Conference and Workshop: Dynamical Systems Data Analysis

会议和研讨会：动力系统数据分析

• 批准号: 6570288
• 负责人: STEVEN M BOKER
• 金额: $ 1.87万
• 依托单位: UNIVERSITY OF NOTRE DAME
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-30 至 2003-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6570288
• 关键词: behavioral /social science; clinical research; computer data analysis; meeting /conference /symposium; statistics /biometry; workshop

DESCRIPTION (provided by applicant): Empirical research in gerontology, psychology, education, and neuroscience is increasingly dependent on the use of statistical tools to design experiments, verify measurement instruments, test hypotheses, and interpret models. As these tools become more advanced, training in the appropriate use of quantitative methodology becomes both more important and more specialized. The present proposal addresses this problem by increasing the number of opportunities for exposure to advanced quantitative methods available to researchers in the social sciences. An annual conference and workshop will be held at the University of Notre Dame in which top scholars in quantitative methodology will present a series of talks focused around either a central unifying methodological theme or targeted for a particular audience of substantive research in the behavioral sciences. The present proposal covers the second year in this series: Dynamical Systems Data Analysis. The sessions will present practical techniques for the analysis of experimental data from a dynamical systems perspective with the purpose that attendees may immediately use their acquired knowledge to improve the quality of their sponsored research and improve the experimental designs within proposals for sponsored research.

老年学，心理学，教育和神经科学的实证研究越来越依赖于使用统计工具来设计实验，验证测量工具，检验假设和解释模型。 随着这些工具越来越先进，适当使用定量方法的培训变得更加重要和专业化。 本提案通过增加社会科学研究人员接触先进定量方法的机会来解决这一问题。 每年的会议和研讨会将在圣母大学举行，其中定量方法的顶级学者将围绕一个中心统一的方法论主题或针对行为科学实质性研究的特定受众进行一系列会谈。 本建议涵盖本系列的第二年：动态系统数据分析。 会议将提出从动力系统角度分析实验数据的实用技术，目的是使与会者可以立即使用他们获得的知识来提高他们赞助研究的质量，并改进赞助研究提案中的实验设计。