Growing up in a digital world: A synergistic approach to understanding media use in children ages 1-8 years

项目总结 在了解媒体曝光对儿童结局的影响方面取得的进展受到缺乏 庞大且具有代表性的纵向数据集，跟踪内容质量的难度在不断变化 媒体环境，以及缺乏快速分享和分析结果的机制，在理论上驱动 举止。这项P01提案的首要目标是检查媒体使用的轨迹-表征 媒体的背景、内容和有问题的使用-在1200名1至7岁和 使用队列序列检验情绪调节和社交能力的时间相关性 设计。行政核心将整理和整合家庭媒体曝光综合评估 (CAFE)工具包数据以及三个人的情绪调节和社交能力结果数据 学习。CAFE工具包通过基于网络的调查问卷时间使用来衡量家庭媒体的使用情况 在家庭移动设备上安装日记和被动感知应用程序(Barr等人，2020年；Radesky等人，2020b)。 行政核心将管理整个时代的三项纵向研究的数据集成 范围(1-3岁、3-5岁、5-7岁)。从新的队列中收集的数据将与以前和 在COVID大流行期间，相同的研究小组使用相同的CAFE工具包检查如何 媒体曝光模式因疫情的不同而不同，以及这些经历如何与社会-- 情感上的结果。P01还将开发方法来提高编码质量的效率 媒体内容，该领域的一个瓶颈。最后，数据将在中进行集成、共享、可视化和分析 共享的分析研究中心。 1

Project summary Progress in understanding the effects of media exposure on child outcomes has been limited by the lack of large and representative longitudinal datasets, the difficulty of tracking quality of content in an ever-changing media environment, and the lack of a mechanism to rapidly share and analyze results in a theoretically driven manner. The overarching goal of this P01 proposal is to examine trajectories of media use - characterizing the context, content, and problematic uses of media - in a diverse group of 1200 children aged 1 to 7 years and examining temporal associations with emotion regulation and social competence using a cohort sequential design. The admin core will collate and integrate the Comprehensive Assessment of Family Media Exposure (CAFE) Toolkit data along with emotion regulation and social competence outcome data across the three studies. The CAFE Toolkit measures household media use through a web-based questionnaire, time-use diary, and passive-sensing app installed on family mobile devices (Barr et al., 2020; Radesky et al., 2020b). The administrative core will manage the data integration of the three longitudinal studies across the entire age range (1-3, 3-5, 5-7 year olds). Data collected from new cohorts will be compared to data collected before and during the COVID pandemic by the same research groups using the same CAFE Toolkit to examine how media exposure patterns varied as a function of the pandemic and how those experiences are related to socio- emotional outcomes. The P01 will also develop methods to increase the efficiency of coding the quality of media content, a bottleneck in the field. Finally, the data will be integrated, shared, visualized, and analyzed in a shared analytic Research Hub. 1