Rosen L D, Whaling K, Carrier L M, Cheever N A, Rokkum J
California State University, Dominguez Hills, CA 90747, United States.
Comput Human Behav. 2013 Nov 1;29(6):2501-2511. doi: 10.1016/j.chb.2013.06.006.
Current approaches to measuring people's everyday usage of technology-based media and other computer-related activities have proved to be problematic as they use varied outcome measures, fail to measure behavior in a broad range of technology-related domains and do not take into account recently developed types of technology including smartphones. In the present study, a wide variety of items, covering a range of up-to-date technology and media usage behaviors. Sixty-six items concerning technology and media usage, along with 18 additional items assessing attitudes toward technology, were administered to two independent samples of individuals, comprising 942 participants. Factor analyses were used to create 11 usage subscales representing smartphone usage, general social media usage, Internet searching, e-mailing, media sharing, text messaging, video gaming, online friendships, Facebook friendships, phone calling, and watching television in addition to four attitude-based subscales: positive attitudes, negative attitudes, technological anxiety/dependence, and attitudes toward task-switching. All subscales showed strong reliabilities and relationships between the subscales and pre-existing measures of daily media usage and Internet addiction were as predicted. Given the reliability and validity results, the new Media and Technology Usage and Attitudes Scale was suggested as a method of measuring media and technology involvement across a variety of types of research studies either as a single 60-item scale or any subset of the 15 subscales.
目前用于衡量人们日常对基于技术的媒体及其他与计算机相关活动的使用情况的方法已被证明存在问题,因为它们使用的结果测量方法各不相同,未能在广泛的与技术相关的领域中测量行为,并且没有考虑到包括智能手机在内的最近开发的技术类型。在本研究中,设计了各种各样的项目,涵盖了一系列最新的技术和媒体使用行为。向两个独立的个体样本(共942名参与者)发放了66个关于技术和媒体使用的项目,以及另外18个评估对技术态度的项目。使用因子分析创建了11个使用性子量表,分别代表智能手机使用、一般社交媒体使用、互联网搜索、电子邮件、媒体分享、短信、视频游戏、在线友谊、脸书友谊、打电话和看电视,此外还创建了4个基于态度的子量表:积极态度、消极态度、技术焦虑/依赖以及对任务切换的态度。所有子量表都显示出很强的信度,并且子量表与日常媒体使用和网络成瘾的现有测量方法之间的关系正如预期的那样。鉴于信度和效度结果,建议将新的媒体与技术使用及态度量表作为一种测量方法,用于各类研究中测量媒体和技术参与度,既可以作为一个包含60个项目的单一量表,也可以作为15个子量表中的任何一个子集。