EAGER: Development of a Novel Online Visual Survey Data Analysis Tool and Assessment of its Capabilities to Enhance Learning of Quantitative Research Methods

EAGER：开发新型在线视觉调查数据分析工具并评估其增强定量研究方法学习的能力

• 批准号: 1443082
• 负责人: Ilya Zaslavsky
• 金额: $ 30万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-06-15 至 2018-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1443082&HistoricalAwards=false
• 关键词: EAGER; Development; Novel; Online; Visual

As public opinion and other surveys become a ubiquitous tool in many contexts and disciplinary domains, the need for online survey analysis systems that can be used by non-professionals to quickly and accurately analyze patterns of responses in different subsets of respondents is also increasing. The system developed by the project will vastly expand opportunities for survey data access and online data sharing and exploration in several domains that rely on questionnaire data collection. The ability to annotate patterns of responses and share the annotations with others leads to a valuable new quality in survey analysis, making it a collaborative and interactive online experience. Important benefits are expected in education and learning. Online learning of research methods is often hampered by a deep-seated fear of quantitative approaches reported by many social science majors. The ability to relate inferential results with easy to use visual interactive exploration of social datasets will help students test distributional assumptions, compute models for graphically selected groups of respondents, and find and explain outliers. This combination of features has the potential to transform how survey data are shared and analyzed online, and increase the value of research investment in sociological and related studies by promoting reuse of available data. This project's goal is to build an online tool for exploratory survey data analysis, which can be used by researchers and students to examine, analyze, share, and publish public opinion and other questionnaire surveys. The online tool offers a new visual metaphor for analyzing surveys and intuitively uncovering patterns of relationships, making survey data easy to share, appealing to explore, and simple to navigate from any subsets of respondents to individual cases. The project leverages technical approaches from image analytics, faceted search, and online map navigation, combining them into a novel survey authoring and online publication system which allows users to juxtapose interactive exploration with common inferential statistics, and share and annotate analytical results. The system is evaluated as a learning tool in several research method classes for both graduate and undergraduate students. In addition, it is field tested in a number of surveys conducted by the project and the advisory team members. A key novel feature of the survey analysis system is its efficient and intuitive exploratory data analysis interface accessible by a wide group of expert and non-expert users. Another key novel feature is its support of standards-based data sharing, collaboration, and communication among social survey analysts and students. The project includes development of architecture and information models for a cyberlearning-focused survey analysis system; integration of inferential statistics and exploratory approaches in a single easy to use visual analytical interface; and exploration of survey data sharing, collaborative online analysis and annotations.

随着舆论和其他调查成为许多环境和学科领域中普遍存在的工具，对可供非专业人士用来快速、准确地分析不同受访者子集的反应模式的在线调查分析系统的需求也在不断增加。该项目开发的系统将极大地扩大依赖问卷数据收集的多个领域的调查数据访问、在线数据共享和探索的机会。注释响应模式并与其他人共享注释的能力为调查分析带来了宝贵的新品质，使其成为一种协作和交互式的在线体验。预计在教育和学习方面会带来重要的好处。研究方法的在线学习常常受到许多社会科学专业报告的对定量方法根深蒂固的恐惧的阻碍。将推理结果与易于使用的社交数据集的可视化交互式探索联系起来的能力将帮助学生测试分布假设、计算以图形方式选择的受访者群体的模型以及查找和解释异常值。这种功能组合有可能改变在线共享和分析调查数据的方式，并通过促进可用数据的重用来增加社会学和相关研究的研究投资价值。该项目的目标是构建一个用于探索性调查数据分析的在线工具，可供研究人员和学生用来检查、分析、分享和发布舆情和其他问卷调查。该在线工具提供了一种新的视觉隐喻，用于分析调查并直观地揭示关系模式，使调查数据易于共享、吸引人探索，并且易于从任何受访者子集导航到个别案例。该项目利用图像分析、分面搜索和在线地图导航等技术方法，将它们组合成一个新颖的调查创作和在线发布系统，允许用户将交互式探索与常见的推理统计并置，并共享和注释分析结果。该系统在研究生和本科生的多个研究方法课程中被评估为学习工具。此外，它还在项目和咨询团队成员进行的多项调查中进行了现场测试。调查分析系统的一个关键新颖功能是其高效且直观的探索性数据分析界面，可供广大专家和非专家用户访问。另一个重要的新颖功能是它支持社会调查分析师和学生之间基于标准的数据共享、协作和沟通。该项目包括开发以网络学习为中心的调查分析系统的架构和信息模型；将推论统计和探索性方法集成在一个易于使用的可视化分析界面中；以及调查数据共享、协作在线分析和注释的探索。