Basic and Applied Statistical Inference and Measurement

基础和应用统计推断和测量

• 批准号: 0317956
• 负责人: Joseph Gastwirth
• 金额: --
• 依托单位: George Washington University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-08-01 至 2008-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0317956&HistoricalAwards=false
• 关键词: Basic; Applied; Statistical; Inference; Measurement

The project will develop statistical procedures for a variety of problems that arise in the use of statistics in law, public policy, and in basic social science research. The project will examine problems in legal, social science, and public policy contexts and develop appropriate probability models and statistical methodology for their solution. The objective is to ensure that sound methodology is used in these important areas. This project, for example, will study some techniques that have been used in actual legal cases to assess their statistical properties and create alternative methods that are more efficient. Because protecting the privacy of study participants and guaranteeing the confidentiality of the information they provide is essential for retaining public cooperation, the project also will investigate methods using grouped rather than individual data.The legal system decides many important issues in our society. It therefore is important that the statistical evidence submitted in actual cases involving, for example, equal employment or environmental safety, is reliable and that sound conclusions are drawn from it. One goal of the project is to develop improved methods for interpreting statistical studies and analyzing statistical data arising in these areas. The intent of the project is to study problems relating to issues that are basic to a scientific discipline. Improving methods used to assess whether a test accurately predicts job performance or who will do well in school is important in educational research and psychology, as well as in discrimination cases. Similarly, methods for obtaining proper conclusions from data that is in grouped form to protect the anonymity of individual respondents can be used to analyze survey data used in economic, sociology, and public health.

该项目将为在法律、公共政策和基础社会科学研究中使用统计数据时出现的各种问题制定统计程序。 该项目将研究法律的，社会科学和公共政策背景下的问题，并制定适当的概率模型和统计方法，为他们的解决方案。 目标是确保在这些重要领域使用合理的方法。 例如，本项目将研究在实际法律的案件中使用的一些技术，以评估其统计特性，并创造更有效的替代方法。 由于保护研究参与者的隐私和保证他们提供的信息的机密性对于保持公众合作至关重要，该项目还将研究使用分组而不是个人数据的方法。法律的制度决定了我们社会中的许多重要问题。 因此，在涉及平等就业或环境安全等实际案例中提交的统计证据必须可靠，并从中得出合理的结论，该项目的一个目标是制定更好的方法，解释这些领域的统计研究和分析统计数据。 该项目的目的是研究与科学学科基本问题有关的问题。 改进用于评估测试是否准确预测工作表现或谁将在学校表现出色的方法在教育研究和心理学以及歧视案件中非常重要。 同样，从分组形式的数据中获得正确结论以保护个体受访者的匿名性的方法可以用于分析经济学，社会学和公共卫生领域的调查数据。