%0期刊文章%@ 1438-8871 %I JMIR出版物%V 22 卡塔尔世界杯8强波胆分析%N 2 %P 16736 %T测量兴趣而不是分钟:青少年数字技术互动和重要性量表(ADTI)的开发与验证%A Moreno,Megan A %A Binger,Kole %A Zhao,Qianqian %A Eickhoff,Jens %+美国威斯康星大学麦迪逊分校儿科学系，麦迪逊大学大道2870号，200室，威斯康星州，53705，美国，1 6082632846,mamoreno@pediatrics.wisc.edu %K技术%K青少年%K方法调查社交媒体屏幕时间仪器开发背景:交互式数字技术的使用是青少年生活中不可或缺的一部分，对健康既有益处，也有风险。以前的研究主要集中在测量技术使用的数量或了解特定平台的使用。为了更好地了解青少年的交互式数字技术使用，我们需要考虑技术交互及其重要性的新方法。目的:本研究旨在开发一套评估青少年数字技术互动及其感知重要性的评估工具。方法:我们使用了一种经过验证的量表开发方法，包括创建项目池的两个初始步骤:项目池开发和项目池优化。这些步骤依赖于实证文献综述和专家召集。然后，我们使用基于web的调查来评估项目池。数据是通过qualics小组招聘从12至18岁的全国样本中收集的。 Participant data were randomly split into a development subsample for exploratory factor analysis (EFA) and a test subsample for confirmatory factor analysis (CFA). We assessed Cronbach alpha as well as model fit characteristics including root mean square error of approximation (RMSEA) and comparative fit index (CFI). Results: Our initial item pool had 71 items and the refined item pool contained 40. A total of 761 adolescents assessed the item pool via Web-based survey. Participants had a mean age of 14.8 (SD 1.7) years and were 52.8% (402/761) female and 77.5% (590/761) white. The EFA analysis included 500 participants and an 18-item draft scale was created. The CFA included 261 participants to test the draft scale. Adequate model fit for the scale was indicated by an RMSEA of 0.063 and a CFI of 0.95. The final scale included 18 items in a 3-factor model, with Cronbach alpha for the 3 factors of .87 (factor 1), .90 (factor 2) and .82 (factor 3). The 3 factors were named (1) technology to bridge online and offline experiences, (2) technology to go outside one’s identity or offline environment, and (3) technology for social connection. Conclusions: The resulting Adolescents’ Digital Technology Interactions and Importance (ADTI) scale is a promising and psychometrically validated tool for identifying the importance of distinct technology interactions. The scale is informed by relevant theory and expert input. The 3 subscales have utility for future studies to understand whether certain subscale score ranges are associated with health or well-being outcomes. %M 32049068 %R 10.2196/16736 %U //www.mybigtv.com/2020/2/e16736 %U https://doi.org/10.2196/16736 %U http://www.ncbi.nlm.nih.gov/pubmed/32049068