone Problematic use Perceived stress Satisfaction with life Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390
spellingShingle	Hedonic use Mobile phone Problematic use Perceived stress Satisfaction with life Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390 Aleksandar Vujić Attila Szabo The connection between risk of smartphone addiction, type of smartphone use, life satisfaction, and perceived stress dataset
description	The data were collected to test the hypothesis that problematic smartphone use, defined as the risk of smartphone addiction, is positively related to the type/purpose of device use (hedonic, meaning pleasure/gratification) and perceived stress, while it is negatively related to life satisfaction. The data were collected online between October 2020 and January 2021, using Qualtrics online research platform. The participants were aged 18 years or over, had a good command of the English language. They were recruited by posting the survey link on popular social media platforms, such as Facebook, LinkedIn, and Twitter, as well as by using applications such as WhatsApp and Instagram. Participation was voluntary, anonymous, and without material compensation. In addition to demographic questions (age, gender, level of education), respondents completed three questionnaires, including the Smartphone Application-Based Addiction Questionnaire (SABAS), Satisfaction with Life Scale (SWLS), Perceived Stress Scale (PSS), and answered two questions about the proportion of time they use their smartphone to access the Internet and the proportion of time they use smartphone for hedonic purposes. In the course of the data analysis, our aim was to predict the risk of smartphone addiction by the type or purpose of smartphone use, perceived stress, life satisfaction, age, and gender. The reuse potential of the data lies in the possibility to examine the relationships between the hedonic use of smartphones and other variables in the dataset. Researchers could also examine differences of gender or education level in the specific components of smartphone addiction, since each item of the SABAS represents a distinct component in the ‘Components model’ of addiction [4]. Furthermore, since we have data on Internet access via a tablet, laptop, and desktop computer, it is possible to analyse the relationships of the dependent variables with these paths of accessing the Internet.
format	article
author	Aleksandar Vujić Attila Szabo
author_facet	Aleksandar Vujić Attila Szabo
author_sort	Aleksandar Vujić
title	The connection between risk of smartphone addiction, type of smartphone use, life satisfaction, and perceived stress dataset
title_short	The connection between risk of smartphone addiction, type of smartphone use, life satisfaction, and perceived stress dataset
title_full	The connection between risk of smartphone addiction, type of smartphone use, life satisfaction, and perceived stress dataset
title_fullStr	The connection between risk of smartphone addiction, type of smartphone use, life satisfaction, and perceived stress dataset
title_full_unstemmed	The connection between risk of smartphone addiction, type of smartphone use, life satisfaction, and perceived stress dataset
title_sort	connection between risk of smartphone addiction, type of smartphone use, life satisfaction, and perceived stress dataset
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/b466fc506f7f474891a65cd46beccf74
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The connection between risk of smartphone addiction, type of smartphone use, life satisfaction, and perceived stress dataset

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