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智能手机成瘾风险、智能手机使用类型、生活满意度和感知压力数据集之间的联系。

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

作者信息

Vujić Aleksandar, Szabo Attila

机构信息

Doctoral School of Psychology, Faculty of Education and Psychology, Eötvös Loránd University, Budapest, Hungary.

Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary.

出版信息

Data Brief. 2021 Nov 27;39:107651. doi: 10.1016/j.dib.2021.107651. eCollection 2021 Dec.

Abstract

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.

摘要

收集这些数据是为了检验以下假设

有问题的智能手机使用(定义为智能手机成瘾风险)与设备使用类型/目的(享乐性,即愉悦/满足)和感知压力呈正相关,而与生活满意度呈负相关。数据于2020年10月至2021年1月期间通过Qualtrics在线研究平台在线收集。参与者年龄在18岁及以上,精通英语。通过在Facebook、LinkedIn和Twitter等流行社交媒体平台上发布调查链接,以及使用WhatsApp和Instagram等应用程序来招募他们。参与是自愿、匿名且无物质补偿的。除了人口统计学问题(年龄、性别、教育程度)外,受访者还完成了三份问卷,包括基于智能手机应用的成瘾问卷(SABAS)、生活满意度量表(SWLS)、感知压力量表(PSS),并回答了两个关于他们使用智能手机上网的时间比例以及使用智能手机进行享乐目的的时间比例的问题。在数据分析过程中,我们的目的是通过智能手机使用的类型或目的、感知压力、生活满意度、年龄和性别来预测智能手机成瘾风险。这些数据的再利用潜力在于有可能检验智能手机享乐性使用与数据集中其他变量之间的关系。研究人员还可以研究性别或教育水平在智能手机成瘾具体组成部分中的差异,因为SABAS的每个项目在成瘾的“组成部分模型”中代表一个不同的组成部分[4]。此外,由于我们有通过平板电脑、笔记本电脑和台式电脑上网的数据,因此有可能分析因变量与这些上网途径之间的关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2143/8639429/ddc2b17e775e/gr1.jpg

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