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.

由于公众舆论和其他调查在许多情况下成为普遍存在的工具和纪律领域，因此非营利组织可以将其使用的在线调查分析系统需要快速，准确地分析受访者不同子集中的响应模式的需求也在增加。该项目开发的系统将大大扩大依赖问卷数据收集的几个领域的调查数据访问以及在线数据共享和探索的机会。注释响应模式并与他人共享注释的能力导致了在调查分析中有价值的新质量，使其成为协作和互动的在线体验。在教育和学习中预期的是重要的好处。许多社会科学专业报道的对定量方法的深刻恐惧，通常会阻碍研究方法的在线学习。将推论结果与易于使用的社交数据集的视觉互动探索联系起来的能力将帮助学生测试分布假设，计算图形选择的受访者组的模型，并查找和解释异常值。这种功能的组合具有改变在线共享和分析调查数据的潜力，并通过促进可用数据的重复使用来增加研究投资对社会学和相关研究的价值。该项目的目标是构建一个在线工具进行探索性调查数据分析，研究人员和学生可以使用该工具来检查，分析，共享和发布公众舆论以及其他问卷调查。该在线工具提供了一种新的视觉隐喻，用于分析调查和直观地发现关系模式，使调查数据易于共享，吸引探索，并且易于从任何受访者子集中导航到各个情况下。该项目利用图像分析，搜索和在线地图导航的技术方法，将它们结合到一个新颖的调查创作和在线出版系统中，该系统允许用户与共同的推论统计信息并列，并共享和注释分析结果。该系统在研究生和本科生的几种研究方法课程中被评估为学习工具。此外，在该项目和咨询小组成员进行的许多调查中，对其进行了现场测试。调查分析系统的一个关键新颖特征是其高效，直观的探索性数据分析接口可供广泛的专家和非专家用户访问。另一个关键的小说功能是它支持基于标准的数据共享，协作和社会调查分析师和学生之间的沟通。该项目包括开发以网络学习为重点的调查分析系统的建筑和信息模型；在单个易于使用的视觉分析界面中集成了推论统计和探索方法；以及调查数据共享，协作在线分析和注释的探索。