一个基于标记的开源平台,用于可编程和可重复的调查
Pingfan Hu1, Bogdan Bunea1, John Paul Helveston1
1Department of Engineering Management and Systems Engineering, George Washington University, Washington, District of Columbia, United States of America.
PloS one
|August 29, 2025
概括
研究人员现在可以使用SurveyDown构建可编程和可重复的调查, 这是一个利用标记和R代码的平台. 这种开源工具增强了调查创建和分析的协作和数据控制.
科学领域:
- 计算机科学
- 数据科学
- 社会科学
背景情况:
- 传统的调查平台通常依赖于图形界面或电子表格,限制可复制性和版本控制.
- 缺乏与R中的现有数据分析工作流程的整合,可能会阻碍研究效率.
研究的目的:
- 推出 surveydown,一个开源平台,用于创建可编程和可重复的调查.
- 使研究人员能够利用R代码和标记来进行高级调查设计和数据管理.
主要方法:
- 使用R标记进行调查定义,通过GitHub等平台实现版本控制.
- 使用R Shiny网络框架进行交互式调查应用.
- 支持条件逻辑,动态问题显示和随机化等复杂功能.
主要成果:
- 这样可以创建高度可定制和互动的调查.
- 该平台可与基于R的数据收集和分析工作流程无集成.
- 研究人员对调查实施和数据存储保持完全控制.
结论:
- surveyydown提供了一种可重复和协作式的调查研究方法.
- 该平台为研究人员提供了先进的功能和对数据的更大控制权.
- 提高了调查研究过程的效率和完整性.
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