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相关概念视频

Data Reporting and Recording01:24

Data Reporting and Recording

Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...

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相关实验视频

Updated: Jun 14, 2026

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
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介绍FRED:为生态瞬间评估数据生成反报告的软件.

Aljoscha Rimpler1,2, Björn S Siepe3, Carlotta L Rieble4

  • 1Department of Psychometrics and Statistics, University Groningen, Groningen, Netherlands. aljoscharimpler@gmail.com.

Administration and policy in mental health
|January 10, 2024
PubMed
概括
此摘要是机器生成的。

对于生态瞬间评估 (EMA) 参与者来说,FRED提供了个性化的数据报告,增强了他们的动力和合规性. 这个交互式工具通过向许多个人提供可访问的反来解决EMA大规模研究中的挑战.

关键词:
生态瞬间评估经验采样方法 经验采样方法个性化的反个人化反闪闪发光的应用程序

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科学领域:

  • 数字健康数字健康
  • 行为科学 行为科学
  • 数据科学数据科学数据科学

背景情况:

  • 生态瞬间评估 (EMA) 收集实时数据,但可能会给参与者带来负担,导致合规问题.
  • 对于大型参与者群体,EMA数据的现有反框架是不可扩展的.
  • 公民科学模型表明,参与者访问数据可以提高动机.

研究的目的:

  • 引入FRED (EMA数据反报告),这是一个交互式工具,用于为众多EMA参与者生成个性化报告.
  • 为了应对可扩展性挑战,为大型EMA研究提供反.
  • 增强参与者对EMA研究的动机和遵守.

主要方法:

  • 开发了FRED,这是一个使用R编程语言和Shiny应用框架的交互式在线工具.
  • 整合了FRED与WARN-D研究 (867名参与者,85天) 的数据.
  • FRED提供描述性统计,时间序列可视化和EMA变量的网络分析.

主要成果:

  • FRED成功地为一大群人 (867名参与者) 创建了个性化数据报告.
  • 该工具为参与者提供了可访问,交互式的数据探索.
  • FRED的基础设施可以适应各种研究和临床环境.

结论:

  • FRED提供了一个可扩展的解决方案,用于在EMA研究中提供个性化的数据反.
  • 该工具有可能改善参与者参与和数字健康研究中的数据质量.
  • 由于FRED的开源性质,可以促进其被采用和适应各种应用.